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The Essential Guide To Type Annotations In Python

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Federico Azzurro

1:38:27

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  • 1. About this course.mp4
    01:32
  • 2. Ligatures.mp4
    02:53
  • 3. Python 3.11.html
  • 1. Why use types.mp4
    02:40
  • 2. Basic types.mp4
    06:02
  • 3. Union types.mp4
    03:32
  • 4. Lists.mp4
    05:36
  • 5. Tuples.mp4
    03:54
  • 6. Sets.mp4
    02:11
  • 7. Dictionaries.mp4
    03:59
  • 8. Optionals.mp4
    04:09
  • 9. Classes.mp4
    03:32
  • 10. Return types.mp4
    05:10
  • 11. External types.mp4
    03:13
  • 12.1 basic homework.zip
  • 12. Homework.mp4
    01:24
  • 13. Homework (Solution).mp4
    04:02
  • 1. More types.mp4
    01:15
  • 2. Python 3.8 & earlier.mp4
    02:18
  • 3. Any.mp4
    02:32
  • 4. Final.mp4
    03:25
  • 5. Iterables.mp4
    03:30
  • 6. Sequences.mp4
    03:43
  • 7. Callables.mp4
    08:24
  • 8. Protocols.mp4
    11:17
  • 9.1 homework advanced.zip
  • 9. Homework.mp4
    01:46
  • 10. Homework (Solution).mp4
    04:43
  • 1.1 Mypy (Documentation).html
  • 1. Whats next.mp4
    01:45
  • Description


    The essential guide to type annotations in Python for writing cleaner and more robust code.

    What You'll Learn?


    • How to use Type Annotations
    • The benefits of using Type Annotations
    • How to write clean code with Type Annotations
    • What Type Annotations are

    Who is this for?


  • Developers who already are familiar with how Python works
  • What You Need to Know?


  • Experience with programming in Python
  • An internet connection
  • More details


    Description

    This is the essential guide to Python's type annotations for robust, safe, and clean code; the perfect guide for learning how to make your code safer and more robust through Python's type annotations.


    Who is this course for?

    This course is for anyone that already has experience with Python, but wants to dive deeper into the world of type annotations. While Python does not require us to explicitly define types, they do come with great perks that help us write cleaner and more robust code for no extra cost.


    Why should you pick this course and not the others?

    There are thousands of Python courses on the internet, so why should you pick this one? Well, to put it simply, I believe that I teach programming concepts in a far more effective way than a majority of the courses on the Internet. I make sure to only teach what's essential and needed, so that you don't waste time with code that you will never see or use in your entire career. I'm a self-taught professional and will teach you how you can be the same!


    30 Day Money-Back Guarantee

    At any point of this course you can opt in to get your money back. Whether you feel that this course is not right for you, or changed your mind about learning Data Analysis with Pandas, you can easily request a refund which will be immediately refunded to your account with no questions asked through Udemy!

    Who this course is for:

    • Developers who already are familiar with how Python works

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    Federico Azzurro
    Federico Azzurro
    Instructor's Courses
    Ciao! My name is Federico and I'm a programming instructor.I started teaching programming back in 2019. During this time I’ve taught I wide variety of topics: Android development, iOS development, Web development, JavaScript, Cross-Platform Development with React Native, Machine Learning with Python, Python Core-Concepts, C++, Kotlin, & much, much more!
    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 26
    • duration 1:38:27
    • Release Date 2023/10/14