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Python Best Practices for Code Quality

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.

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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

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.

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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.

See salaries and explore the career path for Machine Learning Engineer

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.

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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.

See salaries and explore the career path for Software Architect

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.

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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.

See salaries and explore the career path for DevOps Engineer

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.

See salaries and explore the career path for Cloud Architect

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Database Administrator

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.

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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.

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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.

See salaries and explore the career path for Information Security Analyst

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.

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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.

See salaries and explore the career path for Quality Assurance Analyst

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.

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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.

Effective Python