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Micro Learning | Best Practices for Python Beginners

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CloudMatrix Learning

43:20

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  • 1. Introduction.mp4
    02:20
  • 1. Introduction Write Readable Code.mp4
    01:01
  • 2. Use meaningful variable names.mp4
    00:58
  • 3. Follow PEP 8 Style Guide.mp4
    01:02
  • 4. Example Write Readable Code.html
  • Files.zip
  • 1. Introduction Comment and Document Your Code.mp4
    00:46
  • 2. Use comments to explain why.mp4
    01:01
  • 3. Example Comment and Document Your Code.html
  • Files.zip
  • 1. Introduction Keep It Simple and Concise.mp4
    00:37
  • 2. Avoid complex and nested code.mp4
    00:40
  • 3. Example Keep It Simple and Concise.html
  • Files.zip
  • 1. Introduction Use Built-In Functions and Libraries.mp4
    01:03
  • 2. Utilize Pythons extensive standard library.mp4
    00:55
  • 3. Example Use Built-In Functions and Libraries.html
  • Files.zip
  • 1. Introduction Handle Exceptions Properly.mp4
    00:54
  • 2. Use try-except blocks to handle errors gracefully.mp4
    01:04
  • 3. Example Handle Exceptions Properly.html
  • Files.zip
  • 1. Introduction Write Modular Code.mp4
    01:11
  • 2. Divide your code into functions and modules.mp4
    00:59
  • 3. Example Write Modular Code.html
  • Files.zip
  • 1. Introduction Test Your Code.mp4
    01:19
  • 2. Write tests for your functions and modules.mp4
    00:52
  • 3. Example Test Your Code.html
  • Files.zip
  • 1. Introduction Use Version Control.mp4
    00:52
  • 2. Track your code changes with version control systems like Git.mp4
    00:39
  • 3. Example Use Version Control.html
  • Files.zip
  • 1. Introduction Learn and Use Pythonic Idioms.mp4
    00:47
  • 2. Embrace the Pythonic way of writing code.mp4
    00:53
  • 3. Example Learn and Use Pythonic Idioms.html
  • Files.zip
  • 1. Introduction Additional Best Practices for Python Beginners.mp4
    01:01
  • 1. Introduction Use Virtual Environments.mp4
    01:03
  • 2. Isolate your project dependencies.mp4
    00:48
  • 3. Example Use Virtual Environments.html
  • Files.zip
  • 1. Introduction Follow Naming Conventions.mp4
    01:16
  • 2. Stick to the standard naming conventions.mp4
    00:41
  • 3. Example Follow Naming Conventions.html
  • Files.zip
  • 1. Introduction Optimize Your Code.mp4
    01:01
  • 2. Write efficient code.mp4
    00:50
  • 3. Example Optimize Your Code.html
  • Files.zip
  • 1. Introduction Use List Comprehensions and Generators.mp4
    01:33
  • 2. Make use of list comprehensions and generators.mp4
    01:03
  • 3. Example Use List Comprehensions and Generators.html
  • Files.zip
  • 1. Introduction Keep Your Code DRY (Dont Repeat Yourself).mp4
    00:54
  • 2. Avoid code duplication.mp4
    00:54
  • 3. Example Keep Your Code DRY.html
  • Files.zip
  • 1. Introduction Understand Pythons Data Structures.mp4
    01:11
  • 2. Choose the right data structures.mp4
    01:18
  • 3. Example Understanding Pythons Data Structures.html
  • Files.zip
  • 1. Introduction Use Context Managers.mp4
    00:41
  • 2. Manage resources with context managers.mp4
    00:57
  • 3. Example Use Context Managers.html
  • Files.zip
  • 1. Introduction Be Aware of Mutable Default Arguments.mp4
    01:10
  • 2. Avoid using mutable objects as default arguments.mp4
    00:52
  • 3. Example Be Aware of Mutable Defaults Arguments.html
  • Files.zip
  • 1. Introduction Use Enumerate for Loop Counters.mp4
    00:42
  • 2. Use enumerate to get the index and value in loops.mp4
    00:57
  • 3. Example Use Enumerate for Loop Counters.html
  • Files.zip
  • 1. Introduction Profile and Optimize Your Code.mp4
    00:59
  • 2. Identify bottlenecks using profiling tools.mp4
    00:52
  • 3. Example Profile and Optimize Your Code.html
  • Files.zip
  • 1. Keep learning and stay updated.mp4
    01:03
  • 1. Summary Best Practices for Python Beginners.mp4
    01:41
  • Description


    Mastering Python Fundamentals: Bite-Sized Lessons for Clean, Efficient, and Professional Code

    What You'll Learn?


    • Writing Readable and Pythonic Code
    • Effective Code Organization and Structure
    • Proper Documentation and Commenting
    • Efficient Use of Python's Built-in Features and Libraries
    • Error Handling and Debugging Techniques
    • Code Testing and Quality Assurance
    • Version Control with Git
    • Virtual Environments and Dependency Management
    • Performance Optimization and Profiling
    • Community Engagement and Continuous Learning

    Who is this for?


  • Beginners who have basic Python knowledge and want to improve their coding skills
  • Self-taught programmers looking to adopt professional coding standards
  • Students transitioning from academic to professional Python programming
  • What You Need to Know?


  • Basic understanding of Python syntax and core concepts
  • Familiarity with a Python development environment
  • More details


    Description

    Best Practices for Python Beginners


    Welcome to "Best Practices for Python Beginners"! This comprehensive course is designed to help you build a strong foundation in Python programming by focusing on industry-standard best practices and coding conventions.


    Course Overview: In this course, you'll learn how to write clean, efficient, and maintainable Python code. We'll cover a wide range of topics, from basic coding principles to more advanced concepts, all aimed at helping you develop good coding habits from the start.


    What You'll Learn:


    1. Writing Readable and Pythonic Code

    2. Effective Code Organization and Structure

    3. Proper Documentation and Commenting

    4. Efficient Use of Python's Built-in Features and Libraries

    5. Error Handling and Debugging Techniques

    6. Code Testing and Quality Assurance

    7. Version Control with Git

    8. Virtual Environments and Dependency Management

    9. Performance Optimization and Profiling

    10. Community Engagement and Continuous Learning


    Course Structure: The course is divided into modules, each focusing on specific best practices. You'll start with fundamental concepts and progressively move to more advanced topics. Each module includes:


    • Theoretical explanations

    • Practical examples and code snippets

    • Hands-on exercises

    • Quizzes to test your understanding


    Who This Course Is For: This course is ideal for:


    • Beginners who have basic Python knowledge and want to improve their coding skills

    • Self-taught programmers looking to adopt professional coding standards

    • Students transitioning from academic to professional Python programming


    Prerequisites:


    • Basic understanding of Python syntax and core concepts

    • Familiarity with a Python development environment


    By the end of this course, you'll have the skills and knowledge to write professional-grade Python code, following best practices that will set you apart in the programming world. Let's get started on your journey to becoming a proficient Python programmer!

    Who this course is for:

    • Beginners who have basic Python knowledge and want to improve their coding skills
    • Self-taught programmers looking to adopt professional coding standards
    • Students transitioning from academic to professional Python programming

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    CloudMatrix Learning
    CloudMatrix Learning
    Instructor's Courses
    CloudMatrix Learning. is an innovative information technology company specializing in Learning Services. Based in the Europe, the company was established with the mission to transform how educational content is delivered and consumed by leveraging cutting-edge technologies.The flagship product of CloudMatrix Learning is a dynamic learning management system (LMS) that offers scalable solutions for educational institutions and corporate training programs. This platform integrates seamlessly with existing educational tools and provides real-time analytics that helps educators enhance their teaching methods and improve student engagement.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 43
    • duration 43:20
    • Release Date 2024/08/11