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**AD-TEAM** · 01-25-2025, 05:55 PM

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The Essential Guide To Type Annotations In Python
Published 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 455.70 MB | Duration: 1h 39m

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

[b]What you'll learn[/b]

How to use Type Annotations

The benefits of using Type Annotations

How to write clean code with Type Annotations

What Type Annotations are

[b]Requirements[/b]

Experience with programming in Python

An internet connection

[b]Description[/b]

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 GuaranteeAt 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!

Overview

Section 1: Introduction

Lecture 1 About this course

Lecture 2 Ligatures

Lecture 3 Python 3.11

Section 2: Basic Typing

Lecture 4 Why use types?

Lecture 5 Basic types

Lecture 6 Union types

Lecture 7 Lists

Lecture 8 Tuples

Lecture 9 Sets

Lecture 10 Dictionaries

Lecture 11 Optionals

Lecture 12 Classes

Lecture 13 Return types

Lecture 14 External types

Lecture 15 Homework

Lecture 16 Homework (Solution)

Section 3: Advanced Typing

Lecture 17 More types?

Lecture 18 Python 3.8 & earlier

Lecture 19 Any

Lecture 20 Final

Lecture 21 Iterables

Lecture 22 Sequences

Lecture 23 Callables

Lecture 24 Protocols

Lecture 25 Homework

Lecture 26 Homework (Solution)

Section 4: Conclusion

Lecture 27 What's next?

Developers who already are familiar with how Python works

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