PEP8 Guidelines: Python Clean Coding

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PEP8 Guidelines Python Clean Coding [TutsNode.net] - PEP8 Guidelines Python Clean Coding 2. Python Basics
  • 12. What is PyCharm.mp4 (173.4 MB)
  • 12. What is PyCharm.srt (12.7 KB)
  • 3. Logical Operations.srt (1.8 KB)
  • 13. PyCharm as the Major Python IDE.srt (8.8 KB)
  • 11. Data Structures.srt (8.7 KB)
  • 10. Loops.srt (8.2 KB)
  • 9. Exercise 2 If Statements.srt (7.5 KB)
  • 1. Print Objects and Data Types.srt (6.6 KB)
  • 7. Comparisons & Logical Operations.srt (5.5 KB)
  • 4. Exercise 1 Inputs and Logical Operations.srt (5.2 KB)
  • 8. If Statements.srt (5.0 KB)
  • 5. Operations with Strings.srt (4.4 KB)
  • 14. Python Basics Quiz.html (0.2 KB)
  • 2. Taking Inputs From the User.srt (3.1 KB)
  • 6. Arithmetic Operations.srt (3.1 KB)
  • 11. Data Structures.mp4 (153.9 MB)
  • 10. Loops.mp4 (148.3 MB)
  • 9. Exercise 2 If Statements.mp4 (142.6 MB)
  • 13. PyCharm as the Major Python IDE.mp4 (130.3 MB)
  • 7. Comparisons & Logical Operations.mp4 (96.7 MB)
  • 8. If Statements.mp4 (88.4 MB)
  • 4. Exercise 1 Inputs and Logical Operations.mp4 (85.5 MB)
  • 5. Operations with Strings.mp4 (77.7 MB)
  • 1. Print Objects and Data Types.mp4 (74.9 MB)
  • 6. Arithmetic Operations.mp4 (56.9 MB)
  • 2. Taking Inputs From the User.mp4 (52.3 MB)
  • 3. Logical Operations.mp4 (33.8 MB)
7. PEP8 Practice Projects
  • 1. Array Grid Project.srt (27.6 KB)
  • 3. Bullets Game Main Game Loop.srt (26.5 KB)
  • 2. Bullets Game Class Definition.srt (21.5 KB)
  • 3. Bullets Game Main Game Loop.mp4 (147.9 MB)
  • 1. Array Grid Project.mp4 (139.0 MB)
  • 2. Bullets Game Class Definition.mp4 (110.8 MB)
5. Naming Conventions
  • 1. Descriptive Naming Styles.srt (21.2 KB)
  • 4. Exceptions, Global and Local Variables.srt (12.7 KB)
  • 5. Constants and Interface Design.srt (12.5 KB)
  • 3. Functions, Methods and Instance Variables.srt (10.4 KB)
  • 2. Project Module and Variable Conventions.srt (8.6 KB)
  • 1. Descriptive Naming Styles.mp4 (97.9 MB)
  • 5. Constants and Interface Design.mp4 (64.8 MB)
  • 4. Exceptions, Global and Local Variables.mp4 (55.9 MB)
  • 3. Functions, Methods and Instance Variables.mp4 (54.5 MB)
  • 2. Project Module and Variable Conventions.mp4 (34.6 MB)
  • 5.1 Animals.zip (2.4 MB)
6. Annotations and Recommendations
  • 1. Programming Recommendations.srt (20.7 KB)
  • 3. Function Annotations Part 2.srt (9.1 KB)
  • 2. Function Annotations Part 1.srt (4.0 KB)
  • 1. Programming Recommendations.mp4 (92.0 MB)
  • 2. Function Annotations Part 1.mp4 (53.7 MB)
  • 3. Function Annotations Part 2.mp4 (43.2 MB)
  • 3.1 RecommendationsAnnotations.zip (3.1 MB)
3. PEP 8 Code Lay-Out
  • 2. Code Lay-Out.srt (20.1 KB)
  • 5. PEP 8 Imports and Dunder Names.srt (14.4 KB)
  • 4. Object Oriented Spacing and Encoding.srt (12.8 KB)
  • 3. Tabs and Line Length.srt (12.0 KB)
  • 1. What is PEP8.srt (10.1 KB)
  • 1. What is PEP8.mp4 (152.7 MB)
  • 2. Code Lay-Out.mp4 (82.0 MB)
  • 5. PEP 8 Imports and Dunder Names.mp4 (67.2 MB)
  • 3. Tabs and Line Length.mp4 (63.4 MB)
  • 4. Object Oriented Spacing and Encoding.mp4 (55.2 MB)
  • 5.1 CodeLayOut.zip (12.1 MB)
4. Whitespace in Expressions and Statements
  • 4. Whitespace in Functions and Logical Operations.srt (15.5 KB)
  • 2. Comments and Documentation Strings.srt (15.4 KB)
  • 3. String Quotes and Pet Peeves.srt (13.0 KB)
  • 1. Trailing Commas.srt (7.8 KB)
  • 2. Comments and Documentation Strings.mp4 (77.7 MB)
  • 4. Whitespace in Functions and Logical Operations.mp4 (72.8 MB)
  • 3. String Quotes and Pet Peeves.mp4 (58.9 MB)
  • 1. Trailing Commas.mp4 (35.6 MB)
  • 4.1 Whitespace.zip (2.4 MB)
1. Introduction
  • 2. Important Course Notes.srt (7.2 KB)
  • 4. Install Python and PyCharm.srt (5.6 KB)
  • 1. Introduction.srt (4.8 KB)
  • 3. Source Code and Course Navigation.srt (3.1 KB)
  • 2. Important Course Notes.mp4 (95.4 MB)
  • 1. Introduction.mp4 (59.1 MB)
  • 4. Install Python and PyCharm.mp4 (41.1 MB)
  • 3. Source Code and Course Navigation.mp4 (26.6 MB)
  • TutsNode.net.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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Description


Description

The Complete PEP8 Professional Python Coding Course covers the PEP 8 document that provides guidelines and best practices on how to write Python code. The primary focus of PEP 8 is to improve the readability and consistency of Python code.

PEP 8 exists to improve the readability of Python code. But why is readability so important? Why is writing readable code one of the guiding principles of the Python language?

As Guido van Rossum said, “Code is read much more often than it is written.” You may spend a few minutes, or a whole day, writing a piece of code to process user authentication. Once you’ve written it, you’re never going to write it again. But you’ll definitely have to read it again. That piece of code might remain part of a project you’re working on. Every time you go back to that file, you’ll have to remember what that code does and why you wrote it, so readability matters.

If you’re new to Python, it can be difficult to remember what a piece of code does a few days, or weeks, after you wrote it. If you follow PEP 8, you can be sure that you’ve named your variables well. You’ll know that you’ve added enough whitespace so it’s easier to follow logical steps in your code. You’ll also have commented your code well. All this will mean your code is more readable and easier to come back to. As a beginner, following the rules of PEP 8 can make learning Python a much more pleasant task.

Following PEP 8 is particularly important if you’re looking for a development job. Writing clear, readable code shows professionalism. It’ll tell an employer that you understand how to structure your code well.

If you have more experience writing Python code, then you may need to collaborate with others. Writing readable code here is crucial. Other people, who may have never met you or seen your coding style before, will have to read and understand your code. Having guidelines that you follow and recognize will make it easier for others to read your code.

By the end of this course, you’ll be able to:

Write Python code that conforms to PEP 8
Understand the reasoning behind the guidelines laid out in PEP 8
Set up your development environment so that you can start writing PEP 8 compliant Python code
Follow the correct naming conventions for packages, modules, objects, classes variables and more.
Implement the appropriate whitespacing between Python code components
Develop full scale professional Python projects

Who this course is for:

Software Engineers that wish to improve their coding efficiency
Computer Science students that want to code professionally
Anyone with a desire to learn Python and PEP8

Requirements

Basic understanding of any programming language
Prior Python experience is not required
Desire to learn PEP 8 guidelines and write Clean Code

Last Updated 9/2022



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PEP8 Guidelines: Python Clean Coding


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