The Essential Guide To Type Annotations In Python

The Essential Guide To Type Annotations In Python - Printable Version

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The Essential Guide To Type Annotations In Python - BaDshaH - 08-24-2023

[Image: c77e6ccbc74b24de485d6c8759609ef8.jpg]

Published 8/2023
Created by Federico Azzurro
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 1h 38m ) | Size: 473 MB

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!

Who this course is for
Developers who already are familiar with how Python works

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