Advanced Python Training - Refactoring Your Python Code

You'll learn how to manage code cleaning from a technical and organizational perspective.

What you'll learn
Improve code readability by applying effective concepts and techniques
Learn to discover ways to identify long methods and refactor them
Create objects that keep your code flexible, maintainable, and testable
Spot and fix common code smells to create code that is easier to read and understand
Apply the Single Responsibility Principle to develop less-coupled code
Discover how to combine different refactoring techniques
Learn ways to solve the issues caused by overusing primitives
Support your evolving code base by refactoring architectural behavior
Requirements
Basic python knowledge is helpful
Description
Welcome to this course. Refactoring improves your code without changing its behavior. As you consider the benefits of refactoring, you will need this complete course to steer you through the process of refactoring your code for optimum results. This course will show you how to make your code base more maintainable by detailing various refactorings. With refactoring, the best approach is to apply small targeted changes to a codebase. Instead of doing a huge sweeping change to your code, refactoring is better as a long-term and continuous enterprise. Advanced Python Training - Refactoring Your Python Code explains how to spot bugs and remove them from your code.This course will discuss large-scale code management, which typically calls for refactoring. You’ll start by seeing how wordy conditionals, methods, and null checks make code unhealthy and unstable. This course introduces you to improving a software system’s design through refactoring. It begins with simple refactoring and works its way through complex refactoring. You will learn how to change the design of your software system and how to prioritize refactorings. Whether it is identifying messy nested conditionals or removing unnecessary methods, this course will show various techniques to avoid these pitfalls and write code that is easier to understand, maintain, and test.At the end of the course, you’ll have learned some of the main causes of unhealthy code, tips to identify them and techniques to address them.

Overview

Section 1: Welcome

Lecture 1 Introduction

Section 2: Getting started

Lecture 2 Introduction

Lecture 3 Learn About Refactoring

Lecture 4 Learn How to Recognize Issues

Lecture 5 Learn About the Comments

Lecture 6 Using the conditionals

Lecture 7 Understanding Names - Variables, Functions, Classes

Lecture 8 Learn About Code Blocks

Lecture 9 The Negative Logic

Lecture 10 Don't use too Many Parameters

Lecture 11 Learning Multiple Returns

Lecture 12 Learn About Duplication

Lecture 13 Understanding Inconsistency

Lecture 14 Learning Similar Patterns

Lecture 15 Learn About Poor Formatting

Lecture 16 Learning the Code Smell

Lecture 17 Learn How to Spot Zombie Code

Lecture 18 Learn About Clutter, Complexity & Cleverness

Section 3: Learning Main Refactoring Techniques

Lecture 19 Introduction

Lecture 20 Why Refactoring

Lecture 21 A Brief Intro to Core Refactoring Techniques

Lecture 22 Learn and Understand the Rename Technique

Lecture 23 Learn and Understand the Move Technique

Lecture 24 Learn and Understand the Extract Technique

Lecture 25 Learn and Understand the Inline Technique

Lecture 26 More About Refactoring Techniques

Section 4: Learn and Understand the Examples

Lecture 27 Introduction

Lecture 28 Using Programming katas

Lecture 29 Learn How to Create the program FizzBuzz

Lecture 30 Learn How to Create the Roman Numerals kata

Lecture 31 Learn to Build a Game - 1

Lecture 32 Learn to Build a Game - 2

Lecture 33 Examples: Refactoring the Code - 1

Lecture 34 Examples: Refactoring the Code - 2

Lecture 35 Examples: Refactoring the Code - 3

Lecture 36 Examples: Refactoring the Code - 4

Lecture 37 Examples: Refactoring the Code - 5

Developers who want to refactor their code in Python