Refactoring in Python by Bryan Beecham

Refactoring in Python by Bryan Beecham

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Video Description

4+ Hours of Video Instruction
With more than 4 hours of video instruction, learn how to refactor effectively in the Python programming language, gain all the basics to begin improving and simplifying your software designs, and refactor mercilessly.
Overview
In Refactoring in Python LiveLessons, Bryan Beecham shows developers how to recognize problems in their code, how to make needed changes to create high- quality software that can be rapidly developed, and how to refactor effectively in the Python programming language.
Refactoring is at the core of software improvement, giving structure and purpose on how to make software better. Changes to the code make it easier to understand, easier to modify, and easier to add new code.
Although refactoring is not new, software developers might struggle with how to do it properly. As Agile grows, concepts such as DevOps push to have high-quality and welI-designed code to allow for faster deployment and feedback. Much of the existing documentation on refactoring is in Java. By creating these examples in Python, it provides more fitting help for the large and growing Python workforce.
Skill Level

• Beginner to Intermediate

Learn How To

• Improve and simplify your software designs
• Refactor effectively in Python programming language
• Refactor legacy code
• Start using TDD with an existing code base
• Begin pair or mob programming with a new Agile team

Who Should Take This Course

• Python software and other software developers looking to improve skills in Refactoring
• Managers interested in learning about refactoring and how to help their teams get started

Course Requirements

• Familiarity with programming, preferably in Python

Lesson Descriptions
Lesson 1, Refactoring Fundamentals, reviews the basics of refactoring, where refactoring comes from, and the reasons for refactoring as well as when to stop. Learn how Technical Debt and Return on Investment (ROI) impact refactoring, the concept of refactoring without tests, the significance of source control systems, and what it means to refactor in a pythonic way.
Lesson 2, Recognizing Issues in Your Code, demonstrates finding problems in software. Locating these issues is the first step in refactoring your code. Review how comments can help or hurt, the overuse of conditionals, examples of confusing names, large code blocks, negative logic, too many parameters, multiple returns, how duplication can be harmful, the dangers of inconsistency, locating similar patterns, and examples of poor formatting.
Lesson 3, Common Refactoring Techniques, discusses the most common refactoring techniques that are used in the industry today. Learn the different types of refactoring that exist and the main refactoring techniques. Review examples for Rename, Move, Extract, and Inline refactoring techniques.
Lesson 4, Refactoring Examples, applies all the previous information, building four programs and applying refactoring knowledge to them. Learn how to locate problems in the software, determine which test to write next, and apply the appropriate refactoring.
Lesson 5, Inside Refactoring, first explores some academic concepts and ideas about refactoring. Then, it introduces the phases of Prepare, Improve, and Clean that exist when we refactor our software.
Lesson 6, The Benefits of Working with Others, reviews Pair Programming and the impact it has on refactoring. Learn about Mob Programming and the impact it has on teams.
Lesson 7, The Role of Testing in Refactoring, looks at the importance of creating tests for refactoring. Review how refactoring can improve testing and how refactoring works in a Test Driven Development (TDD) cycle.

Get Refactoring in Python by Bryan Beecham on Salaedu.com