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Python Best Practices for Code Quality
Reindert-Jan Ekker
Reindert-Jan Ekker
In need of core skills for any level python development? In this course, Python Best Practices for Code Quality, 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...
Read more
In need of core skills for any level python development? In this course, Python Best Practices for Code Quality, 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...
Read more
In need of core skills for any level python development? In this course, Python Best Practices for Code Quality, 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/45p2kg/python
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops code quality standards that are critical in all levels of development work
Focuses on code readability, an often overlooked, but fundamental aspect of quality
Teaches industry-standard documentation principles using Pep8 and Sphinx
Emphasizes the importance of maintainability and error prevention through type hints
Provides actionable best practices for improving code quality immediately
Taught by experienced instructor with a proven track record in Python best practices
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Career center
Learners who complete Python Best Practices for Code Quality will develop knowledge and skills
that may be useful to these careers:
Software Developer
Software Developer
A Software Developer designs, develops, and maintains software applications. Understanding best practices for code quality can help to improve the quality of software applications, making them more efficient, reliable, and maintainable. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that software applications are well-written and easy to understand, leading to fewer errors and a more efficient development process.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs and develops machine learning models to help organizations make better decisions. Understanding best practices for code quality can help to improve the efficiency and accuracy of machine learning models. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that machine learning models are well-documented and easy to understand, leading to more accurate and reliable results.
Data Scientist
Data Scientist
A Data Scientist designs and executes plans for managing, cleaning, and analyzing data to help organizations make better decisions. Understanding best practices for code quality can help to improve the efficiency and accuracy of data management and analysis. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that data is properly managed and analyzed, leading to more accurate and reliable results.
Software Architect
Software Architect
A Software Architect designs and oversees the development of software systems. Understanding best practices for code quality can help to improve the quality of software architecture. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that software architecture is well-written and easy to understand, leading to more efficient and reliable software systems.
Data Engineer
Data Engineer
A Data Engineer designs and builds systems to collect, store, and process data. Understanding best practices for code quality can help to improve the efficiency and reliability of data engineering systems. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that data engineering systems are well-written and easy to understand, leading to fewer errors and a more efficient development process.
DevOps Engineer
DevOps Engineer
A DevOps Engineer combines software development (Dev) and information technology operations (Ops) to build, deploy, and maintain software applications. Understanding best practices for code quality can help to improve the efficiency and reliability of DevOps processes. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that software applications are well-written and easy to understand, leading to a more efficient and reliable DevOps process.
Cloud Architect
Cloud Architect
A Cloud Architect designs and manages cloud computing systems. Understanding best practices for code quality can help to improve the efficiency and reliability of cloud computing systems. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that cloud computing systems are well-written and easy to understand, leading to a more efficient and reliable cloud architecture.
Data Analyst
Data Analyst
A Data Analyst cleans, analyzes, and interprets data to help organizations make better decisions. Understanding best practices for code quality can help to improve the efficiency and accuracy of data analysis. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that data analysis is well-documented and easy to understand, leading to more accurate and reliable results.
Database Administrator
Database Administrator
A Database Administrator designs, implements, and maintains databases. Understanding best practices for code quality can help to improve the efficiency and reliability of databases. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that databases are well-written and easy to understand, leading to more efficient and reliable database management.
Web Developer
Web Developer
A Web Developer designs and develops websites and web applications. Understanding best practices for code quality can help to improve the quality of web development. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that websites and web applications are well-written, easy to use, and efficient.
Computer Programmer
Computer Programmer
A Computer Programmer writes, tests, and maintains computer programs. Understanding best practices for code quality can help to improve the quality of computer programs. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that computer programs are well-written, easy to understand, and efficient.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. Understanding best practices for code quality can help to improve the security of computer systems and networks. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that computer systems and networks are secure and reliable.
Embedded Software Engineer
Embedded Software Engineer
An Embedded Software Engineer designs and develops software for embedded systems. Understanding best practices for code quality can help to improve the quality of embedded software. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that embedded software is well-written and easy to understand, leading to more reliable and efficient embedded systems.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst tests and evaluates software products and services to ensure that they meet quality standards. Understanding best practices for code quality can help to improve the quality of software testing. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that software testing is thorough and effective, leading to higher-quality software products and services.
Technical Writer
Technical Writer
A Technical Writer creates documentation for technical products and services. Understanding best practices for code quality can help to improve the quality of technical documentation. Using the guidelines for formatting code called Pep8, creating beautiful and publishable documentation with Python docstrings and a tool called Sphinx, and adding type hints to your code can help ensure that technical documentation is well-written, accurate, and easy to understand, leading to more effective communication between technical teams and users.
For more career information including salaries, visit:
OpenCourser.com/course/45p2kg/python
Reading list
We've selected 13 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 Best Practices for Code Quality.
Save
A practical guide to writing better Python code using a series of specific and actionable tips, covering topics such as code formatting, object-oriented programming, and performance optimization.
Save
A classic work on software development principles and best practices, providing guidance on writing clean, maintainable, and testable code.
A comprehensive guide to software development best practices, including chapters on code quality, testing, and agile methodologies.
A seminal work on refactoring techniques, providing a structured approach to improving the design and quality of code without changing its functionality.
Save
A concise and practical reference for Python developers, covering all aspects of the language from syntax to standard library modules.
Save
An accessible and engaging introduction to Python, using a visual and interactive approach to teach core concepts and programming techniques.
Save
A comprehensive and well-written introduction to Python 3, covering all major aspects of the language and syntax.
Save
An in-depth exploration of Python's advanced features and idioms, providing insights into how to write idiomatic and efficient Python code.
A hands-on guide to using Python for automation tasks and scripting, covering topics such as web scraping, data processing, and system administration.
Save
A free and open-source textbook that teaches Python as a vehicle for problem-solving and computational thinking.
A comprehensive collection of practical recipes and solutions to common Python problems, covering a wide range of topics from data structures to concurrency.
A comprehensive reference to the Python Standard Library, providing detailed examples and explanations of all major modules and functions.
A fast-paced and practical introduction to Python, covering core concepts and topics such as data structures, object-oriented programming, and data visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/45p2kg/python
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Time
1 hours
Via
Pluralsight
Instructor
Reindert-Jan Ekker
This course belongs to a
collection
called
Python. It's comprised of 12 courses:
- Python: The Big Picture
- Python: Getting Started
- Advanced Python
- Python Fundamentals
- Python – Beyond the Basics
- The Python Developer's Toolkit
- Unit Testing with Python
- Full Stack Web Development with Python (WEB2PY)
- Python Best Practices for Code Quality (viewing)
- Managing Python Packages and Virtual Environments
- Core Python 3: Getting Started
- Advanced Python
Good to know
Develops code quality standards that are critical in all levels of development work
Focuses on code readability, an often overlooked, but fundamental aspect of quality
Teaches industry-standard documentation principles using Pep8 and Sphinx
Emphasizes the importance of maintainability and error prevention through type hints
Provides actionable best practices for improving code quality immediately
Taught by experienced instructor with a proven track record in Python best practices
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