Clean Code in Python
Want to learn how to code cleanly? Discover Python basics to advanced topics like decorators and async programming. Get hands-on experience to confidently build skills and write maintainable code.
4.5
136 Lessons
37h
Updated 1 month ago
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Writing high quality code is one of the highly desirable traits of software engineers in the industry. This course is useful for anyone interested in creating scalable and maintainable software design in Python. It is assumed that the learner is already familiar with the principles of object-oriented software design and has experience writing code in Python.
In this course, you’ll go through the content in an increasing order of complexity, starting from the basics of Python. The course covers some advanced topics in Python as well, including decorators, descriptors, and an introduction to asynchronous programming. It'll help you discover more about Python because some of the cases are analyzed from the internals of the language itself.
After taking this course, you are expected to be equipped with sound hands-on experience and working knowledge of advanced topics in Python. You will be able to demonstrate how to write highly readable and maintainable clean code using the software engineering principles.
Writing high quality code is one of the highly desirable traits of software engineers in the industry. This course is useful for...Show More
WHAT YOU'LL LEARN
An understanding of general software engineering principles to write maintainable code in Python
An understanding of SOLID principles for effective object-oriented design in Python
Hands-on experience with decorators for reusing code, separating responsibilities, and creating granular functions in Python
Familiarity with descriptors to improve code readability in Python
Hands-on experience with generators, iterators, and asynchronous programming in Python
Familiarity with unit testing and refactoring in Python
An understanding of general software engineering principles to write maintainable code in Python
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Learning Roadmap
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