CF

Clean Code

6h 41m 15s
English
Free

As a developer, the ability to write code that works is fundamental. However, there's a distinction between merely functional code and clean code—the latter being a hallmark of professional developers. This course is designed to teach you how to write clean code that is easy for humans to read and understand, not just computers.

Why Clean Code Matters

In this course, you'll discover what clean code truly means and how you can apply clean coding principles. Clean code is not just easier to read and understand; it’s also simpler to maintain. It's not only the computer that needs to understand your code—your colleagues, as well as your future self, will thank you for writing clean, comprehensible code.

Course Overview

This course delves into the main "pain points" associated with bad code and teaches you to transform it into clean code. Here's what you will specifically learn:

Naming Things Correctly

  • Naming variables, properties, classes, and functions appropriately
  • Avoiding common pitfalls and mistakes in naming

Effective Use of Comments

  • Understanding why most comments are unnecessary
  • Identifying good comments to enhance code understanding

Code Formatting

  • Horizontal and vertical code formatting techniques

Function Design

  • Limiting the number of function parameters
  • Writing clean functions focusing on a single task
  • Using levels of abstraction to keep functions small
  • Writing DRY (Don't Repeat Yourself) functions and avoiding side effects

Control Structures and Error Handling

  • Using guards and extracting functionality to avoid nested structures
  • Applying error handling as a smart alternative to if-statements

Object-Oriented Principles

  • Understanding objects, data containers, and data structures
  • Writing cohesive and small classes
  • Applying the Law of Demeter for cleaner code

SOLID Principles

  • Mastering the SOLID principles and their importance in clean code

Course Richness

This course is a comprehensive compilation of common patterns, best practices, principles, and rules for writing clean code. You'll engage with a broad spectrum of concepts, enhancing your understanding by course end.

Methodology

This is not a design patterns course, but rather a focus on rules and concepts crucial for writing clean code. You'll find examples, code snippets, and demos backed by challenges, ensuring practical application of the theory.

Flexibility in Programming Languages

The course examples use Python, JavaScript, and TypeScript, yet no prior knowledge of these languages is required. The concepts are universally applicable, irrespective of specific programming paradigms or styles.

Prerequisites

  • Basic programming knowledge in any language
  • No need for prior clean code experience

Additional

https://github.com/academind/clean-code-course-code

About the Authors

Academind Pro (Maximilian Schwarzmüller)

Academind Pro (Maximilian Schwarzmüller) thumbnail

Academind is the teaching brand of Maximilian Schwarzmüller (Max) and Manuel Lorenz, two German developers whose Udemy catalog has become one of the largest single-instructor presences on that platform. Max in particular is widely cited as one of the clearest teachers of the JavaScript framework landscape — his Angular, React, Vue, and Node.js courses have collectively taught millions of students.

The Academind Pro platform extends beyond Udemy with deeper, more comprehensive courses aimed at developers building real applications rather than picking up syntax. Course material covers the full modern web stack: React (including Next.js), Vue, Angular, Node.js, NestJS, TypeScript, Docker, AWS, React Native, Flutter, and the broader full-stack JavaScript ecosystem.

The CourseFlix listing under this source carries over 25 Academind Pro courses spanning that range. Material is paid; Academind Pro runs on per-course pricing on the original platform. Courses are taught in Max's signature thorough, build-an-application-with-me style — long-form, deeply project-based, and continuously updated as the underlying frameworks evolve.

Udemy

Udemy thumbnail

Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

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#Lesson TitleDuration
1Welcome to the Course! 02:28
2What is "Clean Code"? 05:58
3Clean Code - Key Pain Points & How To Write Clean Code 03:33
4How Is This Course Structured? 01:23
5Course Prerequisites 03:17
6Clean Code & Strongly Typed Languages 02:32
7About The Course Code Examples 02:05
8Functional, OOP, Procedural: The Course Concepts Always Apply! 01:30
9Clean Code, Principles & Patterns & Clean Architecture 03:18
10Clean Code vs Quick Code 05:02
11Module Introduction 01:02
12Why Good Names Matter 03:24
13Choosing Good Names 04:04
14Casing Conventions & Programming Languages 03:08
15Naming Variables & Properties - Theory 03:49
16Naming Variables & Properties - Examples 04:45
17Naming Functions & Methods - Theory 02:37
18Naming Functions & Methods - Examples 03:11
19Naming Classes - Theory 01:57
20Naming Classes - Examples 02:35
21Exceptions You Should Be Aware Of 06:25
22Common Errors & Pitfalls 07:51
23Demo Time! 10:30
24Your Challenge - Problem 01:12
25Your Challenge - Solution 10:02
26Module Introduction 01:07
27Bad Comments 03:53
28Good Comments 03:51
29What is "Code Formatting" Really About? 02:27
30Vertical Formatting 08:04
31Formatting: Language-specific Considerations 02:04
32Horizontal Formatting 03:37
33Your Challenge - Problem 01:02
34Your Challenge - Solution 06:20
35Module Introduction 01:13
36Analyzing Key Function Parts 01:39
37Keep The Number Of Parameters Low! 06:39
38Refactoring Function Parameters - Ideas & Concepts 03:44
39When One Parameter Is Just Right 02:13
40Two Parameters & When To Refactor 04:08
41Dealing With Too Many Values 04:27
42Functions With A Dynamic Number Of Parameters 02:42
43Beware Of "Output Parameters" 04:20
44Functions Should Be Small & Do One Thing! 09:52
45Why "Levels of Abstraction" Matter 06:12
46When Should You Split? 02:52
47Demo & Challenge 13:10
48Stay DRY - Don't Repeat Yourself 02:05
49Splitting Functions To Stay DRY 05:42
50Don't Overdo It - Avoid Useless Extractions 06:52
51Understanding & Avoiding (Unexpected) Side Effects 12:02
52Side Effects - A Challenge 09:22
53Why Unit Tests Matter & Help A Lot! 06:16
54Module Introduction 02:53
55Useful Concepts - An Overview 01:23
56Introducing "Guards" 02:54
57Guards In Action 06:34
58Extracting Control Structures & Preferring Positive Phrasing 03:18
59Extracting Control Structures Into Functions 04:04
60Writing Clean Functions With Control Structures 07:33
61Inverting Conditional Logic 08:09
62Embrace Errors & Error Handling 06:58
63Creating More Error Guards 04:28
64Extracting Validation Code 04:11
65Error Handling Is One Thing! 03:36
66Using Factory Functions & Polymorphism 08:57
67Working with Default Parameters 01:15
68Module Summary 03:38
69Module Introduction 01:43
70Important: This is NOT an OOP or "Patterns & Principles" Course! 02:15
71Objects vs Data Containers / Data Structures 04:11
72Why The Differentiation Matters 03:58
73Classes & Polymorphism 12:55
74Classes Should Be Small! 06:21
75Understanding "Cohesion" 04:50
76The "Law Of Demeter" And Why You Should "Tell, Not Ask" 11:41
77The SOLID Principles 02:06
78The Single-Responsibility-Principle (SRP) & Why It Matters 07:05
79The Open-Closed Principle (OCP) & Why It Matters 05:44
80The Liskov Substitution Principle 05:57
81The Interface Segregation Principle 04:19
82The Dependency Inversion Principle 07:01
83Concepts Summary & Checklist 09:06
84Staying Clean! 02:58
85Possible Next Steps 02:45
86Course Roundup 00:56

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Frequently asked questions

What prerequisites are needed for this course?
The course includes a lesson on prerequisites, indicating that some foundational knowledge is required. While the course does not specify exact prerequisites, familiarity with programming concepts and languages is likely beneficial, as the course covers topics such as function design, naming conventions, and code formatting.
What projects or exercises will I work on during the course?
The course features several 'Demo Time!' and 'Your Challenge' lessons where students can apply what they have learned. These exercises help practice naming conventions, effective use of comments, and function design by presenting real-world problems and solutions.
Who is the target audience for this course?
This course is targeted at developers who wish to improve their coding practices. It is especially suited for those looking to write code that is not just functional but also clean and maintainable, benefitting both individual developers and teams.
How does this course compare to others focusing on coding practices?
This course specifically emphasizes writing clean code, with a focus on naming conventions, code formatting, and function design. Unlike courses that may only touch on these topics, it provides detailed lessons and practical exercises to transform bad code into clean code.
What specific tools or platforms does this course cover?
While the course does not focus on specific tools or platforms, it addresses concepts that apply across functional, OOP, and procedural programming paradigms. This makes the principles taught applicable to a variety of programming languages and environments.
What topics are not covered in this course?
The course does not cover advanced programming concepts such as algorithm design or system architecture in detail. Instead, it focuses on the fundamental principles of writing clean, understandable code, including naming, comments, and formatting.
What is the expected time commitment for completing this course?
The course includes a total of 86 lessons, although the exact runtime is not specified. Given the detailed nature of the topics and the inclusion of practical exercises, students should be prepared to dedicate a significant amount of time to fully engage with the material and complete the challenges.