Intermediate Python: Master Decorators From Scratch

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Andy Bek

2:52:37

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1. VERY Short Intro!.mp4

01:09

2.1 python decorators.zip

2. Course Resources.html

3. Introduction to Python Functions.mp4

07:03

4. Skill Challenge Averaging Grades.mp4

00:53

5. Solution.mp4

02:56

6. More On Functions args and kwargs.mp4

14:06

7. Skill Challenge Variadics.mp4

01:20

8. Solution.mp4

02:56

9. Higher-Order Functions.mp4

07:59

10. Skill Challenge Arithmetic HOF.mp4

01:26

11. Solution.mp4

02:25

12. First-Class Functions.mp4

06:12

13. Closures.mp4

07:51

14. Skill Challenge Counter Factory.mp4

02:10

15. Solution.mp4

06:28

16. Basic Introduction To Decorators.mp4

08:21

17. Decorating Parameterized Functions.mp4

05:47

18. Skill Challenge - Lets Log.mp4

01:46

19. Solution.mp4

03:07

20. Skill Challenge - Lotto Draws.mp4

01:04

21. Solution.mp4

03:07

22. Skill Challenge - Writing A Timer.mp4

00:43

23. Solution.mp4

05:26

24. Decorators With Arguments.mp4

08:04

25. Skill Challenge - Repeated Lotto Draws.mp4

01:05

26. Solution.mp4

02:22

27. Chaining Multiple Decorators.mp4

05:32

28. Preserving Identity With @wraps.mp4

09:07

29. Skill Challenge - Delaying Downloads.mp4

03:00

30. Solution.mp4

06:40

31. Skill Challenge - Authentication Workflow Part I.mp4

02:09

32. Solution Part I.mp4

12:45

33. Skill Challenge - Authentication Workflow Part II.mp4

02:06

34. Solution Part II.mp4

11:02

35. Skill Challenge - Building A Cache.mp4

03:00

36. Solution.mp4

11:30

Description

A Comprehensive Introduction to Decorators In Python with Several Practical Applications

What You'll Learn?

Understand what decorators are and how they are used in python functional programming
Write advanced, flexible decorators to handle caching, performance timing, logging, and more
Master the syntax and, more importantly, the core ideas behind decorators
Get ample practice through 12 coding assignments, followed by detailed solutions

Who is this for?

Beginner Python developers interested in stepping up into intermediate and advance topics

What You Need to Know?

Some familiarity with python is preferred, though not strictly required

More details

Description
Welcome to the best and most complete guide to Python decorators!
In this course, you'll cultivate a deep and practical understanding of decorators in Python, starting from the very basics. This beginner-friendly course is meticulously crafted to ensure you build a solid foundation from scratch while also getting ample practice in the process.
Before diving into decorators, we'll explore the fundamental principles that serve as the building blocks of this intriguing topic. You'll gain a deep understanding of higher-order functions, closures, and first-class functions â€“ prerequisites that unlock the magic of decorators. Foundational topics include:

Closures
First-Class Functions
Variadics
Higher Order Functions
Once we have established a solid grasp of these functional foundations, we'll dive into the captivating world of decorators. We'll start with a gentle introduction and gradually move towards more intricate techniques. Our exploration of decorators will include:

Basic Decorators
Decorating Parameterized Functions
Chaining Decorators
Decorating Functions With Variable Arity
Preserving Metadata of Decorated Functions

But that's not all! Each concept will be reinforced through engaging coding assignments of increasing difficulty. Throughout the course, will also explore several skill challenges inspired by real-world scenarios including:

Logging Function Output
Timing Runtime Performance
Using Decorators In Mocked Authentication Flows
Creating Cache Mechanisms

This course is tailored specifically for Python programmers interested in deepening their understanding of decorators as a gateway to functional programming or as a standalone, intermediate-level programming pattern.
See you inside!
Who this course is for:
Beginner Python developers interested in stepping up into intermediate and advance topics

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Hi! I'm Andy. I'm freelance software developer and capital markets consultant. I've spent close to a decade working with data, using code to automate business workflows, and consulting financial institutions on data-intensive applications.Aside from teaching, I run a AI and data consulting firm that targets fintechs in the post-trade services niche.

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