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1
Intro
2
The Best Practices
3
Keep It Simple
4
Separation of Concerns
5
Variables
6
Avoid Mental Mapping
7
Avoid Unneeded Context
8
Avoid Short-circuiting
9
Functions
10
Meaningful Names
11
Granularity
12
Avoid Side-effects
13
Classes and Principles
14
Conventions and Closing Thoughts
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into a comprehensive tutorial on formatting and best coding practices for machine learning solutions using Ivy. Learn essential principles for writing clean Python code, including variable management, function design, class structuring, and Pythonic conventions. Explore key concepts like simplicity, separation of concerns, meaningful naming, and avoiding side effects. Gain insights on granularity, mental mapping, and unneeded context. Discover how to apply these practices to develop efficient, shareable, and optimally deployable machine learning solutions.

Deep Dive: Formatting and Best Coding Practices in Python - Tutorial 21

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