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
Overview
Syllabus
Intro
The Best Practices
Keep It Simple
Separation of Concerns
Variables
Avoid Mental Mapping
Avoid Unneeded Context
Avoid Short-circuiting
Functions
Meaningful Names
Granularity
Avoid Side-effects
Classes and Principles
Conventions and Closing Thoughts
Taught by
Unify
