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Reindert-Jan Ekker
Once you are beyond the junior stages of learning to program, you are ready to start thinking about what makes good, clean code. This course will give you a set of tools to help you create higher quality, maintainable Python projects.
Read more
Once you are beyond the junior stages of learning to program, you are ready to start thinking about what makes good, clean code. This course will give you a set of tools to help you create higher quality, maintainable Python projects.
Read more
Once you are beyond the junior stages of learning to program, you are ready to start thinking about what makes good, clean code. This course will give you a set of tools to help you create higher quality, maintainable Python projects.
In this course, Python 3 Best Practices, you will learn a number of best practices that will help you improve the quality of your Python code. First, you will discover the guidelines for formatting code called Pep8. Next, you will create beautiful and publishable documentation with Python docstrings and a tool called Sphinx. Finally. you will explore how to improve maintainability and prevent errors by adding type hints to your code. By the end of this course, you will be able to write clearer, more readable, and more maintainable code with better documentation.
Register for this course and see more details by visiting:
OpenCourser.com/course/rba1v4/python
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What's inside
Syllabus
Course Overview
Following Python Style Guidelines: Pep8
Documenting Your Project
Improve Your Code with Type Checking
Read more
Syllabus
Course Overview
Following Python Style Guidelines: Pep8
Documenting Your Project
Improve Your Code with Type Checking
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores Python style guidelines, which are standard in industry
Teaches Python docstrings, which helps learners create beautiful and publishable documentation
Examines type checking, which is highly relevant to improving maintainability
Save this course
Save Python 3 Best Practices to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Python 3 Best Practices with these
activities:
Guided tutorials: Formatting Python code according to PEP8
Show steps
Following Python's style guidelines will help ensure consistency in your code, improve readability, and reduce errors.
Browse courses on
PEP8
Show steps
-
Review the PEP8 style guide.
-
Install an extension like Jedi for your IDE to help automatically format your code according to PEP8.
Practice: Applying Pep8 to existing code
Show steps
Manually refactoring code to adhere to PEP8 will solidify your understanding of the guidelines.
Browse courses on
PEP8
Show steps
-
Find a code sample with poor Python style.
-
Refactor the code sample to adhere to PEP8 guidelines.
-
Compare your refactored code to the original code and identify the changes you made to adhere to PEP8.
Create: Python Docstrings for a sample function
Show steps
Writing clear and concise docstrings will improve the readability and maintainability of your code.
Show steps
-
Choose a Python function from your code or an open-source project.
-
Write a complete docstring for the function following the PEP257 conventions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Guided Tutorials: Using Sphinx to Generate Documentation
Show steps
Using Sphinx to generate documentation will allow you to create professional-looking documentation for your codebase.
Browse courses on
Sphinx
Show steps
-
Review the Sphinx documentation.
-
Install Sphinx.
-
Create a sample Sphinx project and include your docstrings.
Practice: Adding Type Hints to Existing Code
Show steps
Adding type hints to your code will help identify potential issues and improve code maintainability.
Browse courses on
Type Hints
Show steps
-
Find a Python code sample without type hints.
-
Add type hints to the code sample.
-
Run type checking on the code sample within your IDE or using an external tool like mypy.
Create: Blog Post on Python Type Checking
Show steps
Writing a blog post about type checking will allow you to share your knowledge with others and solidify your understanding of the topic.
Browse courses on
Type Hints
Show steps
-
Choose a topic related to Python type checking that you are familiar with.
-
Research and gather information on your topic.
-
Write a blog post that is informative and engaging.
Contribute: Fix a Python Bug on GitHub
Show steps
Make changes to this open-source Python library that improves the implementation.
Browse courses on
Bug Fixing
Show steps
-
Browse popular Python repositories on GitHub.
-
Identify a bug report issue you are interested in.
-
Fork the repository, make your changes, and submit a pull request.
Guided tutorials: Formatting Python code according to PEP8
Show steps
Following Python's style guidelines will help ensure consistency in your code, improve readability, and reduce errors.
Browse courses on
PEP8
Show steps
Show steps
Show steps
- Review the PEP8 style guide.
- Install an extension like Jedi for your IDE to help automatically format your code according to PEP8.
Practice: Applying Pep8 to existing code
Show steps
Manually refactoring code to adhere to PEP8 will solidify your understanding of the guidelines.
Browse courses on
PEP8
Show steps
Show steps
Show steps
- Find a code sample with poor Python style.
- Refactor the code sample to adhere to PEP8 guidelines.
- Compare your refactored code to the original code and identify the changes you made to adhere to PEP8.
Create: Python Docstrings for a sample function
Show steps
Writing clear and concise docstrings will improve the readability and maintainability of your code.
Show steps
Show steps
Show steps
- Choose a Python function from your code or an open-source project.
- Write a complete docstring for the function following the PEP257 conventions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Guided Tutorials: Using Sphinx to Generate Documentation
Show steps
Using Sphinx to generate documentation will allow you to create professional-looking documentation for your codebase.
Browse courses on
Sphinx
Show steps
Show steps
Show steps
- Review the Sphinx documentation.
- Install Sphinx.
- Create a sample Sphinx project and include your docstrings.
Practice: Adding Type Hints to Existing Code
Show steps
Adding type hints to your code will help identify potential issues and improve code maintainability.
Browse courses on
Type Hints
Show steps
Show steps
Show steps
- Find a Python code sample without type hints.
- Add type hints to the code sample.
- Run type checking on the code sample within your IDE or using an external tool like mypy.
Create: Blog Post on Python Type Checking
Show steps
Writing a blog post about type checking will allow you to share your knowledge with others and solidify your understanding of the topic.
Browse courses on
Type Hints
Show steps
Show steps
Show steps
- Choose a topic related to Python type checking that you are familiar with.
- Research and gather information on your topic.
- Write a blog post that is informative and engaging.
Contribute: Fix a Python Bug on GitHub
Show steps
Make changes to this open-source Python library that improves the implementation.
Browse courses on
Bug Fixing
Show steps
Show steps
Show steps
- Browse popular Python repositories on GitHub.
- Identify a bug report issue you are interested in.
- Fork the repository, make your changes, and submit a pull request.
Career center
Learners who complete Python 3 Best Practices will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists analyze data to extract insights and solve problems. Python is a popular language for data science thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. Python is a popular language for machine learning thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Machine Learning Engineer.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. Python is a popular language for web development thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Web Developer.
Data Analyst
Data Analyst
Data Analysts analyze data to extract insights and solve problems. Python is a popular language for data analysis thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Data Analyst.
DevOps Engineer
DevOps Engineer
DevOps Engineers bridge the gap between development and operations teams. Python is a popular language for DevOps thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a DevOps Engineer.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain software systems. Python is very popular in software engineering. This course will teach you best practices for writing Python code, which will make you more employable as a software engineer.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and maintain cloud-based systems. Python is a popular language for cloud engineering thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Cloud Engineer.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. Python is a popular language for project management thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Project Manager.
Business Analyst
Business Analyst
Business Analysts analyze business needs and develop solutions to improve business processes. Python is a popular language for business analysis thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Business Analyst.
Product Manager
Product Manager
Product Managers lead the development and launch of new products. Python is a popular language for product management thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Product Manager.
Network Administrator
Network Administrator
Network Administrators manage and maintain computer networks. Python is a popular language for network administration thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Network Administrator.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. Python is a popular language for database administration thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Database Administrator.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. Python is a popular language for technical writing thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Technical Writer.
Systems Administrator
Systems Administrator
Systems Administrators manage and maintain computer systems. Python is a popular language for systems administration thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Systems Administrator.
Software Tester
Software Tester
Software Testers test software to find and fix bugs. Python is a popular language for software testing thanks to its extensive libraries. This course will teach you best practices for writing Python code, which will make you more competitive as a Software Tester.
For more career information including salaries, visit:
OpenCourser.com/course/rba1v4/python
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Python 3 Best Practices.
Save
Provides a comprehensive set of best practices and guidelines for writing clean and maintainable code. It covers topics such as naming conventions, code organization, and testing.
Offers practical advice and insights on how to become a more effective programmer. It covers topics such as learning how to learn, managing complexity, and working with legacy code.
Save
Provides a catalog of design patterns that can be used to solve common software design problems. It covers topics such as creational patterns, structural patterns, and behavioral patterns.
Provides a more accessible introduction to design patterns than the classic "Design Patterns" book. It uses a conversational style and lots of diagrams to explain complex concepts.
Provides a practical guide to agile software development in C#. It covers topics such as test-driven development, refactoring, and continuous integration.
Provides a comprehensive guide to unit testing. It covers topics such as test design, test automation, and mocking.
Provides a practical introduction to test-driven development. It uses a simple example to explain the key concepts and benefits of TDD.
Provides a comprehensive guide to domain-driven design. It covers topics such as identifying domain concepts, building domain models, and implementing domain-driven applications.
Save
Provides a practical guide to software architecture. It covers topics such as layering, dependency inversion, and hexagonal architecture.
Provides a comprehensive guide to the architecture of open source applications. It covers topics such as design patterns, refactoring, and testing.
Provides a practical guide to building microservices. It covers topics such as service design, API design, and deployment.
Provides a practical guide to implementing domain-driven design. It covers topics such as identifying domain concepts, building domain models, and implementing domain-driven applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rba1v4/python
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Code Review: Best Practices
Time
104 hours
Level
Intermediate
Via
Pluralsight
Instructor
Reindert-Jan Ekker
Language
English
Good to know
Explores Python style guidelines, which are standard in industry
Teaches Python docstrings, which helps learners create beautiful and publishable documentation
Examines type checking, which is highly relevant to improving maintainability
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