The 30-Day Design Challenge

Name: The 30-Day Design Challenge
Price: 9 USD
Availability: InStock

8h 52m 30s

English

Paid

November 11, 2024

Course description

This course is designed for those who want to go beyond theoretical knowledge and develop skills in working with production code. Regardless of your level of experience - whether you are a junior developer looking to improve your skills or a data specialist who wants to structure your code - the course will help you move on to more complex tasks.

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0:00

#1: Welcome!

All Course Lessons (53)

#	Lesson Title	Duration
1	Welcome! Demo	01:59
2	Solution: KISS	02:14
3	Solution: Type Annotations	09:34
4	5 Tips To Achieve Low Coupling In Your Python Code	18:30
5	Solution: Decoupling	03:31
6	Solution: DRY	03:42
7	F-strings In Python_ Everything You Need To Know	23:29
8	Solution: String Formatting	02:33
9	Solution: Law Of Demeter	03:19
10	Solution: Better Discounts	04:32
11	The Strategy Pattern_ Write BETTER PYTHON CODE Part 3	15:31
12	How to Implement the Strategy Design Pattern in Python	27:20
13	Solution: Payment Strategy	03:08
14	Why the Plugin Architecture Gives You CRAZY Flexibility	24:06
15	Solution: Plugins	05:52
16	Functions vs Classes_ When to Use Which and Why_	10:49
17	Solution: Object Oriented To Functional	06:32
18	Cohesion and Coupling_ Write BETTER PYTHON CODE Part 1	26:14
19	Solution: Cohesion	03:53
20	Which Software Architecture Should You Use_ MVC, MVP, or MVVM_	24:27
21	Solution: MVP	05:18
22	Composition Is Better Than Inheritance in Python	23:29
23	Solution: Inheritance	03:39
24	Dependency INVERSION vs Dependency INJECTION in Python	17:52
25	Solution: Abstraction	02:26
26	You Can Do Really Cool Things With Functions In Python	19:47
27	Solution: Higher-Order Functions	03:12
28	Solution: Configuration	02:59
29	Next-Level Concurrent Programming In Python With Asyncio	19:19
30	How To Easily Do Asynchronous Programming With Asyncio In Python	23:09
31	Solution: Concurrency	08:18
32	Solution: Refactoring	03:36
33	A Deep Dive Into Iterators and Itertools in Python	21:01
34	Solution: Itertools	02:10
35	Solution: Inappropriate Intimacy	01:58
36	End of Part 1	00:32
37	Real-Life Case of the Command Design Pattern	32:25
38	Solution: Undo/Redo	03:32
39	Raw SQL, SQL Query Builder, or ORM?	16:19
40	Solution: SQL to ORM	04:29
41	Solution: Unit Tests (Basic)	02:48
42	Solution: Unit Tests (Advanced)	02:15
43	Solution: Operations Layer	04:35
44	Solution: Ticket Cancellation	03:32
45	Observer Pattern Tutorial: I NEVER Knew Events Were THIS Powerful	15:17
46	Solution: Messaging	04:30
47	Attrs, Pydantic, or Python Data Classes?	17:10
48	Do We Still Need Dataclasses? // PYDANTIC Tutorial	16:33
49	Solution: Validation	02:30
50	Let's Take The Bridge Pattern To The Next Level	17:13
51	Solution: Bridge	04:52
52	Solution: Mixins	03:33
53	Wrapping Things Up	00:57

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