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  1. Free Download [OFFER] Python Coding Challenges With Solutions For Beginners Published 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 134.11 MB | Duration: 0h 56m Unlock Your Coding Potential: Python Challenges for Beginners - Practice and Master Python with Engaging Exercises! What you'll learn Solve Over 40 Python Coding Exercises from Basic to Advanced Concepts Have a solid understanding of various programming concepts and techniques. Gain confidence in tackling technical interview questions. Be proficient in solving a wide range of coding exercises. Improve your problem-solving skills and coding efficiency. Enhance your overall knowledge and proficiency in programming languages. No matter your skill level, our course offers something for everyone, from basic concepts to advanced topics. Requirements Basics of Python Description Are you ready to take your Python programming skills to the next level? Join us in this comprehensive course designed to help beginners master Python coding challenges and strengthen their problem-solving abilities. Through a series of engaging coding exercises and detailed solutions, you'll gain hands-on experience and build confidence in your Python coding skills.Why Coding Exercises?Coding exercises are a fundamental part of software development. They help sharpen your problem-solving skills, improve your coding proficiency, and prepare you for technical interviews. In this course, you'll get hands-on experience with a variety of coding exercises designed to challenge and expand your skills.Course Structure:Our course is structured to provide you with a comprehensive learning experience. Each module consists of a series of coding exercises covering different programming concepts and techniques. You'll have the opportunity to practice solving these exercises on your own and then check your solutions against detailed explanations provided by our instructors.What You'll Learn:Fundamental Python Concepts: Reinforce your understanding of Python fundamentals through practical coding challenges.Data Structures and Algorithms: Explore common data structures with coding exercises that enhance your knowledge and proficiency.Problem-Solving Strategies: Learn effective problem-solving techniques and strategies to tackle coding challenges efficiently and methodically.Debugging and Optimization: Practice debugging techniques and learn how to optimize your code for better performance and readability.How This Course Benefits Your Career:Preparation for Technical Interviews: Coding challenges are a common component of technical interviews for software development roles. By mastering Python coding exercises, you'll be well-prepared to ace technical interviews and demonstrate your problem-solving skills to potential employers.Enhanced Problem-Solving Skills: Coding challenges provide practical opportunities to solve real-world problems using Python. By consistently practicing coding exercises, you'll sharpen your problem-solving abilities and become a more effective programmer.Portfolio Building: Completing coding challenges and showcasing your solutions in a portfolio demonstrates your proficiency in Python programming and can impress potential employers or clients.Additional Content : Python Object-Oriented Programming (OOP) Concepts:In addition to coding challenges, this course includes Additional content on Python Object-Oriented Programming (OOP) concepts. You'll learn how to apply OOP principles such as classes, objects to solve coding challenges more effectively and efficiently.Conclusion:Whether you're a beginner looking to solidify your Python programming skills or a job seeker preparing for technical interviews, this course is your gateway to success. By mastering Python coding challenges and understanding core OOP concepts, you'll not only advance your career prospects but also become a more proficient and confident Python programmer.Enroll now and embark on your journey to Python mastery! Overview Section 1: Python Lecture 1 Solution Lecture 2 Solution Lecture 3 Solution Lecture 4 Solution Lecture 5 Solution Lecture 6 Solution Lecture 7 Solution Lecture 8 Solution Lecture 9 Solution Lecture 10 Solution Lecture 11 Solution Lecture 12 Solution Lecture 13 Solution Lecture 14 Solution Lecture 15 Solution Lecture 16 Solution Lecture 17 Solution Lecture 18 Solution Lecture 19 Solution Lecture 20 Solution Lecture 21 Solution Lecture 22 Solution Lecture 23 Solution Lecture 24 Solution Lecture 25 Solution Lecture 26 Solution Lecture 27 Solution Lecture 28 Solution Lecture 29 Solution Lecture 30 Solution Section 2: Python OOPS Concept Exercises - Additional content Lecture 31 Solution Lecture 32 Solution Explanation Lecture 33 Solution Lecture 34 Solution Explanation Lecture 35 Solution Lecture 36 Solution Explanation Lecture 37 Solution Lecture 38 Solution Explanation Lecture 39 Solution Lecture 40 Solution Explanation Lecture 41 Solution Lecture 42 Solution Explanation Lecture 43 Solution Lecture 44 Solution Explanation Lecture 45 Solution Lecture 46 Solution Explanation Lecture 47 Solution Lecture 48 Solution Explanation Lecture 49 Solution Lecture 50 Solution Explanation Students and beginners looking to improve their coding skills.,Experienced developers seeking to enhance their problem-solving abilities.,Job seekers preparing for technical interviews.,Anyone interested in advancing their knowledge of programming languages. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  2. Free Download [OFFER] Data Science with Python - Foundations of Machine Learning Released 3/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 40m | Size: 114 MB Machine learning is one of the hottest fields in the world today. This course will teach you how to get started solving business problems using Python. You've probably heard about how machine learning is shaping our world-from facial recognition to package delivery, from speech recognition to product recommendations. But how do you get started in this exciting field? In this course, Data Science with Python: Foundations of Machine Learning, you'll gain the ability to solve business problems using Python. First, you'll explore how to identify and frame various types of machine learning problems. Next, you'll discover how to train a machine learning model, using prepared data. Finally, you'll learn how to evaluate the performance of a machine learning model using various evaluation metrics. When you're finished with this course, you'll have the skills and knowledge of the machine learning process to effectively build, train, and evaluate your own models using Python. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  3. Free Download [OFFER] Complete python 3 programming Published 3/2024 Created by Parameshwar Puligilla MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 32 Lectures ( 3h 59m ) | Size: 1.4 GB programming, coding, practical learning What you'll learn: this course helps to write python 3 program from scratch here you get less theory more practical, helps to write small programs it helps to get basic and necessary programming skills to get a programmer job role we will update this course regularly that makes you updated and ready for different job roles Requirements: this course is for beginner to expert who have a basic computer knowledge with basic programming skillls Description: Chapter 1. introduction 6:59Lesson 1. introduction to pythonLesson 2. hello world - My first program 6:59Chapter 2. values and datatypes 20:49Lesson 3. variables 7:16Lesson 4. Dynamic Typing 3:00Lesson 5. Data types 3:16Lesson 6. Playing with numbers 5:29Lesson 7. operator precedence 1:48Chapter 3. Strings 78:30Lesson 8. Strings in python 10:57Lesson 9. The escape characters 11:53Lesson 10. Indexing in string 4:16Lesson 11. Negative indexing in string 2:37Lesson 12. Slicing 5:15Lesson 13. Slicing with negative numbers 4:08Lesson 14. Steps in slicing 1:46Lesson 15. Slicing backwards 7:11Lesson 16. String operators 1:35Lesson 17. String replacement fields 13:50Lesson 18. String Formatting 12:12Lesson 19. F-strings 2:50Chapter 4. programming with flow controls 107:38Lesson 20. Statements and blocks 3:24Lesson 21. If statements 7:13Lesson 22. If - else 4:34Lesson 23. If -elif -else 6:03Lesson 24. Nested if 7:42Lesson 25. Using and, or in if conditions 11:04Lesson 26. More on if 11:15Lesson 27. For loops 24:20Lesson 28. For range 4:02Lesson 29. Nested for loops 7:39Lesson 30. more on for loops 5:25Lesson 31. While loop 8:15Lesson 32. More on while loop 6:42Chapter 5. Lists 151:16Lesson 33. Lists introduction 25:28Lesson 34. Mutable and Immutable datatypes 18.45Lesson 35. Common sequence operations 9:30Lesson 36. mutable sequence operations 18:07Lesson 37. append example 18:27Lesson 38. Iterating over a list 21:04Lesson 39. Removing items from list 8:01Lesson 40. Sort and Sorted 33:54 Who this course is for: beginner python developers Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  4. Free Download [OFFER] Python Mastery for Beginners (2024) Published 3/2024 Created by The Kiran Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 39 Lectures ( 2h 52m ) | Size: 3 GB Exploring Python: Fundamentals, Data Types, Functional Programming, Projects, Logical Skills, Coding in Python What you'll learn: Grasping the core python fundamental concepts needed for industry Getting ready for upgradation in technology Presenting answers during interviews Communicating clearly and briefly during interviews and when explaining about technology Requirements: No particular logical skills necessary No prior programming knowledge necessary No specific qualifications required No need for specific logical abilities No programming background required No formal qualifications needed Description: In this course, we'll take a deep dive into Python, a super cool programming language. Whether you're new to coding or have some experience, this course will guide you through Python's basics with simplicity and clarity.We'll start by getting to know Python and how it works. You'll learn the ABCs of coding, like how to tell Python what to do and when to do it. We'll then move on to explore different types of data-like numbers, words, and lists-and discover how to manipulate them to make our programs do awesome stuff.As we journey further, we'll uncover the magic of functional programming. This fancy term simply means we'll learn how to write code in a neat and organized way, making it easier to understand and modify later on.But wait, there's more! We'll embark on a fun project together, where you'll get to flex your Python muscles and build something cool from scratch. Through hands-on practice and real-world examples, you'll see how Python can bring your ideas to life.And that's not all! Along the way, we'll sharpen our problem-solving skills. We'll learn how to break big problems into smaller, more manageable pieces, making it easier to solve them one step at a time.Moreover, you'll discover the joy of collaboration as we engage in discussions, share tips and tricks, and learn from each other's experiences. The course isn't just about coding-it's about building a supportive community that encourages growth and learning.Additionally, you'll gain valuable insights into the world of computer science and how Python fits into the bigger picture. You'll learn about different career paths in tech and get inspired to explore new opportunities.Furthermore, you'll have access to a wealth of resources, including interactive quizzes, and helpful articles, to reinforce your learning and keep you engaged throughout the course.By the end of this journey, you'll feel like a Python pro, ready to tackle more advanced challenges and explore the endless possibilities of coding. So, grab your keyboard, and let's get started on this exciting adventure! Who this course is for: Perfect for beginners and experienced folks Great for both working and unemployed people Helps with switching careers or starting a new job Can boost your earnings by crackng Interviews Provides a path for personal development Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  5. Free Download [OFFER] New to Python Automation Step by Step Python 4 Tester-2023 Last updated 10/2023 Duration: 11h 22m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1kHz, 2ch | Size: 2.89 GB Genre: eLearning | Language: English Step by Step Python | Excel Handling | Pytest Framework | Web Scrapping | Test Data Generation What you'll learn Expert level knowledge with practical exposer of Python for Realtime implementation Ready to implement python with different automation tools like Selenium or Appium Ready to face Python interviews(Python Automation Interviews) Ready to implement python based framework for different types of Automation(Web, API & Utility) Expert Level understanding of different libraries like OpenPyXL, CSV etc Ready to write different Manual Testing utilities using Python Requirements Basic understanding of Windows Operating System Good to have understanding of Manual Testing, Processes, Functional & Regression Testing Should be ready to invest at least 30mins a day for practice and concept implementation Description >> Course Updates << Jan 2023 : Updated Condition Handling and Looping videos Nov 2021: Added Data Generation Project Apr 2021 Updated video quality Looking to Automate your testing stuffs using Python ? Then you are on the right place. This course will help you to understand and Learn Python programming from Scratch to Expert Level. It is specially designed by keeping Software Testing in mind so almost all already/libraries of Python which are required in automation would be covered in his course. Python in not just use for web browser automation but also can use for following Read | Search & validate data in excel Have to pull text off of several web pages? Copy thousands of files from one location to another Perform repeatable tasks in single click Rename multiple files & folders within a second. Python can help in automating tasks like - Setting up environments for testing Analyzing data. Extracting performance data Automate API Automate Web Applications Generate test Data Course Coverage Step by Step Setup Why to Learn Python as Software Tester Basic Programming Modules OOPS Concepts OpenPyXl Working with Notepad and CSV Pytest Framework Interview Question Practical Implementation Practice Exercises Realtime Scenario Best Practices After this course, you will be eligible to implement your knowledge to make Testing Utilities using Python and also ready to automation different types of application (Web, API) using Python, Most common tools available in market which support python are following, you will be ready to work on these tools after completing this course Selenium with Python API Testing using Python Appium with Python Robot Framework Who this course is for Manual Testers Looking Opportunity in Python Automation Automation testers looking to switch to Selenium or Appium with Python Professional want to automate web application or API through Python programming Any professional want to start carrier in python Automation Freshers looking for opportunity in Automation Testing Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  6. Free Download [OFFER] Python, MySQL, ChatGPT & Tableau with Data Analysis Projects Published 3/2024 Created by Graeme Gordon MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 197 Lectures ( 21h 20m ) | Size: 18 GB No Prior Experience Required - Learn MySQL, Python, ChatGPT and all topics for the Tableau Data Analyst Certification What you'll learn: Understand MySQL and it's role in data storage and analysis Gain hands-on experience in using Python libraries such as Pandas and Matplotlib for data manipulation, cleaning, visualization, and analysis Learn how to effectively use ChatGPT as an assistant in writing code and analyzing data Study the Tableau topics required for the Tableau Certified Data Analyst exam and prepare with hands on tutorials Build your own interactive dashboard in Tableau Engage in practical projects involving SQL, Python, ChatGPT, and Tableau, gaining hands-on experience in each technology. Requirements: No programming experience required. We will start from scratch. A PC or laptop with internet connection capable of installing MySQL Workbench Description: Welcome to this comprehensive course designed to equip you with the skills needed for effective data analysis and visualization. This course is perfect for beginners, as no prior experience is required. Whether you're looking to change careers, enhance your current job, or simply learn a new skill, this course is tailored for you.What You Will Learn:• Python for Data Analysis: Learn 2 popular python libraries - Pandas and Matplotlib, starting from the basics and progressing to advanced data manipulation techniques. You'll learn how to handle datasets, perform computations, and create dynamic columns, among other skills.• SQL: Understand the need for SQL in managing and querying databases. You'll start with the fundamentals and advance to complex operations like joins, subqueries, and aggregate functions. Real-world projects will solidify your knowledge and prepare you for industry tasks.• ChatGPT for Enhanced Productivity: Discover how to write better prompts with ChatGPT, transforming it into a powerful assistant for your coding and analysis needs. Learn to assign roles, add instructions, and provide context to maximize ChatGPT's capabilities.• Tableau for Data Visualization: Study the use of Tableau in creating stunning visualizations. From basic charts to complex dashboards, you'll explore how to present data in a meaningful and impactful way. The course covers certification topics, ensuring you're well-prepared for the Tableau Data Analyst Certification.• Real-World Projects: Apply your skills in projects like analyzing LA crime data and exploring sales trends. These hands-on experiences will reinforce your learning and give you a portfolio to showcase your abilities.Why Take This Course?• Comprehensive Curriculum: Covering four major tools (Python, SQL, ChatGPT, and Tableau), this course provides a holistic approach to data analysis and visualization.• No Experience Required: Start from scratch and gradually build your expertise. Our step-by-step guidance ensures that anyone can follow along.• Practical Projects: Real-world projects enhance your understanding and prepare you for real-life challenges.• Future-Proof Skills: Data analysis and visualization are in high demand across industries. This course equips you with skills that are valuable in today's job market.• Flexibility: Learn at your own pace with lifetime access to the course materials.Who Is This Course For?• Beginners interested in data analysis and visualization.• Professionals seeking to enhance their skills in Python, SQL, ChatGPT, and Tableau.• Anyone looking to switch careers to data-related fields. Who this course is for: Anyone with an interest in Data Analysis Students looking to learn and practice the topics required for the Tableau Certified Data Analyst exam Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  7. Free Download [OFFER] CBTNuggets - Certified Professional in Python Programming 1 (PCPP1) Released 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 339 Lessons ( 50h 57m ) | Size: 38.2 GB This intermediate Certified Professional in Python Programming 1 (PCPP1) training prepares software developers to use the Python programming language in accomplishing coding tasks and advanced programming objectives. The Certified Professional in Python Programming is a two-part certification from the Python Institute. While the second part (PCPP2) focuses on implementing Python into advanced software architectures, PCPP1 simply focuses on a deep familiarity with object-oriented programming (OOP) principles. The PCPP1 is not simply a Python certification, it represents a proficiency in advanced uses of classes and OOP features. This course takes Python beginners and gives them enough hands-on training scenarios and real-world practice to make them advanced Python users. Whether you're preparing for the PCPP1 certification or just want to write Python well, this course is your key to becoming an OOP king. For anyone who manages IT training, this Python training can be used to onboard new software developers, curated into individual or team training plans, or as a Python reference resource. PCPP1: What You Need to Know This PCPP1 training has videos that cover topics such as Writing good Python code that conforms with best practices and conventions Understanding OOP concepts, techniques, and categories Developing graphical interfaces in Python Managing and programming network operations Who Should Take PCPP1 Training? This Certified Professional in Python Programming 1 (PCPP1) training is considered associate-level Python training, which means it was designed for software developers. This Python skills course is designed for software developers with three to five years of experience with general-purpose programming language. New or aspiring software developers. If you want to land a job as a programmer, Python should appeal to you for several reasons. It's famously simple to learn and readable. It's also a highly versatile language that you can adapt to every step of your career. If you take this course, you'll be prepared for the Python certification that employers recognize as a marker of programming comfort and expertise. Experienced software developers. This course is useful for experienced developers who have some familiarity with Python already but have never buckled down and mastered the language. Turn your experience and familiarity into by-the-book mastery of the versatile and in-demand Python programming language with this PCPP1 training. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  8. Free Download [OFFER] Coursera - Applied Python Data Engineering Specialization Released 3/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 160 Lessons ( 15h 25m ) | Size: 2.11 GB Elevate your coding skills with data engineering. Use big data for decision-making, analysis, AI and machine learning What you'll learn Create scalable big data pipelines (Hadoop, Spark, Snowflake, Databricks) for efficient data handling. Build machine learning workflows (PySpark, MLFlow) on Databricks for seamless model development and deployment. Implement DataOps/DevOps to streamline data engineering processes. Formulate and communicate data-driven insights and narratives through impactful visualizations with Python and data storytelling Skills you'll gain Data Science Big Data Python Programming Information Engineering Kubernetes Data Visualization Apache Hadoop Docker Container Apache Spark Snowflake (Data Warehouse) Learn how to use data engineering to leverage big data for business strategy, data analysis, or machine learning and AI. By completing this course series, you'll empower yourself with the knowledge and proficiency required to build efficient data pipelines, manage cutting-edge platforms like Hadoop, Spark, Snowflake, Databricks, and Kubernetes, and tell stories with data through visualization. You will delve into foundational big data concepts, distributed computing with Spark, Snowflake's architecture, Databricks' machine learning capabilities, Python techniques for data visualization, and critical methodologies like DataOps. This course series is designed for software engineers, developers, researchers, and data scientists who want to strengthen their specialization in data science or machine learning, as well as for professionals who are interested in pursuing a career as a data-focused software engineer, data scientist, or a data engineer working in cloud, machine learning, business intelligence, or other field. Applied Learning Project The Specialization features a capstone project focused on using Databricks' API to replicate an existing project. This provides hands-on experience working with Databricks to build a portfolio-ready data solution. You will apply Python to a variety of data engineering tasks. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  9. Free Download [OFFER] Python Graphics Programming and Game Development Last updated 10/2022 Duration: 1h17m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 198 MB Genre: eLearning | Language: English Master Python Basics Using A Fun Visual Design Library What you'll learn Create digital art through Python code Program video games in Python Create basic graphics creation programs using Python to build digital art tools Requirements You should have basic knowledge of Python or another basic programming language Description In this course, students will learn Python programming hands-on by using code to create fun art and games. This course teaches programming in Python and the Turtle Graphics library, a Python library used to create digital art and visual patterns. Students with little to no programming experience will find this course particularly useful as it will teach concepts from the ground up. Intermediate level students with an interest in using programming to capture user input and create graphics can also benefit from the later sections of this course. First, we will look at setting up Python IDLE and Turtle Graphics and some basic things we can do using the graphics library. Next, you will get hands-on experience using programming to create a simple graphics creation program. Finally, you will learn basic game development using Turtle Graphics and will understand how we can capture user input and construct game logic in Python. By the end of this course, you will have a firm grasp on the foundational concepts of Python programming and be able to implement your knowledge to create visually appealing graphics. You will have a set of skills that you can use to build video games for your portfolio. Who this course is for Anyone who wants to take their Python skills up a level Beginners who want to learn how to create graphics through code Aspiring game programmers and software engineers Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  10. Free Download [OFFER] The Complete Python Developer Certification Course Last updated 12/2023 Created by Job Ready Programmer MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 63 Lectures ( 11h 50m ) | Size: 2 GB Master Python and pass the PCEP-30-01 and the PCAP-31-02 Exams and become an industry ready python developer! What you'll learn: MASTER the Content Required to Pass the PCEP-30-01 and the PCAP-31-02 Exams Code Along With Me to PRACTICE and IMPLEMENT Everything You Learn An In-depth Understanding of Object Oriented Programming SOLVE 25+ Assignments with In-depth Solution Videos Gain the Knowledge Required to Solve Any Python Problem Learn the Python Coding Fundamentals Go Over the Best Practices Used in the Industry Apply for Python Developer Jobs with Confidence Requirements: Access to a computer with an internet connection and a passion to become a Python developer Description: LAST UPDATED: November 2023 (Added 2 New Python HW Projects)Getting certified as a Python developer is one of the best moves you can make to enter the job market as a developer! Python is ranked as the 2nd most in-demand programming language in the world. It can be applied in web applications, data science, machine learning, self-driving cars, automation, and much more! Python is THE language to know if you're looking to get into programming, or even revamp your current career. The starting salary for a Python developer is around $75,000. This can quickly double to over $150,000 after 5-6 years of experience.There are tons of Python courses out there. However, most of them expect you to learn through just watching and that is not an effective way to learn! I want my students to get their hands dirty and code along with me, and work on the 20+ assignments that I have spread out through the course. I hold your hand throughout the process and walk you through everything. My "no student left behind" model has worked for thousands of my students across all 15 of the courses that I have published.This course has no prerequisites, and it is perfect for anyone that is looking to land a job as an entry level Python developer. I've structured it to be simple and straightforward- I waste no time, and dive right into the code with various assignments along the way. We start off with the fundamental topics such as variables, datatypes, strings, lists, dictionaries and so on. We then expand on these fundamentals to learn more comprehensive topics such as functions, if and else statements, for and while loops and thoroughly master Object Oriented Programming. We finish off the course by covering classes, inheritance, python script files, file IO and more. At the end of each section, there are assignment lectures which give you the chance to practice everything that we have covered. In the assignment video, I give in-depth solutions and explain WHY we solve things a certain way. I don't want you to just sit back and watch a bunch of videos, I want you to get your hands dirty and practice writing code. Enroll today to master Python. As always, I offer a 30 day money back guarantee if you're not satisfied, but you won't need it. Who this course is for: Anyone that wants to ace the PCEP-30-01 and the PCAP-31-02 Exams Anyone that wants to get tons of practice in writing Python code Anyone that wants to be a highly paid Python Developer Anyone that wants to learn how to program in Python Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  11. Free Download [OFFER] Python GUI and Games with Tkinter - Build 5 GUI Games Last updated 11/2023 Created by Rohit Dharaviya MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 76 Lectures ( 11h 12m ) | Size: 4.61 GB Build Games with Python using tkinter What you'll learn: Be familiar with tkinter widgets Learn GUI from the basics Learn how to draw different shapes on canvas Keyboard and Mouse Events Create 2D animation Add tabs and a Menu in your application How to make Games 5+ GUI Games Requirements: You should have a basic understanding of the Python Programming Language. A computer system with an internet connection Description: Welcome to the "Python GUI and Games with Tkinter" course, a Tkinter is the standard Python interface for developing GUI. Python with Tkinter is the fastest and easiest way to create GUI applications. This course is created in a way that even a newbie can follow. Whether you have some experience in creating GUI using PyQt or any other framework or you are completely new this course is just right for you.In this course first, you will learn Tkinter widgets that are used to make your GUI application. You will learn how to use widgets, how to customize them, how to change their properties, and a lot more. Then we are going to use all these widgets to make our GUI Games. I will start by helping you get installed needed things on your system, which includes Python, pip, and, PyCharm IDE, after that we will install the required packages as and when needed.Tkinter widgets include:MainWindowPhotoImageLabelEntryButtonmessageboxCheckbuttonRadiobuttonScaleListboxcolorchooserTextfiledialogMenuFrameToplevelProgressbarCanvasScrollbarScrolledTextComboBoxTreeViewSpinboxLabelFrameMenubuttonSeparatorSizegripand muny more!Then we are going to learn how to catch events.Key Events from the keyboardMouse eventsOnce we are done with the widgets, you will take a big leap and we are going to make games using Tkinter.You will make the below games along with the course.Game - 01: Rock paper scissorsGame - 02: tic tac toeGame - 03: Color ball finderGame - 04: Make an image from the image partGame - 05: Flip a Card ( Card pair)You will get lifetime access to all the lectures.So what are you waiting for? Start creating an Awesome GUI application with me in the easiest and most practical way and boost your career. Who this course is for: Beginner Python Developers who want to build Awesome GUI Games using tkinter All level Python GUI Developer Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  12. Free Download [OFFER] Advanced Python Object-Oriented Programming Released: 03/2024 Duration: 1h 21m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 211 MB Level: Advanced | Genre: eLearning | Language: English In this advanced course, Miki Tebeka, the CEO at 353Solutions, guides you through object-oriented programming features in Python. Learn about attribute access and how to use properties, name mangling, descriptors, and more. Explore using class methods, static methods, mixin classes, and abstract base classes. Dive into sequences, mappings, numbers, and callable types. Find out what metaclasses are and how you can use them. Plus, go over class creation utilities that you'll need to use. Each chapter comes with a hands-on challenge to practice and reinforce what you learn. The best way to learn a language is to use it in practice. That's why this course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Using GitHub Codespaces with this course" video to learn how to get started. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  13. Free Download [OFFER] Python Graphics Programming and Game Development Last updated 10/2022 Duration: 1h17m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 198 MB Genre: eLearning | Language: English Master Python Basics Using A Fun Visual Design Library What you'll learn Create digital art through Python code Program video games in Python Create basic graphics creation programs using Python to build digital art tools Requirements You should have basic knowledge of Python or another basic programming language Description In this course, students will learn Python programming hands-on by using code to create fun art and games. This course teaches programming in Python and the Turtle Graphics library, a Python library used to create digital art and visual patterns. Students with little to no programming experience will find this course particularly useful as it will teach concepts from the ground up. Intermediate level students with an interest in using programming to capture user input and create graphics can also benefit from the later sections of this course. First, we will look at setting up Python IDLE and Turtle Graphics and some basic things we can do using the graphics library. Next, you will get hands-on experience using programming to create a simple graphics creation program. Finally, you will learn basic game development using Turtle Graphics and will understand how we can capture user input and construct game logic in Python. By the end of this course, you will have a firm grasp on the foundational concepts of Python programming and be able to implement your knowledge to create visually appealing graphics. You will have a set of skills that you can use to build video games for your portfolio. Who this course is for Anyone who wants to take their Python skills up a level Beginners who want to learn how to create graphics through code Aspiring game programmers and software engineers Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  14. Free Download [OFFER] Building Modern Python Apps Learn KivyMD with 20 Projecs Published 3/2024 Created by Abdurrahman TEKIN MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 26m ) | Size: 2.1 GB Hands-On Project-Based Learning for Python KivyMD Library with 20 Engaging Exercises What you'll learn: How to create a basic app using the KivyMD library. The process of adding Material Design components to their applications. Implementing Material buttons to enhance user interaction. Creating bottom navigation for seamless app navigation. Building text fields to accept user input and display information. Constructing visually appealing cards to present data elegantly. Implementing progress bars to provide visual feedback on tasks. Understanding and utilizing grid layouts for organizing app content. Integrating MDScreen and buttons to create interactive user interfaces. Implementing MDScreen and card combinations to design dynamic app screens. Requirements: Basic knowledge of Python programming language. Familiarity with fundamental programming concepts like variables, functions, and control structures. Understanding of object-oriented programming (OOP) principles. Experience with Python development environments and tools such as IDEs or text editors. Description: Welcome to the ultimate Python KivyMD course, where you'll embark on an exciting journey of building 20 real-world projects to master the powerful KivyMD library!Are you ready to take your Python skills to the next level and create stunning user interfaces with the elegance of Material Design? Look no further! This comprehensive course is designed to provide you with hands-on experience in developing 20 engaging projects using the KivyMD framework.Throughout the course, you'll gradually progress from the basics to advanced concepts, gaining a solid understanding of KivyMD's key components and functionalities. Starting with a simple app, you'll quickly dive into adding Material Design components, exploring material buttons, implementing bottom navigation, creating text fields, and constructing beautiful cards.As you advance, you'll tackle more complex features such as progress bars, grid layouts, sliders, dropdown menus, and popups. You'll then apply your newfound knowledge to build practical applications, including a handy to-do list app, a fully functional calculator, an interactive form, a simple multi-screen app, a weather app, and a captivating quiz app.With each project, you'll not only learn how to leverage KivyMD's extensive features but also gain valuable insights into best practices for app development, user experience design, and coding techniques. You'll discover how to bind data to text fields, create dynamic content, handle user input, and seamlessly navigate between screens.By the end of this course, you'll have a comprehensive portfolio of 20 impressive projects that showcase your mastery of Python, KivyMD, and Material Design principles. Whether you're a beginner or an experienced Python developer, this course will empower you to create visually stunning and highly functional applications that will captivate your users.Enroll now and embark on this immersive learning experience to become a proficient KivyMD developer and bring your app ideas to life with style and elegance. Let's get started on your journey of mastering Python and KivyMD today! Who this course is for: Python developers who want to expand their skills and venture into GUI app development. Beginner programmers looking to learn Python and gain practical experience building real-world applications. Aspiring app developers interested in creating visually appealing and interactive Python apps. Students or professionals in computer science or software engineering fields seeking to enhance their skill set. Web developers looking to broaden their expertise and explore desktop or mobile app development. Entrepreneurs or individuals with app ideas who want to bring their concepts to life using Python and KivyMD. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  15. Free Download [OFFER] Advanced Python Object-Oriented Programming Released: 03/2024 Duration: 1h 21m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 211 MB Level: Advanced | Genre: eLearning | Language: English In this advanced course, Miki Tebeka, the CEO at 353Solutions, guides you through object-oriented programming features in Python. Learn about attribute access and how to use properties, name mangling, descriptors, and more. Explore using class methods, static methods, mixin classes, and abstract base classes. Dive into sequences, mappings, numbers, and callable types. Find out what metaclasses are and how you can use them. Plus, go over class creation utilities that you'll need to use. Each chapter comes with a hands-on challenge to practice and reinforce what you learn. The best way to learn a language is to use it in practice. That's why this course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Using GitHub Codespaces with this course" video to learn how to get started. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  16. Free Download [OFFER] Python Mastery Course From Beginner to Advanced (2024) Published 3/2024 Created by EDUCBA Bridging the Gap MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 148 Lectures ( 20h 38m ) | Size: 7.54 GB Master Python programming from basics to advanced with hands-on projects and case studies covering a variety of topics What you'll learn: Students will learn the basic concepts of Python programming language, including installation and setup of the Python environment, fundamental syntax, and data They will explore control flow structures like loops and conditional statements, along with function definitions and usage. Advanced topics such as file handling, classes, and object-oriented programming will be covered. Additionally, students will implement various algorithms and data structures in Python and work on practical applications through hands-on projects and cases Finally, they will gain proficiency in performing sentiment analysis and cryptography using Python libraries. Requirements: Basic understanding of computer operations and familiarity with using a computer. No prior programming experience required, but familiarity with basic concepts of programming would be beneficial. Willingness to learn and engage in hands-on coding exercises. Description: Welcome to the Python Mastery Course for 2024! This comprehensive course is designed to take you from a beginner to an advanced Python programmer, covering a wide range of topics and real-world applications.Whether you're just starting your journey in programming or looking to expand your Python skills, this course will provide you with the knowledge and hands-on experience needed to become proficient in Python programming.Throughout the course, you will learn essential Python concepts, such as variables, loops, functions, and data structures. You'll also explore more advanced topics, including file handling, object-oriented programming, and working with libraries for data analysis, machine learning, and web development.In addition to theoretical knowledge, this course emphasizes practical learning through hands-on projects and case studies. You'll have the opportunity to build real-world applications, including chatbots, expense manager apps, cryptography tools, and sentiment analysis systems, allowing you to apply your Python skills to solve practical problems.By the end of this course, you'll have the confidence and expertise to tackle a wide range of programming tasks using Python and be well-prepared to pursue further studies or embark on a career in software development, data science, or artificial intelligence.Get ready to embark on an exciting journey into the world of Python programming and unleash your full potential as a Python developer!Section 1: Python For Beginners: 2024This section serves as an introduction to Python programming for beginners. Starting with an overview of Python basics and installation, learners will gradually progress through fundamental concepts such as loops, functions, and advanced topics like working with text data.Section 2: Python Intermediate Training: 2024In this intermediate section, learners will delve deeper into Python programming, focusing on topics such as working with matrices, sorting methods, and data structures. They will explore advanced techniques for handling lists, dictionaries, and various sorting algorithms.Section 3: Python Advanced Training: 2024The advanced training section builds upon the foundational knowledge gained in the previous sections, covering topics like file handling, classes and objects, exceptions, and standard library functions. Learners will deepen their understanding of Python programming and its application in real-world scenarios.Section 4: Python Case Study - Create ChatbotIn this case study section, learners will apply their Python skills to create a chatbot. They will learn about text processing techniques, natural language understanding, and the implementation of generative and attentive chatbots using advanced Python libraries.Section 5: Python Case Study - Expense Manager AppThis case study focuses on building an expense manager application using Python. Learners will develop skills in data management, user input handling, and data visualization as they create a functional expense management system.Section 6: Python Case Study - Instant MarkupIn this case study, learners will work on creating an advanced markup system using Python. They will explore concepts such as rule-based processing, data gathering, and PDF manipulation to develop an automated markup tool.Section 7: Python Case Study - CryptographyThis section introduces learners to the field of cryptography using Python. They will learn about various encryption techniques, including substitution ciphers, transposition ciphers, and public-key cryptography, and implement them programmatically.Section 8: Python Case Study - Sentiment AnalysisIn the final case study, learners will delve into sentiment analysis using Python. They will learn about sentiment analysis algorithms, data cleaning techniques, and sentiment classification methods to analyze textual data for sentiment polarity. Who this course is for: Beginners interested in learning Python programming from scratch. Students aiming to build a strong foundation in Python for various applications such as data analysis, web development, machine learning, and more. Professionals seeking to expand their skill set or transition into roles that require Python proficiency. Anyone looking to start a career in software development, data science, artificial intelligence, or related fields. 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  17. Free Download [OFFER] Python Gui Development Masterclass Build Interactive Apps Published 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.55 GB | Duration: 11h 54m Master Python GUI development and create interactive applications with our comprehensive training course. What you'll learn Building interactive graphical user interfaces (GUIs) using Python. Understanding different types of GUI interfaces and their applications. Creating various GUI elements such as buttons, canvas, checkboxes, frames, labels, entry fields, list boxes, menus, message boxes, radio buttons, scales Scroll bars, text boxes, spin boxes, paned windows, and more. Programming GUIs with Tkinter library in Python. Developing GUI applications for different purposes including calculators, cafe management systems, tic-tac-toe games, and more. Integrating GUIs with other Python functionalities such as file handling, database management, and data analysis. Designing and implementing complex GUI projects with multiple windows and functionalities. Troubleshooting and debugging GUI applications effectively. Enhancing user experience by customizing GUI elements and layouts. Deploying and distributing GUI applications for various platforms. Requirements Basic knowledge of Python programming language. Familiarity with fundamental programming concepts such as variables, data types, loops, conditional statements, and functions. Understanding of object-oriented programming (OOP) concepts would be beneficial for more advanced topics. Knowledge of basic GUI concepts would be helpful but not required. Description Welcome to the Python GUI Training course! This course is designed to provide you with comprehensive knowledge and practical skills in developing Graphical User Interfaces (GUIs) using Python programming language. Graphical User Interfaces play a vital role in modern software development, allowing users to interact with applications through intuitive visual elements like buttons, menus, and forms.Throughout this course, you will embark on a journey to master Python GUI development by exploring various concepts, tools, and techniques. From basic GUI programming to advanced application development, you will learn how to design, create, and deploy interactive interfaces for a wide range of purposes.Whether you're a beginner looking to enter the world of GUI development or an experienced Python programmer aiming to enhance your skill set, this course will equip you with the knowledge and hands-on experience needed to succeed in building user-friendly applications.Join us on this exciting learning adventure as we dive into the realm of Python GUI development and unlock the potential to create visually appealing and functional software solutions. Let's get started!Section 1: Python GUI TrainingThis section serves as an introduction to Python GUI (Graphical User Interface) development. It covers various essential elements and functionalities required to build interactive user interfaces using Python.Section 2: Python GUI Programming using Tkinter and PythonHere, you'll delve deeper into GUI programming using Tkinter, a standard Python interface to the Tk GUI toolkit. The section provides hands-on experience in creating graphical interfaces, organizing layouts, handling events, and integrating other essential functionalities into GUI applications.Section 3: PyCharm Project - Tic-Tac-Toe Game Development with GUI-TkinterIn this section, you'll embark on a project to develop a Tic-Tac-Toe game with a graphical user interface using Tkinter. Through step-by-step guidance, you'll learn how to design the game's interface, implement game logic, and create an engaging user experience.Section 4: Python GUI Case Study - Creating a Windows ApplicationHere, you'll explore a comprehensive case study involving the creation of a Windows application with a GUI interface. From designing different pages to implementing functionalities like check-in, guest list management, and check-out, this section provides practical insights into building real-world GUI applications.Section 5: Python GUI Case Study - Creating a CalculatorIn this final section, you'll dive into another case study focused on building a calculator application with a graphical interface. Starting with a simple calculator, you'll gradually enhance its capabilities to develop a scientific calculator, showcasing your proficiency in Python GUI development.This course offers a holistic learning experience in Python GUI development, equipping you with the skills and knowledge needed to create interactive applications with ease and efficiency. Overview Section 1: Python GUI Training Lecture 1 Introduction to Python GUI Lecture 2 Types of GUI Interfaces Lecture 3 Basic GUI Programming Lecture 4 Creating Button in Python GUI Lecture 5 Creating Canvas in Python GUI Lecture 6 Creating CheckBox in Python GUI Lecture 7 Creating Frames in Python GUI Lecture 8 Creating Labels in Python GUI Lecture 9 Entry in Python GUI Lecture 10 List Box in Python GUI Lecture 11 Menu in Python GUI Lecture 12 Menu in Python GUI Continue Lecture 13 Menu Button in Python GUI Lecture 14 Message in Python GUI Lecture 15 Radio Button in Python GUI Lecture 16 Scale in Python GUI Lecture 17 Scroll Bar in Python GUI Lecture 18 Text in Python GUI Lecture 19 Top Level in Python GUI Lecture 20 Spin Box in Python GUI Lecture 21 Paned Window in Python GUI Lecture 22 Label Frame in Python GUI Lecture 23 Message Box in Python GUI Section 2: Python GUI Programming using Tkinter and Python Lecture 24 Introduction to Python Programming Lecture 25 Understanding the Organising Layout Lecture 26 Creating Grid Layout Option Lecture 27 Creating Menu and Menu Bar Lecture 28 Creating Print Button Lecture 29 Learning Mouse Click Events Lecture 30 Understanding the Message Box Option Lecture 31 Concept of File Handling Lecture 32 Creating Calculator Application and its Functions Lecture 33 Creating Buttons for Calculator Lecture 34 Creating Button Click Functions Lecture 35 Creating Connection with MySQL Lecture 36 Cafe Management System Application Lecture 37 Creating more Applications using Frames Lecture 38 Creating Info Label with Fonts Lecture 39 Rectifying Mistakes in the Menu Lecture 40 Creating Widget Options for Drinks Lecture 41 Inputing more Options in Widget Lecture 42 Creating the Payments Information Lecture 43 Adding Buttons for Payment Lecture 44 Creating List of Variables Lecture 45 Using Text Option for Variables Lecture 46 Checking Functionality of Reset Option Lecture 47 Setting the Product Prices Lecture 48 Adding Codes for Functions Lecture 49 Defining Receipt Functions Lecture 50 Defining Receipt Functions Continues Lecture 51 Creating Table for Database Lecture 52 Selecting and Displaying the Data Section 3: PyCharm Project - Tic-Tac-Toe Game Development with GUI-Tkinter Lecture 53 Introduction to Project Lecture 54 Code Explanation of Libraries Tkinter Lecture 55 Configure Windows Lecture 56 Canvas Function Lecture 57 GUI Part 1 Output Lecture 58 Importing Libraries Creating Window Lecture 59 Labels and Entry Lecture 60 Creating Function Lecture 61 Buttons in GUI Lecture 62 Button Click Function Lecture 63 Integrating two windows Lecture 64 Button Command Lecture 65 Downloading .py File Section 4: Python GUI Case Study - Creating a Windows Application Lecture 66 Introduction to Project Lecture 67 Creating First Page Lecture 68 Creating First Page Continue Lecture 69 More on First Page Lecture 70 Main Page Lecture 71 Create Check-Inn Page Lecture 72 Create Check-Inn Page Continue Lecture 73 Guest List Page Part 1 Lecture 74 Guest List Page Part 2 Lecture 75 Guest List Page Part 3 Lecture 76 Guest List Page Part 4 Lecture 77 Check Out Page Lecture 78 Check Out Page Continuous Lecture 79 Guest By Room No Page Lecture 80 Guest By Room No Page Continue Lecture 81 Creating Receipt Page Lecture 82 Output of the Project Section 5: Python GUI Case Study - Creating a Calculator Lecture 83 Introduction of Project Lecture 84 How to Develop Calculation Application Lecture 85 IDE Explanation Lecture 86 Importing Libraries Lecture 87 Tkinter Lecture 88 Code Gui Buttons Lecture 89 Widgets of Tkinter Lecture 90 Logic Behind Calculator Lecture 91 Function Call of Calculator Lecture 92 Simple Calculator Implementation Output Lecture 93 How to Code a Scientific Calculator Lecture 94 Adding Buttons to the Scientific Calculator Part 1 Lecture 95 Adding Buttons to the Scientific Calculator Part 2 Lecture 96 Adding Buttons to the Scientific Calculator Part 3 Lecture 97 Final and Spyder Output Beginner and intermediate Python developers who want to learn how to create graphical user interfaces (GUIs) using Python.,Professionals or students looking to enhance their skills in GUI programming with Python.,Individuals interested in developing desktop applications or interactive tools with user-friendly interfaces.,Anyone seeking practical knowledge and hands-on experience in building GUI applications using Python frameworks like Tkinter. 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  18. Free Download [OFFER] Python for Space Applications Git FastAPI Machine Learning Published 3/2024 Created by Spartificial Innovations MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 119 Lectures ( 15h 50m ) | Size: 8.13 GB Unleash Python's Potential in Space Exploration What you'll learn: Master Python fundamentals, including data types, control flow, and functions, to build a strong programming foundation for space applications. Utilize Git for version control and collaboration, enabling efficient management of code repositories for space projects. Harness essential Python packages like NumPy and Matplotlib for data manipulation, visualization, and analysis crucial for space exploration. Develop proficiency in simulating celestial mechanics, including planetary orbits and gravitational interactions, using numerical methods. Gain hands-on experience in deploying Machine Learning models as APIs using FastAPI, integration into real-world space systems for predictive analysis Requirements: No Programming Knowledge or Experience Required Description: Welcome to "Python for Space Application: Git, FastAPI, Machine Learning" - your gateway to mastering Python for space exploration and beyond! In this comprehensive course, we will delve into the fascinating world of Python programming, equipped with essential tools like Git, FastAPI, and Machine Learning algorithms tailored specifically for space applications.What You'll Learn:Installation and Setup: Get started by setting up your Python environment, including installations of essential tools like VS Code editor and Git for version control.Master the Basics of Python: Dive deep into Python fundamentals, covering topics such as variables, data types, control flow, functions, and more, while utilizing platforms like Google Colab for practical exercises.Build a Rocket using Object-Oriented Programming: Explore the principles of Object-Oriented Programming (OOP) as you construct a simulated rocket, learning to refine its functionalities and upload your progress to GitHub for collaboration.Explore Essential Python Packages: Discover key Python libraries like NumPy and Matplotlib, harnessing their power to manipulate data, create visualizations, and gain insights crucial for space exploration.Simulating Celestial Mechanics: Learn how to simulate the Earth's orbit around the Sun using numerical methods like Euler and Runge-Kutta 4, and extend your simulations to include Mars' orbit, gaining valuable insights into celestial mechanics.Build a Solar System Simulator: Embark on a project to develop a sophisticated solar system simulator using Pygame, incorporating gravitational force calculations and real-time visualization of celestial bodies.Solving Kepler's Equation: Dive into orbital mechanics by tackling Kepler's Equation, employing advanced numerical methods like Newton-Raphson to solve orbital anomalies and calculate satellite trajectories.Introduction to Machine Learning: Enter the realm of Machine Learning, understanding its applications in space exploration, and mastering concepts like linear regression through hands-on coding exercises.Deploy ML model as API using FastAPI: Wrap up your journey by deploying your Machine Learning model as an API using FastAPI, enabling seamless integration into real-world space applications.Why This Course Matters: With the rapid advancements in space technology, Python has become an indispensable tool for space engineers, scientists, and enthusiasts alike. By mastering Python alongside essential tools and techniques tailored for space applications, you'll be equipped to contribute to groundbreaking discoveries and innovations in the realm of space exploration. Who this course is for: Astronomy students and hobbyists looking to apply Python in their studies or projects. Beginner Python students looking to develop understanding of core concepts with a new perspective Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  19. Free Download [OFFER] Applied Python Scripting Solving Problems with Codes Published 3/2024 Created by EDUCBA Bridging the Gap MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 41 Lectures ( 5h 15m ) | Size: 2.2 GB Python Scripting through case studies, variables, conditional statements, loops, functions, classes and data structures What you'll learn: Fundamentals of Python Scripting: Understand the basics of Python scripting language, including variables, basic programming concepts, and user input. Control Structures: Learn about if-else statements and loops to control the flow of execution in Python scripts. Data Structures: Explore essential data structures such as lists and tuples and understand their usage in Python scripting. Functions and Classes: Dive into functions and classes to organize code effectively and create reusable components. Interactive Shell Usage: Gain proficiency in using Python's interactive shell for rapid development and testing. Case Study: To-do List Application: Apply Python scripting concepts to build a practical to-do list application, covering installation, debugging, and basic usa Case Study: Customer Information Management: Develop a console-based application for managing customer information, including input validation. Advanced Techniques: Explore advanced topics such as regular expressions for data validation and manipulation. By the end of the course, students will have a solid understanding of Python scripting fundamentals and the ability to develop practical applications Requirements: Basic Programming Knowledge: While not mandatory, having a basic understanding of programming concepts such as variables, conditionals, and loops will be helpful. Familiarity with Python: Some familiarity with the Python programming language would be beneficial but not required. Students should be comfortable with installing Python and executing simple Python scripts. Computer Skills: Students should have basic computer skills, including navigating file systems, installing software, and using a text editor or integrated development environment (IDE) for coding. Internet Access: Access to the internet is necessary for downloading software, accessing course materials, and seeking additional resources or help when needed. Description: Welcome to the Python Scripting Training course! This course is designed to provide you with a comprehensive understanding of Python scripting, from the basics to practical application through case studies. Whether you're a beginner looking to dive into the world of Python programming or an experienced developer seeking to enhance your scripting skills, this course has something to offer for everyone.Throughout the course, you will explore fundamental Python concepts such as variables, conditional statements, loops, functions, classes, and data structures. You'll also learn how to leverage Python scripting to build real-world applications, including a to-do list application, a customer information management system, and a console application for managing student records.By the end of this course, you'll have the knowledge and practical skills to write efficient Python scripts, develop functional applications, and tackle scripting challenges with confidence. So, let's embark on this Python scripting journey together and unlock the power of Python for your projects and career aspirations!Section 1: Python Scripting TrainingThis section serves as an introductory course to Python scripting, covering fundamental concepts and syntax. Starting with an overview of Python scripting, students learn about installation procedures and basic programming constructs such as variables, conditional statements, loops, and data structures like lists and tuples. The section concludes with lectures on functions, classes, and an introduction to using the Python shell for interactive coding.Section 2: Python Scripting Case Study - To-do List ApplicationIn this case study, students dive into practical application by building a to-do list application using Python scripting. The lectures guide them through setting up the development environment, installing necessary tools like Visual Studio Code and Django framework. They learn to create a folder structure, debug code, and implement basic functionalities such as displaying a "Hello World" message using Django.Section 3: Python Scripting Case StudyContinuing with case studies, this section introduces a project focused on creating a customer information management system. Students learn to develop a menu-driven console application using Python scripting. The lectures cover topics like creating classes, managing customer data, calculating brokerage amounts, and validating input information.Section 4: Python Scripting Case Study - Creating a Console ApplicationIn the final case study, students undertake the development of a console application for managing student records. They learn to create a menu-driven interface, add and delete students from a list, and implement regular expressions for validating input names. This section provides a practical hands-on experience in building a functional console application using Python scripting. Who this course is for: Beginners: Individuals who are new to Python scripting and want to learn how to automate tasks, develop simple applications, or delve into scripting for various purposes. Students: High school or college students who are interested in programming and want to start with Python scripting as their first programming language. Professionals: Professionals from non-technical backgrounds who need to learn Python scripting for their job roles, such as data analysts, researchers, or administrators. Career Switchers: Individuals looking to switch careers or enhance their skill set by adding Python scripting to their repertoire. Hobbyists: Enthusiasts who enjoy coding as a hobby and want to explore Python scripting for personal projects or creative endeavors. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  20. Free Download [OFFER] AI Projects with Python, TensorFlow, and NLTK Released 3/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 24m | Size: 53 MB Are you looking to boost your technical know-how with AI? This course is designed to help you develop the skills you need to know to start building your own AI projects in Python. Join instructor and Google Certified Python Expert Dhhyey Desai as he delves into the fundamentals of image classification using the powerful TensorFlow library. The second section of the course is focused on natural language processing (NLP) and the core concepts of sentiment analysis. Along the way, get introduced to the NLTK library, discovering how to use pretrained analyzers and gathering techniques for accurately analyzing text data. By the end of this course, you'll be prepared to create a personalized model with TorchRec, the PyTorch domain library that lets you build and analyze your own recommender systems for rating data. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Using GitHub Codespaces with this course" video to learn how to get started. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  21. Free Download [OFFER] Python Mastery - Build Web Apps, Automate Tasks & Explore AI Published 3/2024 Created by Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 136 Lectures ( 13h 8m ) | Size: 6.4 GB Master Python with real-world projects in web development, automation, and AI. Start your coding journey today! What you'll learn: Master Python Fundamentals: Students will learn the core principles of Python programming, including syntax, variables and more Implement Data Structures and Algorithms: Gain proficiency in using Python's built-in data structures like lists, tuples, dictionaries Explore Artificial Intelligence with OpenAI: Understand the basics of artificial intelligence and how to utilize the OpenAI API to integrate AI capabilities Develop and Deploy Web Applications with Django: Learn how to use the Django framework to create robust web applications. Requirements: No Prior Programming Experience Required: The course is designed for beginners. We start with Python basics, making it suitable for those with little to no programming experience. Willingness to Learn: Perhaps the most important requirement is a genuine interest in learning Python and spending time practicing coding outside of the instructional material. Description: Dive into the world of Python with "The Ultimate Python Bootcamp: Build Web Apps, Automate Tasks & Explore AI" - a comprehensive course designed to take you from Python novice to proficient developer. Whether you're looking to kickstart your programming career, enhance your coding skills, or dive into the fascinating world of artificial intelligence and web development, this course has everything you need to achieve your goals.Course Overview:Starting with the fundamentals, you'll gain a solid understanding of Python syntax, variables, and data types, setting the stage for more complex concepts. By demystifying data structures like lists, tuples, dictionaries, and more, you'll learn to organize and manipulate data efficiently, unlocking Python's full potential to solve real-world problems.But we don't stop at theory! Get hands-on experience with practical exercises that cover:Essential Programming Concepts: Master loops, functions, and object-oriented programming (OOP) to build robust applications. Learn the art of reading and writing files, enabling your programs to handle data seamlessly.Data Generation and Visualization: Discover how to generate data programmatically and bring your data to life with engaging visualizations. Whether for data analysis or to complement your web applications, these skills are invaluable.Consuming Online Data and APIs: Step into the world of web scraping and API consumption. Learn how to integrate external data sources and APIs into your applications, expanding their functionality and making them more dynamic.Plotting Graphs and Exploring AI with OpenAI API: Venture into data science by learning how to plot graphs for data analysis. Then, take a leap into the future by exploring artificial intelligence. Experiment with the OpenAI API to add cutting-edge AI capabilities to your projects.Web Development with Django: Embark on your web development journey with Django, the high-level Python web framework. Build sophisticated, data-driven web applications from the ground up. Learn about models, views, templates, and deploying your web apps to the world.Why Choose This Course?Real-World Projects: Apply what you learn to real-world projects covering web app development, task automation, and AI applications. Build a portfolio that showcases your new coding skills and problem-solving abilities.Comprehensive Curriculum: This course is carefully structured to guide you through each topic, ensuring a clear path from beginner to advanced concepts. No prior programming experience is required. Support: Get your questions answered as soon as possible.Whether you're aspiring to become a web developer, data analyst, AI enthusiast, or simply looking to automate daily tasks, "The Ultimate Python Bootcamp" is your gateway to mastering Python and unlocking a world of technology opportunities. Enroll now and start your journey to becoming a confident, skilled Python developer! Who this course is for: Absolute Beginners in Programming: Individuals with no prior programming experience looking to make their first foray into the world of coding and software development. Professionals Seeking Career Transition: Those in non-technical fields aspiring to switch careers to tech, particularly in areas like web development, data analysis, automation, and AI. Hobbyists and Tech Enthusiasts: Individuals passionate about technology, eager to explore the capabilities of Python in automating tasks, analyzing data, or building their own projects and tools. Software Developers with Experience in Other Languages: Developers interested in diversifying their skill set by learning Python, given its wide applicability in web development, scripting, data science, and AI. Entrepreneurs and Small Business Owners: Seeking to understand how Python and web development can solve problems, automate operations, or serve as the foundation for a tech startup. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  22. Free Download [OFFER] PySpark - Build DataFrames with Python, Apache Spark and SQL Last updated 2/2021 Duration: 5h 57m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 2.1 GB Genre: eLearning | Language: English Build an amazing DataFrames with Python, Apache Spark, and SQL What you'll learn Create big data streaming pipelines with Spark using Python Learn how to apply Spark on distributed Dataframes Use Python with Big Data on a distributed framework (Apache Spark) Requirements No necessary experience needed Description This course covers all the fundamentals about Apache Spark streaming with Python and teaches you everything you need to know about developing Spark streaming applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Spark streaming and general big data manipulation skills to help your company to adapt Spark Streaming for building big data processing pipelines and data analytics applications. This course will be absolutely critical to anyone trying to make it in data science today. Spark can perform up to 100x faster than Hadoop MapReduce , which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market! This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we've done that we'll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way, you'll have exercises and Mock Consulting Projects that put you right into a real-world situation where you need to use your new skills to solve a real problem! We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees! After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30-day money-back guarantee and comes with a LinkedIn Certificate of Completion! If you're ready to jump into the world of Python, Spark, and Big Data, this is the course for you! Who this course is for Someone who knows Python and would like to learn how to use it for Big Data Someone who is very familiar with another programming language and needs to learn Spark Developers transferring from other languages Python Developers looking to get better at Data Streaming Spark Developers eager to expand their skills. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  23. Free Download [OFFER] Mastering LangChain with Python From Basics to Advanced Last updated 2/2024 Duration: 4h 22m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 3.95 GB Genre: eLearning | Language: English Implement LangChain in Python applications effectively What you'll learn Understand the fundamentals and advanced features of LangChain Implement LangChain in Python applications effectively. Build, deploy, and scale real-world AI applications using LangChain Navigate the ethical and security considerations in deploying AI applications Requirements Basic understanding of Python programming Familiarity with AI and machine learning concepts Basic knowledge of data structures and algorithms Description Embark on a transformative journey into the cutting-edge domain of language models and Python-based chain tools with our expansive and immersive course. This curriculum is thoughtfully designed to unlock the full potential of LangChain, enabling learners to craft, deploy, and amplify the reach of applications powered by artificial intelligence. Catering to both AI novices and individuals keen on elevating their data engineering capabilities, our course stands as a beacon of hands-on learning, offering a rich tapestry of interactive tutorials, projects steeped in real-world applicability, and profound insights aimed at fostering a deep-rooted proficiency in LangChain technology. Dive deep into the essence of AI and machine learning, navigating the complexities of Python programming tailored explicitly for the manipulation and deployment of sophisticated language models. From the foundational pillars of LangChain to the nuanced art of engineering scalable AI solutions, this course unfolds as a meticulously crafted educational journey, poised to equip learners with critical skills and comprehensive knowledge. As participants progress, they will be introduced to the intricate workings of language processing tools, exploring the synergy between Python's versatility and LangChain's robust framework. Engage with meticulously crafted modules that guide you through the nuances of developing AI-driven applications, emphasizing practical implementation and theoretical understanding. The course encapsulates a holistic learning experience, ensuring learners not only grasp the theoretical underpinnings of LangChain technology but also apply this knowledge through tangible projects, thereby bridging the gap between conceptual learning and real-world application. By the culmination of this course, learners will have navigated through an extensive array of topics, from the initial setup and configuration of LangChain environments to advanced topics such as natural language processing, data analysis, and the ethical considerations of AI deployment. This journey promises to transform beginners into adept practitioners capable of leveraging LangChain to address complex challenges, innovate within their respective fields, and contribute to the evolution of AI and data engineering. Step into a world where technology meets creativity, and emerge as a visionary ready to shape the future of artificial intelligence. Who this course is for Data Scientists and AI Enthusiasts Software Developers interested in AI and Machine Learning Students and Academics in Computer Science Data Engineers looking to specialize in AI implementations Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  24. Free Download [OFFER] Investigative Data Analytics Python vs. R Published 3/2024 Created by Penny Li, CPA Illinois MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 34m ) | Size: 1.91 GB [center] Comparatively learn investigative data analytics in Python and R What you'll learn: Use Pivot Table in Python and R to manipulate data Use Benford's Law to detect anomalies in Python and R Use Heatmap in Python and R to identify correlations between data columns Cluster datasets into subgroups using Kmeans in Python and R Use Image to Text to extract text data from images using Python and R Use Histogram and Word Cloud in Python and R to analyze text data Use machine learning decision trees to identify fraudulent data points in Python Use Plotly in Python to show interactive data structures Requirements: No programming experience needed. All you need to do is follow along. Description: This immersive course delves into Python and R for investigative data analytics, spotlighting techniques such as heatmap generation, clustering algorithms, decision tree analysis, and text analytics. By comparing Python's seaborn and matplotlib with R's ggplot2, students will learn to craft detailed heatmaps and unveiling intricate data patterns. Clustering sessions will demonstrate segmenting techniques using Python's scikit-learn and R's cluster packages, applying K-means to dissect data into significant clusters for insightful analysis in areas such as market research and customer segmentation.In the decision tree segment, the course contrasts Python's scikit-learn with R's party package, teaching how to build models that illuminate the path from data to decisions. The exploration extends into text analytics, employing Python's plotly express for dynamic visualizations and both languages' capabilities to create expressive word clouds, enabling students to mine and interpret textual data for trend spotting.Tailored for both budding and seasoned data analysts and researchers, this course interweaves theoretical concepts with substantial hands-on practice. Learners will emerge with a profound understanding of which programming language, Python or R, best fits various data analytics challenges. By fostering a practical learning environment, the course underscores real-world applications, ensuring participants gain the proficiency needed to navigate the complexities of data analytics confidently. This dynamic curriculum is poised to enhance analytical skills, preparing learners for the demands of data-driven decision-making in their professional and academic careers. Who this course is for: Data analysts who want to develop investigation specific skills. Homepage [Hidden Content] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
  25. Free Download [OFFER] Browser Automation with Python Selenium Last updated 7/2022 Duration: 55m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 567 MB Genre: eLearning | Language: English Automate your Web Browser and any Web App What you'll learn Automate your Web Browser Automate any Web App or Web Site Requirements Basic Python knowledge required Description Learn how to automate a web browser with Python. You'll be able to make programs that use any web app or web site. In this course you'll learn how to control the web browser complete from code! That including clicking buttons, typing in text fields, clicking links and all the other things you can do with a web browser. All example programs are included so you can try them out yourself. Who this course is for Python developers that want to automate the web Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable
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