Name: Python Best Practices: Learn to Write Clean Python Code
Rating: 4.8 (498 reviews)

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Erstellt vonEstefania Cassingena Navone

Zuletzt aktualisiert 10/2024

Englisch

Das wirst du lernen

How to write Clean Python Code following the Python Style Guide (PEP 8).
Best practices for naming variables, functions, classes, methods, and sequences.
Best practices for indentation, line breaks, blank lines, and whitespaces in Python.
How to write clean Python loops with enumerate(), zip(), break, and the else clause.
Best practices to work with Object-Oriented Programming in Python.
How to work with files following the Python Style Guide.
Tips to write more "pythonic" code (swap variables, list comprehensions, merge dictionaries, the walrus operator, and more).
How to document your code with block comments, in-line comments, and docstrings.

Kursinhalt

15 Abschnitte • 119 Lektionen • 6 Std. 35 Min. Gesamtdauer

Importance of Writing Clean Code5:28
Welcome to the Course - Important Course Information2:17
Introduce Yourself and Share your Goals0:21
Introduce yourself in the Q&A section and share your goals.
When to Follow PEP 8 Guidelines (and When Not To)0:58
Advice on when to follow the Python Style Guide and when not to follow it.

Welcome to this Section0:43
Naming Conventions in Programming5:42
Commonly used naming styles in programming, including snake_case, CamelCase, and mixedCase.
Naming Conventions in Programming
Variable Naming Rules and Conventions in Python5:09
Learn the rules that you must follow to name a variable in Python and the established naming conventions.
Variable Naming Best Practices11:21
Learn the Python best practices for naming variables.
Variable Names That You Should Avoid in Python0:24
Learn what variable names you should avoid using in Python according to the official Python Style Guide (PEP 8).
How to Solve Naming Conflicts with Python Keywords3:58
Learn how to solve naming conflicts with Python keywords according to the official Python Style Guide (PEP 8).
Naming Rules and Guidelines
Constants in Python5:14
Learn how to define a constant in Python following the established naming conventions.
Constants in Python
Boolean Variables: Naming Conventions0:34
Learn the prefixes that are commonly used to name a variable that only takes boolean values (True or False).
Discussion Topic: Share your Thoughts0:07

Welcome to this Section0:40
Importance of Indentation in Python2:38
Learn why indentation is crucial in Python and why you will definitely need to use it in your programs.
Indentation Guidelines (Tabs vs. Spaces)2:59
Learn the Python indentation best practices and guidelines.
Important Concept: Hanging Indentation1:27
This is a very important concept that you need to know: handing indentation.
Indentation Guidelines
How to Indent and Unindent Code in Visual Studio Code1:11
Learn how to indent and unindent code in IDLE (+ keyboard shortcuts).
Tabs to Spaces and Spaces to Tabs1:10
Learn how to tabify and untabify code in IDLE.
Change Spaces per Level of Indentation in Visual Studio Code1:56
Learn how to change the number of spaces used per level of indentation in IDLE.
Indentation Best Practices for Multi-line Conditions6:18
Learn the best practices to indent multi-line constructs.
Indentation Best Practices in Python
Discussion Topic: Share your Thoughts0:07

Welcome to this Section0:42
Line Length Limit1:44
Learn the length limit recommended by the Python Style Guide (PEP 8) and the acceptable modifications.
Line Length Limit
Implied Line Continuation in Python6:26
Learn how to use implied line continuation in Python with parentheses, square brackets, and curly braces.
Line Breaks with Backslashes2:55
Learn how to use backslashes to break a line into multiple lines.
Implied Line Continuation vs. Backslashes
Binary Operators and Line Breaks4:50
Learn where to write binary operators that connect operands in different lines.
Binary Operators and Line Breaks
Avoid Writing Compound Statements in a Single Line6:05
Learn why you should avoid writing compound statements in a single line.
Avoid Compound Statements
Blank Lines in Functions, Methods, and Classes7:04
Learn the best practices to write blank lines in Python functions, methods, and classes.
Blank Lines in Python
Discussion Topic: Share your Thoughts0:08

Welcome to this Section0:39
Whitespace and Variables2:54
Learn how to use whitespaces in variable definitions appropriately.
Whitespace and Variables
Whitespace and Parentheses, Brackets, and Braces4:57
Learn how to use whitespaces with parentheses appropriately following the rules of the Python Style Guide (PEP 8).
Whitespace and Parentheses
Whitespace and Commas, Colons, and Semicolons2:12
Learn how to write whitespaces with commas, colons, and semicolons following the rules of the Python Style Guide.
Whitespace and Commas, Colons, and Semicolons
Whitespace and Operators7:18
Learn how to use whitespaces with operators appropriately following the rules of the Python Style Guide.
Whitespace and Operators
Trailing Whitespace Best Practices0:23
Learn the best practices to use trailing whitespaces in Python.
Discussion Topic: Share your Thoughts0:07

Welcome to this Section0:48
Importance of Comments to Write Clean Code4:26
Learn why it is important to write comments to make your code more readable and understandable.
Bad Practice: Over-Commenting Your Code5:36
Learn why it is important to avoid over-commenting your code.
Commenting Basics
Inline Comments4:31
Learn what inline comments are, what they are used for, and how to use them appropriately.
Inline Comments
Block Comments4:35
Learn what block comments are, what they are used for, and how to use them appropriately.
Block Comments
Introduction to Docstrings5:26
Learn what docstrings are and why they are very helpful to document your code.
One-Line Docstrings8:39
Learn how to write one-line docstrings and the best practices mentioned in the Python Style Guide.
Multi-Line Docstrings7:13
Learn how to write multi-line docstrings and the best practices mentioned in the Python Style Guide.
Print and Read Docstrings with __doc__0:56
Learn how to read the documentation strings of functions, classes, and methods using the __doc__ attribute.
Docstrings Best Practices
Discussion Topic: Share your Thoughts0:07

Welcome to this Section0:48
Single-Quoted vs. Double-Quoted Strings5:28
Learn the recommended use of quotes for Python strings.
Triple-Quoted Strings Best Practices0:39
Learn how to define docstrings using triple quotes.
String Quotes Guidelines
Spaces in String Slicing6:09
Learn the appropriate use of whitespace in string slicing with two and three parameters.
Spaces in String Slicing
String Methods vs. The string Module0:35
Learn why string methods should be used instead of the methods defined in the string module.
How to Concatenate Strings to Optimize Performance4:15
Learn how to concatenate strings following the best practices mentioned in the Python Style Guide.
How to Check Prefixes and Suffixes4:52
Learn how to check for prefixes and suffixes in a string following the recommendations of the Python Style Guide.
String Methods
Whitespace in Python Strings (+ How to Trim Whitespace)0:36
Learn the best practices for trailing whitespaces and how to trim leading and trailing whitespaces from strings.
Discussion Topic: Share your Thoughts0:08

Welcome to this Section0:57
Quick Tip: How to Leave or Update Your Review0:18
Parentheses in Expressions and Statements6:19
Learn the recommended use of parentheses in expressions and statements.
Comparison Operators Chaining6:23
Learn how to use comparison operators chaining in Python expressions.
Parentheses and Comparison Operators Chaining
The is Operator: Comparison to None5:23
Learn how to compare values to singletons like None using the 'is' operator.
is not ... vs. not ... is2:20
Learn the recommended format to compare values using the 'is' operator.
Best Practices for the is Operator
Truthy and Falsy Values6:50
Learn how to use truthy and falsy values directly in comparisons to avoid writing more complex expressions.
Example of Truthy and Falsy Values0:46
Example of the use of truthy and falsy values in Python.
Truthy and Falsy Values for Comparisons
Quick Review: Operators, Spaces, and Line Breaks0:43
Quick review of the best practices of operators, spaces, and line breaks in Python.
Discussion Topic: Share your Thoughts0:08

Welcome to this Section0:37
How to Write Multi-Line Constructs (Lists, Tuples, Dictionaries)4:13
Learn how to write multi-line constructs (lists, tuple, and dictionaries) following the guidelines of the Official Python Documentation.
How to Write Multi-Line Constructs (Lists, Tuples, Dictionaries)
Sequences as Truthy and Falsy Values in Conditionals5:11
Learn how to use sequences as truthy and falsy values in conditionals to write more concise expressions.
Sequences as Truthy and Falsy Values in Conditionals
List Comprehension (+ When to use it)15:17
Learn how to write list comprehensions, when they are used, and when they shouldn't be used.
List Comprehension
Dictionary Comprehension6:16
Learn how to write dictionaries comprehensions, when they are used, and when they shouldn't be used.
Dictionary Comprehension
Discussion Topic: Share your Thoughts0:08

Welcome to this Section0:59
Functions Naming Guidelines6:05
Learn the naming conventions for functions in Python established by the Python Style Guide.
Functions Best Practices4:57
Learn the best practices for Python functions established by the Python Style Guide.
Functions Basic Guidelines
Blank Lines in Functions0:23
Learn the best practices to write blank lines within and around Python functions.
Parameters and Arguments Best Practices5:53
Learn how to write arguments following the Python Style Guide.
Multi-line Parameters Lists6:20
Learn how to write and indent multi-line arguments lists.
return Statement Best Practices5:07
Learn how to use return statements consistently following the Python Style Guide.
Whitespace, Keyword Arguments, and Default Values6:18
Learn how to use whitespaces with keyword arguments.
Functions Best Practices
Discussion Topic: Share your Thoughts0:08

Anforderungen

You should have basic Python knowledge.
The course will teach you the best practices for each topic, assuming you have some prior knowledge.
You should have Python 3 installed and a code editor to write your code.
During the lectures, we will use Visual Studio Code but you can use any code editor of your choice.
Enthusiasm and dedication to learn how to write clean, concise, and readable Python code.

Beschreibung

Learn to write Clean Python Code following the Official Python Style Guide and Python Best Practices. Expand your skills with engaging video lectures, diagrams, quizzes, articles, and additional resources.

This course is your Python Best Practices Handbook where you can find Python best practices and tips to write "pythonic" code.

Learn to Write Clean Python Code and Take your Python Skills to the Next Level

Write clean, readable, and maintainable Python code.
Assign meaningful names to your variables, functions, classes, and methods.
Learn how to indent Python code following the Python Style Guide.
Apply Python best practices for line length, line breaks, and blank lines.
Use whitespaces appropriately with variables, parentheses, operators, commas, colons, and semicolons.
Learn Python best practices to write comments in your code and why they are helpful to write readable code.
Apply Python best practices to work with strings, sequences, operators, functions, loops, files, and object-oriented programming.
Plus, learn additional tips to write "pythonic" code (the walrus operator, list comprehension, dictionary comprehension, and more...)

Course Updates

The course is frequently updated with new lectures, projects, and resources:

September 2023 - NEW! Code editor updated to Visual Studio Code.
September 2023 - NEW! Updated the PDF course study guide.
September 2023 - NEW! Updated lectures with a new style.
August 2023 - NEW! New discussion topics.
August 2023 - NEW! Updated articles.

Python and Clean Code: In-demand Skills Around the World

Python is currently one of the most popular programming languages and its popularity continues to rise every year. It is used for real-world applications in diverse areas such as Web Development, Data Science, Machine Learning, Artificial Intelligence and many more.

If you are learning Python or if you already have some experience with this language, learning how to write clean, readable, and concise Python code following the best practices of the language is your next step into the amazing and powerful world of Python.

Learning Material & Resources

Throughout the course, you will find these resources:

Video Lectures: video lectures with carefully designed graphics and diagrams. You will learn the best practices of each topic with illustrative examples.
Quizzes: check your knowledge with 45+ quizzes with 213+ questions that provide unlimited attempts and instant feedback.
Articles: read articles with detailed explanations and illustrations to complement your knowledge.
Study Guide: review for the course exam with a detailed and unique PDF study guide with 120+ questions.
Course Exam: take a final course exam with 30+ questions to test your knowledge. The exam has unlimited attempts and detailed results for each attempt.

What makes this course unique?

This course is unique because of its emphasis on providing visual and detailed explanations of the best practices of Python. You will not only learn how to use these principles in Python, you will understand the purpose of each guideline and visualize it.

Unique study materials complement the course experience. You will find a PDF study guide specifically designed for the course with 120+ questions on the course content.

You will check your knowledge with Quizzes that will make you think more deeply about the topics presented in each section and you will receive instant feedback to check your answers.

You will receive a Certificate of Completion that you can add to your CV and social media profiles to showcase your new skills.

You will also have Lifetime Access to the course.

You are very welcome to watch the preview lectures and check out the full course curriculum.

If you are looking for an engaging, visual, and practical course, then you've found it.

Enroll now, add "Python Best Practices" and "Clean Code" to your resume, and showcase your new skills.

Für wen eignet sich dieser Kurs:

Students learning Python who want to learn best practices and style guidelines.
Self-taught learners with basic Python knowledge who wish to write clean Python code following best practices.
Python developers who would like to dive deeper into the Python Style Guide (PEP 8).
Developers who are learning Python and would like to expand their knowledge.

Das wirst du lernen

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Kursinhalt

Welcome to the Course: Python Best Practices4 Lektionen • 9 Min.

Variables Best Practices in Python9 Lektionen • 33 Min.

Indentation Best Practices in Python9 Lektionen • 18 Min.

Lines Best Practices: Break, Length, and Blank Lines8 Lektionen • 30 Min.

Whitespace Best Practices in Expressions and Statements7 Lektionen • 19 Min.

Comments and Docstrings Best Practices10 Lektionen • 42 Min.

Strings Best Practices in Python9 Lektionen • 24 Min.

Operators Best Practices in Python10 Lektionen • 30 Min.

Sequences Best Practices (Lists, Tuples, and Dictionaries)6 Lektionen • 32 Min.

Functions Best Practices in Python9 Lektionen • 36 Min.

Anforderungen

Beschreibung

Für wen eignet sich dieser Kurs: