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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

MY MAIN AND ALL OTHER GOOGLE ACCOUNTS ARE BLOCKED AND MY MATERIALS ARE DELETED. PLEASE DON'T GIVE REACTION FOR LINKS. Link:

I know we already have this course here , but it does not have the updated(latest contents), please can someone help upload the latest course? Thanks all!

hi guys I am sharing this course using torrent please take it and seed I am using this course since I got in a DevOps Position in my current job and it has helped a lot, highly recommended, in fact next week I am going to take AZ-400 and some months later AWS DevOps as well just copy and paste the link in uTorrent for example [Hidden Content] enjoy

Free Download [OFFER] Python in Excel Working with pandas DataFrames Released 4/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 47m | Size: 255 MB Python and Excel are both some of the most popular "programming languages", especially for data analytics/data science. Combined, they are even more powerful. In this course, author and Excel expert Felix Zumstein explains how to work with pandas DataFrames in Excel. pandas DataFrames are the backbone of every Python-based data analysis in Excel. Get a thorough introduction to DataFrames. Learn how to turn different sources-such as an Excel range, an Excel table, or a Power Query-into a DataFrame. Find out why and when it makes sense to use a DataFrame, as opposed to native Excel features like Power Query, Pivot Tables, or VLOOKUP formulas. Use a practical dataset to explore the basics of working with DataFrames, including an index, headers, filtering data, dropping duplicates, adding a new column, combining two DataFrames, and re-indexing. Plus, take a quick look at time series and visualizations. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] Python for Marketing (2024) Released: 04/2024 Duration: 1h 45m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 256 MB Level: Intermediate | Genre: eLearning | Language: English Take your marketing analytics to the next level with Python. The features that make Python so useful for data scientists are the same ones that marketers can use to better understand their customers, product performance, competition, and marketplace. In this course from Madecraft, learn how to use Python to improve marketing outcomes for your business. Discover how to import and clean data from various sources, merge data sets, create detailed visualizations, analyze time series data, build custom metrics, and automate key tasks to streamline marketing activities. Along the way, get tips on combining these techniques to conduct market analysis, predict consumer behavior, assess the competition, monitor market trends, and more. This course was created by Madecraft. We are pleased to host this training in our library. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] Python Data Structures Linked Lists (2024) Released: 04/2024 Duration: 1h 2m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 129 MB Level: Intermediate | Genre: eLearning | Language: English In this course, get an introduction to linked lists, a popular and useful dynamic Python data structure. Instructor Ryan Mitchell covers various types of linked lists, and gives you the opportunity to practice your skills with CoderPad challenges in each chapter. Ryan starts with the basics-how Python lists are stored, the advantages and disadvantages, and how linked lists solve some of these problems. She shows you practical applications of linked lists, and how to build a linked list in Python. Then, find out how to build functionality like searching and sorting a linked list. Ryan then shows you how you can make circular linked lists, doubly-linked lists, and even orthogonal linked lists. This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] Basic Python Programming (2024) Published 4/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 956.84 MB | Duration: 0h 52m Learn Python Fundamentals from Scratch and Start Your Coding Journey Today What you'll learn Gain a solid understanding of the fundamentals of Python programming language, including variables, data types, operators, and control structures. Acquire practical skills in writing Python code to perform various operations, manipulate data, and control program flow using control structures. Develop the ability to apply Python programming concepts to solve real-world problems efficiently. Establish a strong foundation in Python programming that serves as a springboard for further exploration of advanced topics in Python and related fields Requirements There are no specific prerequisites for taking this course. It is designed to cater to learners of all backgrounds, including beginners with no prior programming experience. Whether you're a complete novice or have some familiarity with programming concepts, you'll find the course accessible and informative. To make the learning experience as seamless as possible, all you need is a computer with internet access. The course will provide step-by-step guidance and hands-on exercises to help you grasp the fundamentals of Python programming from scratch. Additionally, having a curious mindset and a willingness to learn are the only prerequisites for embarking on this exciting journey into the world of Python programming. By the end of the course, you'll have gained the knowledge and confidence to write your own Python programs and embark on further exploration of advanced topics in Python and related fields. So, if you're ready to dive into the world of programming, this course is the perfect place to start! Description Welcome to MindWise's Introduction to Python Programming course!Python stands out as one of the most widely used and adaptable programming languages worldwide, renowned for its intuitive syntax, readability, and extensive applicability across various domains. Whether you're taking your first steps into the world of programming or aiming to broaden your technical expertise, this meticulously crafted course is tailored to equip you with a solid foundation in Python programming.Over the duration of this course, you will immerse yourself in the fundamental principles of the Python programming language. Each concept will be explained in a clear and concise manner, complemented by engaging hands-on examples and exercises designed to reinforce your understanding and proficiency in Python.Whether your career aspirations encompass web development, data science, or software engineering, mastering Python serves as a gateway to a wealth of professional opportunities and innovation. Join us on this journey as we navigate the dynamic landscape of Python programming together, unlocking the limitless possibilities it presents.Embark on this transformative learning experience with MindWise and harness the power of Python to propel your career and ambitions to new heights. Let's embark on this exciting journey together and unleash the full potential of Python programming! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Getting Started with Python Lecture 3 Variables and Data Types Lecture 4 Python Operators Lecture 5 Control Structures Anyone Curious about Python: Anyone curious about Python and its applications in various domains such as web development, data analysis, artificial intelligence, and more.,Tech Enthusiasts: Hobbyists or enthusiasts who want to explore the world of programming and build their own projects using Python.,Career Changers: Individuals looking to transition into a career in technology or software development and want to acquire essential programming skills.,Students: High school or college students interested in computer science, software development, data science, or any field where Python is used.,Business Professionals: Managers, analysts, and professionals from non-technical backgrounds who need to understand Python for data analysis, automation, or collaboration with technical teams.,Beginners: Individuals who are new to programming and want to start their journey with a beginner-friendly language like Python. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] Python in Excel for Financial Professionals Released 4/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 48m | Size: 101 MB Now that Microsoft announced the integration of Python within Excel, finance professionals need to learn how to leverage this integration for data analytics, automation, and ways to improve their work. In this course, finance analytics manager Christian Martinez guides you through ways to use data analytics to enhance your analytical and modeling abilities. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] Debugging in Python Released 4/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + vtt | Duration: 2h 2m | Size: 303 MB This course will teach you techniques and tools for identifying and understand errors in your Python code In this course, Debugging in Python, you'll learn to debug Python applications to identify and understand errors in the code. First, you'll explore pdb, the Python command line debugger and other tools to help the debug process. Next, you'll discover how to use the Python extension for Visual Studio Code to debug Python and even debug remote applications and Docker containers. Finally, you'll learn how to use the capabilities of the PyCharm debugger to remove errors. When you're finished with this course, you'll have the skills and knowledge of Python debugging needed to remove and eliminate errors and bugs for a better user experience. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] Python for Data Analysts Students and Professionals Published 4/2024 Created by Taesun Yoo MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 114 Lectures ( 11h 54m ) | Size: 6.71 GB Most Honest Crash Course to Become a Data Analyst using Python by Solving Real-World Data Problems What you'll learn: Installing Python and necessary libraries for a seamless coding environment setup. Mastering data type conversion and formatting techniques for consistent data representation. Utilizing Pandas functions for efficient data manipulation tasks. Implementing various types of join operations to merge datasets effectively. Aggregating data and engineering new features for insightful analysis. Handling date and time data effectively using Python libraries. Creating customizable visualizations with libraries like Matplotlib and Seaborn for effective data communication. Completing a capstone project: E-commerce data using concepts and skills learned from this course to create effective visualizations and communicate findings. Requirements: Operating Systems: 64-bit versions of Microsoft Windows 7, 8.1 and 10 or Mac Installation of Python and necessary libraries using Anaconda No prior experience in Python but highly desirable to know some basic analytics with Excel Description: Interested in becoming a Data Analyst? Want to gain practical skills and solve real-world business problems? Then this is the perfect course for you! This course is created by a Senior Data Analyst with 10 years of experience in Insurance and Health Care sectors. It will equip you with foundational knowledge and help you learn key concepts of loading data, data manipulation, data aggregation, and how to use libraries/packages in a simple manner.I will guide you step-by-step into the World of Data Analysis. With every lecture and lab exercise, you will gain and develop an understanding of these concepts to tackle real data problems! This course primarily uses Python to solve labs and capstone project(s).This course will be super useful and exciting. I've designed the course curriculum in the most natural, logical flow:· Module 0 - Intro to Python: set up the Python environment and understand the basics of Python packages/libraries· Module 1 - Load and Write Data: learn how to load and write data from flat files (e.g., .csv or Excel format)· Module 2 - Data Types and Formatting: master the data types and learn how to convert data types for proper operations· Module 3 - Data Manipulation: clean and preprocess data, perform sorting, ordering, and subsetting records· Module 4 - Join Operations: learn how to perform joins using Python packages (e.g., pandas and SQL)· Module 5 - Data Aggregation: learn how to aggregate data using summary statistics and perform feature engineering· Module 6 - Time Intelligence: learn how to calculate business days and perform time dimension analysis· Module 7 - Data Visualization: learn the basics of exploratory data analysis (EDA) and uni-variate/bi-variate visualizationsEach module contains independent content. Technically, you can take the course from start to end or jump into any specific topics of interest. However, I highly recommend students to take the course from Module 1 to 7 in order to complete the capstone project challenge!This course is packed with real-world data/business problems that I solved during my career as a senior data analyst. You will learn not just concepts but also gain practical, hands-on experience from the course. Enroll today and take the first step towards mastering the art of data analysis using Python. Who this course is for: This course is designed for individuals with no prior experience in tools (e.g., R or Python). For new graduates considering a data analytics career For career switchers aiming to become data analysts or upgrade their skills beyond Excel spreadsheets. Homepage [Hidden Content] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] Mastering Python Logging And Loguru Complete Guide Published 4/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.49 GB | Duration: 3h 53m Unleash the Power of Efficient Logging: Boost Your Python Development Skills with Best Practices and Loguru What you'll learn Understand the fundamentals of logging in Python and why it's crucial for software development. The significance of logging in software development Configuring Python's built-in logging module for various use cases Advanced logging techniques, including custom handlers and filters Introduction and setup of Loguru for simplified logging Comparing Python's logging module with Loguru for different scenarios Best practices for log message formatting and file management Real-world logging strategies for application monitoring and debugging Implementing logging in multi-threaded environments Integrating logging with application performance and error monitoring tools Structuring loggers in large projects for clarity and maintainability Requirements Basic Knowledge of Python: Familiarity with Python syntax and fundamental programming concepts such as variables, loops, and functions. Access to a Computer: A computer that can run Python and text editing software, for practicing course exercises and projects. Description "Mastering Logging in Python with Built-in Modules and Loguru" is a specialized course designed for developers aiming to enhance their Python applications through effective logging strategies. By delving into both Python's built-in logging module and the Loguru library, students will learn how to implement sophisticated logging mechanisms that can significantly improve application debugging, monitoring, and maintenance. What Students Will Learn:The fundamentals of logging in Python and its importance in software development.How to configure and utilize Python's logging module across different scenarios and applications.Comparing Python's logging module with Loguru for different scenariosTechniques for formatting log messages to ensure they are informative and actionable.Best practices for log message formatting and file managementStrategies for log file management, including rotation and retention policies.Best practices for integrating logging into Python applications, ensuring they are robust and easier to maintain.Why You Need This Course:Logging is an essential aspect of software development, offering insights into the behavior of applications and aiding in the quick identification of errors and performance bottlenecks. Through this course, you'll:Gain a deep understanding of how to leverage logging to debug and monitor Python applications effectively.Learn to configure logging for various complexity levels, from basic scripts to large-scale applications.Enhance your ability to maintain and improve the quality of software, making your applications more reliable and user-friendly.Become proficient in using logging as a proactive tool for performance optimization and error prevention.Who Is This Course For:Intermediate Python developers looking to deepen their debugging and application monitoring skills.Software engineers and web developers seeking to implement advanced logging strategies in their projects.Data scientists and analysts requiring logging to better manage and understand their data processing workflows.DevOps professionals interested in leveraging logs for improved application deployment and management.Technical team leads and managers aiming to standardize logging practices within their teams.This course is tailor-made for anyone passionate about software development and committed to learning the intricacies of Python logging. Whether you're looking to solve complex debugging challenges or simply improve the quality and reliability of your applications, "Mastering Python Logging and Loguru: Complete Guide" provides the knowledge and hands-on experience you need to succeed.Idan Chen Overview Section 1: Introduction to Logging in Python Lecture 1 Importance of Logging Lecture 2 Overview of Python Logging & Introduction to Loguru Lecture 3 Understanding Log Levels Section 2: Getting Started with Python Lecture 4 Installing Python 3 on your computer Lecture 5 Creating virtual environment (VENV) Lecture 6 How to Install Python 3 and Use Virtual Environments (venv) on Windows- Article Lecture 7 How to Install Python 3 and Use Virtual Environments (venv) on linux- Article Lecture 8 How to Install Python 3 and Use Virtual Environments (venv) on Mac- Article Lecture 9 Installing Pycharm - Article Section 3: Python Programming Foundations Lecture 10 Functions in Python: Definition and Usage Lecture 11 Modules and Packages: Organizing Code Lecture 12 Understanding Python Classes and Objects Section 4: Python's Built-in Logging Module - Detailed Lecture 13 Setting Up Basic Logging Lecture 14 Deep Dive: Log Levels and Handlers Lecture 15 Formatting Logs for Better Readability Lecture 16 Using Filters and Custom Handlers Lecture 17 Structuring Loggers in a Project Lecture 18 Logging in Multithreaded Applications Lecture 19 Handling Exceptions and Stack Trace Section 5: Advanced Logging with Loguru Lecture 20 Easy Logging Setup with Loguru Lecture 21 Configurations and Customization Lecture 22 Exception Handling and Stack Traces with Loguru Lecture 23 Serialization and File Management Lecture 24 Comparing Loguru and Python's Logging (including Asynchronous with loguru) Section 6: Real-world Applications and Best Practices Lecture 25 working with yaml files as configuration - Article Lecture 26 Building Configuration Class for easy logging and loguru configuration Lecture 27 Creating logging class from scratch Lecture 28 Creating loguru class from scratch Lecture 29 Introduction to FastAPI with Python - Article Lecture 30 loguru in Web Applications Lecture 31 Logging in Scripting and Automation using requests Lecture 32 Prometheus Introduction - Article Lecture 33 Integrating Logging with Monitoring Tools using prometheus_client Section 7: Course Conclusion Lecture 34 Course Recap and Next Steps Intermediate Python Developers: Those who have a grasp of Python basics and wish to deepen their understanding of application diagnostics, debugging, and monitoring.,Software Engineers: Professionals looking to improve their ability to troubleshoot, monitor, and maintain Python applications effectively.,Data Scientists and Analysts: Individuals in data-centric roles seeking to implement logging for better data processing and analysis workflow management.,DevOps Engineers: Those who are involved in the deployment and management of Python applications and want to enhance application observability and operational intelligence.,Web Developers: Python web developers looking to integrate robust logging mechanisms into their web applications for enhanced error tracking and performance monitoring.,Students and Lifelong Learners: Anyone interested in software development practices, keen on learning a critical aspect of software maintenance and quality assurance.,Technical Team Leads and Managers: Leaders who want to understand the intricacies of logging to oversee and improve the development and maintenance processes within their teams. 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Free Download [OFFER] Learn Python Properly-Build A 2D Game (TeensYoung Learners) Published 4/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.03 GB | Duration: 6h 21m Level 1 • A Python course designed specifically for teenagers and young learners (Parents/guardians must enrol) What you'll learn Learn how to communicate with a computer using a Python program Learn Python coding fundamentals including loops, conditional statements, and defining functions Learn how to plan, design, and write Python programs Learn how to deal with errors and bugs in your code Requirements No programming experience is needed Description This course introduces the basics of Python coding using hands-on projects designed specifically for a younger audience by leading Python educator Stephen Gruppetta. This course follows the Codetoday Unlimited curriculum. You can enrol your children and teenagers on this course.All key topics are introduced using engaging projects with visual elements. The projects encourage students to be creative by programming animations and games.The course focuses on ensuring students understand why things happen the way they do in programming and not just learning how to write commands.I've been teaching Python programming to children and teenagers for a decade and thousands of parents have already entrusted me with their children's learning.The first sections of this course focus on teaching the fundamentals of coding in Python, ensuring the key concepts are understood well. The final section brings all the topics together in the final project: building a 2D graphics-based game using Python's `turtle` module.Key topics introduced in this course include:variables`for` loops and `while` loopsdefining functions using `def`control flow using conditional statementsplanning a computer programdealing with errors and bugsthe basics of game designother coding best practicesThis course is perfectly-suited to give a solid foundation to your children and teenagers who are keen to learn coding properly.This is Level 1 in the Codetoday Unlimited curriculum, the most extensive curriculum you'll find for children and teenagers. I believe in providing young learners a platform to go beyond the basics. Following this course, your sons and daughters can proceed to the the rest of the core Codetoday Unlimited curriculum, which includes Levels 1 - 5, and then extend their knowledge further with my Intermediate and Advanced Level courses. Overview Section 1: How To Tell The Computer What To Do Lecture 1 Welcome - What's in This Course? Lecture 2 So, What's Coding, Really? Lecture 3 Getting Started • When a Python Meets a Turtle Lecture 4 Using a Split Screen When Learning Lecture 5 Smiley Face Lecture 6 Smiley Face Again Lecture 7 Exercises Lecture 8 Swirls and Patterns • Don't Repeat Yourself • `for` Loop Lecture 9 Swirls and Patterns Again Lecture 10 Have You Created Interesting Patterns? Lecture 11 Exercises Lecture 12 A Flower in the Garden • More on `for` Loops Lecture 13 A Flower in the Garden Again Lecture 14 Exercises Lecture 15 Random Thoughts Lecture 16 Exercises Lecture 17 Moving the Turtle Lecture 18 A Starry Night Lecture 19 Writing The Code For A Starry Night Lecture 20 Finishing Touches For A Starry Night Lecture 21 Exercises Section 2: Extra: More on Section 1, Without the Turtles Lecture 22 What's Extra 1? Can I Skip This? Lecture 23 How the Program Talks to The Program's User And How the User Talks Back Lecture 24 Storing Things in Boxes • Variables Lecture 25 Revisiting `for` loops Lecture 26 Revisiting `random` Section 3: More Looping and Creating Your Own Python Words Lecture 27 Moving to A Better Coding Platform Lecture 28 Option 1 • Move to Replit (simpler) Lecture 29 Option 2 • Move to PyCharm (preferred) Lecture 30 You Can Split Your Screen to Follow Lessons Lecture 31 Looping The Loop Again • `while` Loops Lecture 32 Fred and Mary Lecture 33 Exercises Lecture 34 Invent Your Own Python Words Lecture 35 It's Your Turn To Tell Fred Where To Go • Part 1 Lecture 36 It's Your Turn To Tell Fred Where To Go • Part 2 Lecture 37[Optional] A Drawing Program • Part 1 Lecture 38[Optional] A Drawing Program • Part 2 Lecture 39 Exercises Lecture 40 The Spinning Space Station Lecture 41 The Spinning Space Station • Working Through The Code Lecture 42 Exercises Section 4: Extra: More on Section 3, Without the Turtles Lecture 43 The `while` Loop Revisited Lecture 44 Comparing The `while` and `for` loops Lecture 45 Defining Functions Revisited Section 5: The Hungry Turtle • A Python Game Lecture 46 Here's The Hungry Turtle Game Lecture 47 Planning the Game Lecture 48 Create a Player Lecture 49 Move and Steer the Player Lecture 50 Teleport Lecture 51 Equals Equals Lecture 52 Making Decisions • The `if` Statement Lecture 53 Back to Teleporting Lecture 54 Finishing the Teleporting Feature Lecture 55 Create Food for the Hungry Turtle Lecture 56 Turtle Eats Food Lecture 57 Keeping a Score Lecture 58 Finishing Touches Lecture 59 Exercises Section 6: Extra: Adding a Timer to The Hungry Turtle Game Lecture 60 Introduce the `time` module Lecture 61 Timers Lecture 62 Add A Timer to The Hungry Turtle Game Lecture 63 Exercises This course is designed for teenagers and younger learners who are new to Python,This course is suitable for those who have never done any coding and those who have some experience with basic programming Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] A Non-Programmer's Guide to Python for Analytics Published 4/2024 Created by Ganeshraj Shetty MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 40 Lectures ( 10h 19m ) | Size: 5.91 GB Unlocking Insights with Python: A Step-by-Step Guide for Non-Programmers What you'll learn: Students will master the fundamentals of Python programming language, covering topics such as syntax, variables, data types, and control structures. Learners will understand essential data structures in Python, including lists, tuples, dictionaries, and sets, and learn how to manipulate and iterate over them Participants will explore how to define and use functions to modularize code and increase reusability, as well as how to import and work with modules in Python. Students will learn how to read from and write to files in Python, enabling them to interact with external data sources and store program output. Learners will grasp the concept of exception handling in Python and learn how to use try-except blocks to handle errors gracefully & maintain program stability. A project through which students will apply their Python programming skills to solve real-world problems and reinforce their learning. Requirements: As it is a beginners course there are no prerequisites. Description: Demystifying Data: Unlocking Insights with Python" is a comprehensive course designed for non-programmers eager to harness the power of Python for data analytics. In today's data-driven world, understanding how to manipulate and derive insights from data is essential for success across various fields. This course serves as an accessible entry point, breaking down complex programming concepts into manageable steps.Participants will embark on a journey through Python, starting from the basics and gradually advancing to more sophisticated techniques. With a focus on practical application, learners will explore how to collect, clean and analyze data using Python programming concepts taught in the course.Guided by experienced instructor, students will gain hands-on experience through interactive exercises and real-world examples, solidifying their understanding of key concepts without requiring prior programming experience.By the end of the course, participants will have developed a foundational understanding of Python programming for data analytics, empowering them to confidently tackle data-related challenges and make informed decisions in their respective domains. Join us on this journey and unlock the potential of data with Python!Unlocking Insights with Python" is a comprehensive, time-efficient course designed for non-programmers, offering a streamlined path to mastering Python for data analytics.Enroll today to make the right start to the field of Data Analytics and Machine Learning.! :) Who this course is for: Non-Programmers: This course is tailored specifically for individuals with little to no programming experience who are eager to delve into data analytics. Professionals in Various Fields: Intended for professionals from diverse backgrounds such as business, healthcare, finance, marketing, and more. Researchers and Academics: Ideal for researchers and academics looking to enhance their data analysis skills. Students and Graduates: Suitable for students and recent graduates interested in gaining a competitive edge in the job market. Lifelong Learners: Perfect for individuals with a passion for continuous learning and a desire to stay relevant in today's data-driven world. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] A Turtle Tale • Learn Python In A Visual Way Published 4/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.96 GB | Duration: 10h 26m A Python beginners' course with a difference. It's entirely visual. What you'll learn Understand the fundamentals of writing a Python computer program Understand the mindset needed for communicating with a computer through a program Learn key foundational topics, including loops, defining functions, conditional statements Gain confidence to write programs independently Requirements No prior knowledge of programming is required. Description This course introduces the fundamentals of programming through graphics-based projects using Python's built-in `turtle` module. This is a fun way of learning the basics and you'll also be able to apply your newly-acquired knowledge to other non-graphics programs.A Turtle Tale starts from the basics and introduces all the key topics that are central to programming and Python. All the projects are graphics-based, including creating animations and some games, too. However, the key Python topics you'll learn are universal.I've been teaching Python for a decade and I believe in clear communication and in making sure students understand why things happen the way they do, and not just how to get things done. My teaching style is different. Try out the first few lessons and if it's your style, then we'll be together for a many hours.No prior experience of Python or coding is required. This is a beginner's course.Or perhaps you're not a beginner, but you've done a bit of coding in the past but didn't carry on. It wasn't you, it's likely you didn't find the resources that speak directly to you. I can't promise my style is what you're looking for, but you'll know after the first few lessons!In this course you'll learn:How to apply the key principles and mindset for communicating with a computer through programmingHow to repeat blocks of code using `for` loops and `while` loopsHow to store data using variables and using various data typesHow to define your own functions to re-use codeHow to use data structures including lists, dictionaries, and tuplesHow to apply best practices when codingThis course will teach you all the fundamental tools, of course, but more importantly, it will teach you the right mindset for programming. This is just as important as learning all the programming techniques-if not more important. Overview Section 1: The Story of Fred and Mary • Programming Basics Lecture 1 Welcome to the coding • What's different in this course? Lecture 2 About a Turtle Tale Lecture 3 Installing Python and Other Tools Lecture 4 First Words and `turtle` Lecture 5 Finding Out What A Turtle Can Do Lecture 6 Different Types of Objects in a Python Program Lecture 7 Introducing Fred and Mary Lecture 8 Fred and Mary Go On and On • `while` Loop Lecture 9 Where's Fred? • Using `print()` Lecture 10 Asking The Program To Make a Decision • `if` statements Lecture 11 Different Types of Objects (Again) • Data Types Lecture 12 Equals Equals Is Not The Same As Equals Lecture 13 Stopping Fred and Mary • Stopping The `while` Loop Lecture 14 Stopping When Mary Reaches The End Too Lecture 15 Your First Bug Lecture 16 Squashing Your First Bug Lecture 17 Reviewing Fred and Mary Lecture 18 Extra: Other ways of stopping the `while` loop Lecture 19 Extra: Changing The Font in `fred.write()` Lecture 20 Exercises Section 2: Animating Python • Lists and More Loops Lecture 21 The Tale So Far Lecture 22 The Starry Night Lecture 23 Creating One Star Lecture 24 Creating Many Stars • The `for` Loop Lecture 25 More Objects • The Screen Lecture 26 Controlling When Things Are Displayed On The Screen Lecture 27 Finishing The Starry Night Lecture 28 Meet Monty (Introduction to the central analogy in A Turtle Tale) Lecture 29 Monty And Modules Lecture 30 When You Have A List Of Things To Store • Python's Lists Lecture 31 Many Angry Turtles Screensaver • Getting Started Lecture 32 Many Angry Turtles Screensaver • Setting Up Many Turtles Lecture 33 Many Angry Turtles Screensaver • Looping Through A List Lecture 34 Many Angry Turtles Screensaver • Finishing Touches Lecture 35 More On Lists • Indexing and Slicing Lecture 36 More On Lists • List Methods Lecture 37 Exercises Section 3: Bouncing Ball and Bouncing Balls Lecture 38 The Bouncing Tennis Ball Lecture 39 Another Way of Moving A Turtle Lecture 40 Dropping The Ball And Gravity Lecture 41 Bouncing Off The Ground Lecture 42 Losing A Bit Of Energy Each Time The Ball Bounces Lecture 43 Fixing The Disappearing Ball Bug Lecture 44 A Side Note: f-strings Lecture 45 Tossing The Ball Sideways (And Some Refactoring) Lecture 46 Dealing With The Walls Lecture 47 From One Ball To Many Balls Lecture 48[Advanced Topic] Giving Each Ball Its Own Velocity Section 4: The Bubble Chase Game • Defining Functions Lecture 49 Introducing Functions and The Bubble Chase Game Lecture 50 You've Used Many Functions Already Lecture 51 Let's Start Lecture 52 Planning the Game and Moving The Player Forward Lecture 53 Defining A Function Lecture 54 Binding A Function To A Key On The Keyboard Lecture 55 Parentheses Lecture 56 Teleporting The Player Lecture 57 Teleporting The Player Using A Function Lecture 58 Running The Program in Slow Motion Lecture 59 Creating A Bubble Lecture 60 Bursting The Bubbles Lecture 61 Adding A Timer Lecture 62 Stopping The Game Lecture 63 Controlling When The Game Starts Lecture 64 Running The Game Three Times In A Row Lecture 65 Local Variables In Functions Lecture 66 Finishing The Game, Finally! Lecture 67 Exercises Section 5: Extra Section: Many Moving Bubbles in The Bubble Chase Game Lecture 68 Let's Discuss The Updates To The Game Lecture 69 Many Bubbles Lecture 70 Many Moving Bubbles Section 6: The Marching Turtles • More Data Structures • Dictionaries Lecture 71 A Quick Introduction To This Chapter Lecture 72 Some Data Type Categories • Iterables and Sequences Lecture 73 Some Data Type Categories • Mutable and Immutable Lecture 74 Some Other Data Structures • Tuples Lecture 75 Some Other Data Structures • Dictionaries Lecture 76 The Red, Green, And Blue Turtle Groups Lecture 77 Performing An Action When The User Clicks On The Screen Lecture 78 Clicking On A Turtle Lecture 79 Grouping The Groups Lecture 80 Selecting Groups of Turtles Lecture 81 Disabling The Clicks Lecture 82 Moving The Red Group of Turtles Lecture 83 Concluding The Animation Lecture 84 This Tale Ends Here, But There Are Many More To Come Lecture 85 Extra lesson: One Very Last Update To The Marching Turtles Animation Beginners starting to learn to code using Python or those who have tried to learn in the past but gave up! 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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

Free Download [OFFER] Python Mastery A Comprehensive Guide (Intermediate) Published 4/2024 Created by NITISH MAHATO MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 71 Lectures ( 2h 55m ) | Size: 1.23 GB Object-Oriented Programming (OOP), Database Interaction using SQLAlchemy, SOLID and Creational Design pattern. What you'll learn: Object-Oriented Programming (OOP) SOLID and Creational Design Patterns practical database integration using SQLAlchemy mini project - SQLAlchemy, Github Action, Docker Requirements: A Little Bit of Programming Knowledge is Beneficial, But Not Mandatory! Description: This course title encapsulates the breadth of your tutorial, emphasizing the progression to advanced topics like Object-Oriented Programming (OOP), Design Patterns, and practical database integration using SQLAlchemy. It communicates a clear learning path for students interested in mastering Python and its applications in real-world scenarios.The course you've outlined, covering Object-Oriented Concepts, Design Patterns, and Database integration using SQLAlchemy and Git and CICD with mini project, is well-suited for the following audience:Beginner to Intermediate Python Developers:Individuals who have a basic understanding of Python and want to deepen their knowledge by exploring Object-Oriented Programming, Design Patterns, and database integration.Computer Science Students:Students pursuing computer science or related fields can benefit from a comprehensive course that covers foundational Python concepts, OOP principles, design patterns, and practical database integration.Web Developers:Web developers who want to expand their skills by understanding not only Python basics but also how to implement Object-Oriented Design, apply Design Patterns, and integrate databases using SQLAlchemy in web development projects.Career Switchers:Individuals looking to transition into a career in programming or software development who have some basic knowledge but want to build a strong foundation in Python and related concepts.We provide a well-rounded learning experience in the specified Python-related topics. Who this course is for: Individuals who have a basic understanding of Python and want to deepen their knowledge by exploring Object-Oriented Programming, Design Patterns, and database integration. Those who are passionate about programming and eager to learn more advanced concepts beyond the basics. Experienced software engineers who wish to refresh their Python skills and deepen their understanding of key concepts like OOP, Design Patterns, and database integration Individuals looking to transition into a career in programming or software development who have some basic knowledge but want to build a strong foundation in Python and related concepts Those interested in databases and want to explore how Python, particularly with SQLAlchemy, can be utilized for effective database integration. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

can some one please kindly share kb Python For Network & Security Engineers complete course , thanks WARNING MISSING [Offer] / [Req]

Free Download [OFFER] Python Data Analysis for Healthcare Released 4/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 2h 48m | Size: 376 MB The healthcare industry is one of the most diverse sources of data, from clinical to administrative to sales and supply chain, and even regulatory data. This course with data scientist and pharmacist Wuraola Oyewusi teaches you how to use Python for a wide range of data analysis scenarios in healthcare. Wuraola covers practical use cases like statistical data analysis, data manipulation, wrangling, and visualization using Python programming for different scenarios in the healthcare industry. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] Python For Computer Science Gcse Published 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.68 GB | Duration: 5h 39m Python Coding for Computer Science GCSE intended for students, parents and teachers What you'll learn Understanding the Fundamentals of Python Programming Prepare yourself for the Programming section of the Computer Science GCSE Exam Developing problem-solving skills through Coding Teach Coding to Youngsters Requirements No programming experience is assumed for this course. Description Are you ready to dive into the exciting world of Python coding? Looking for a course that will help you prepare for your Computer Science GCSE exams? Whether you're a teenager, a student preparing for your exams, or just someone curious about learning Python programming, this course has got you covered, so get ready to unleash your coding potential with Python!Course Outline:In this Python Coding for Computer Science GCSE course, you'll embark on an exhilarating coding journey that will equip you with the fundamental skills and knowledge of Python programming. The course is divided into several sections, each covering essential topics to help you master Python.The first section serves as a solid foundation, introducing you to the basics of coding in Python. You'll learn about variables, data types, operators, and how to write your first lines of code. As you progress through the course, subsequent sections delve deeper into more advanced concepts like loops, functions, conditional statements, and file handling.One standout feature of this course is its interactive exercises and quizzes after each module. These hands-on activities allow you to apply what you've learned and reinforce your understanding of key concepts. Additionally, there are practical projects where you can showcase your newfound skills by building real-world applications using Python.With carefully crafted video tutorials led by an experienced instructor who breaks down complex ideas into easy-to-understand explanations, learning becomes engaging and enjoyable. The instructor's passion for teaching shines through in every lesson as they guide students step-by-step towards mastery of Python coding.This course is also ideal for teachers who teach Python coding in schools.By the end of this comprehensive Udemy course on Python Coding for Computer Science GCSEs,you'll have a firm grasp on core programming principles while gaining confidence in writing clean and efficient code. So why wait? Enroll today and unlock endless possibilities with the power of Python! Overview Section 1: Hello World Lecture 1 Download and Install Python on Windows Lecture 2 Download and Install Python on Mac Lecture 3 Hello World Program Lecture 4 Customise IDLE Lecture 5 Syntax Lecture 6 Comments Section 2: Variables, Constants and Data Types Lecture 7 Keywords Lecture 8 Variables, Constants and Data Types Lecture 9 Numeric Data Types Lecture 10 Boolean Lecture 11 Strings Lecture 12 Asking the user questions Lecture 13 Example - km to mile distance converter Section 3: Operators Lecture 14 Assignment Operator Lecture 15 Assignment Operator Summary Lecture 16 Arithmetic Operators Lecture 17 Arithmetic Operators Summary Lecture 18 Comparison Operators Lecture 19 Comparison Operators Summary Lecture 20 Logic Operators Lecture 21 Logical Operators Summary Section 4: Random Lecture 22 Random Module Section 5: Decision Making - Selection Lecture 23 Programming Decisions Lecture 24 if Statements Lecture 25 if else Statements Lecture 26 if elif else Statements Lecture 27 Solution - if elif else Temperature Lecture 28 Compound Conditional Statements Lecture 29 Nested Conditions Section 6: Loops Lecture 30 For Loops Lecture 31 Worked Example - Heads or Tails - 10 tosses of a coin Lecture 32 While Loops Lecture 33 break and continue Lecture 34 Worked Example - Roll Dice - Double 6 Lecture 35 Worked Example - Guess the number Section 7: More on Strings Lecture 36 Strings Resvisited Lecture 37 What is Shift Cipher, also known as Caesar Cipher? Lecture 38 Shift Cipher Encryption Decryption Program Section 8: Lists Lecture 39 Introduction to Lists Lecture 40 List Functions Lecture 41 Indexing Lecture 42 len() Function Lecture 43 Iterating a List Lecture 44 Working with 2 dimensional Lists Lecture 45 Worked Example - List Average Lecture 46 Worked Example - List Minimum Value Lecture 47 Worked Example - List Maximum Value Section 9: Modules Lecture 48 Introduction to Modules Lecture 49 Worked Example - Rock Paper Scissors - Without Loop - Quick Review Lecture 50 Worked Example - Rock Paper Scissors - With Loop Section 10: Functions Lecture 51 Functions Lecture 52 Function Example - Multiplication Table Function Lecture 53 Function Example - Dice Section 11: Interpreter and Compiler Lecture 54 High Level Programming Languages Lecture 55 Interpreter and Compiler Section 12: File Handling Lecture 56 File Handling Lecture 57 File Handling 2 Lecture 58 read(), readline() and readlines() Lecture 59 Remove File and Directory Section 13: Errors, Error Handling and Testing Lecture 60 Types of Error Lecture 61 Syntax Error Lecture 62 Runtime Error Lecture 63 Runtime Error - Exception Handling Lecture 64 Runtime Error - NameError Lecture 65 Runtime Error - TypeError Lecture 66 Runtime Error - ZeroDivisionError Lecture 67 Runtime Error - IndexError Lecture 68 Logic Error Lecture 69 Defensive Programming Lecture 70 Input Validation Lecture 71 Verification Lecture 72 Bug, Debugging and Testing Section 14: Recursion, Search and Sort Lecture 73 Recursion Lecture 74 Linear Search Lecture 75 Binary Search Lecture 76 Bubble Sort Whether you're preparing for your GCSE exams or simply want to explore the world of programming, this course provides an engaging and interactive learning experience. You don't need any prior coding knowledge to enroll - just bring your enthusiasm and curiousity! The course takes a hands-on approach, teaching you how to write Python code through fun exercises and projects. From understanding variables and data types to building simple programs, each lesson builds upon the previous one, equipping you with essential coding skills. Don't worry if you've never coded before - the instructor breaks down complex concepts into bite-sized chunks that are easy to understand. You'll be amazed at how quickly you can start writing your own programs! So why not embark on this exciting journey? Enroll in the Python Coding for Computer Science GCSE Udemy course today and discover the wonderful world of coding! Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

Free Download [OFFER] A Python Tale • A Relaxed Programming Course for Beginners Published 3/2024 Created by Stephen Gruppetta MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 90 Lectures ( 8h 41m ) | Size: 8.8 GB The friendly Python programming course where you'll actually understand what's going on What you'll learn: Understand the fundamentals of writing a Python computer program Understand the mindset needed for communicating with a computer through a program Learn key foundational topics, including loops, defining functions, conditional statements, data types and data structures Gain confidence to write programs independently Requirements: No prior knowledge of programming is required. You'll be guided on how to access Python during the course Description: A different way of learning to code in Python. This course takes you through the basics of programming in a teaching style that's friendly and relaxed.The focus is on clarity and really understanding what's going on.I've been teaching Python coding for a decade and I'm the author of The Python Coding Book (just ask Google for a "python book"!)My teaching style is different. Try out the first few lessons and if it's your style, then we'll be together for a many hours.No prior experience of Python or coding is required. This is a beginner's course.Or perhaps you're not a beginner, but you've done a bit of coding in the past but didn't carry on. It wasn't you, it's likely you didn't find the resources that speak directly to you. I can't promise my style is what you're looking for, but you'll know after the first few lessons!This course will teach you all the fundamental tools, of course, but more importantly, it will teach you the right mindset for programming. This is just as important as learning all the programming techniques-if not more important.And you'll also meet Monty, the main character in an analogy I love which I'll share with you in this course-trust me, this analogy alone is worth your time as Python programming will make so much more sense. Who this course is for: Beginners starting to learn to code using Python Students who have tried to learn in the past but gave up! Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [hide] No Password - Links are Interchangeable

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. 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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

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

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