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

Offered By: Unify via YouTube

Tags

Python Courses Machine Learning Courses Software Engineering Courses Clean Code Courses

Course Description

Overview

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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.

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

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