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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Content
1.
Preface
1 Lessons
Get familiar with writing clean, maintainable Python code focusing on essential principles and practices.
2.
Introduction to Clean Code, Code Formatting, and Tools
8 Lessons
Look at clean code principles, formatting, documentation, annotations, and essential tooling.
3.
Pythonic Code
10 Lessons
Master the steps to write idiomatic Python with indexing, context managers, and magic methods for enhanced clarity.
4.
General Traits of Good Code
14 Lessons
Grasp the fundamentals of robust code principles, design strategies, and effective function handling.
5.
The SOLID Principles
8 Lessons
Deepen your knowledge of SOLID principles to enhance code maintainability and scalability.
6.
Using Decorators to Improve Our Code
18 Lessons
See how decorators enhance Python code by promoting code reusability, separation of concerns, and the DRY principle.
7.
Getting More Out of Our Objects with Descriptors
14 Lessons
Build on descriptors to enhance Python’s object-oriented programming with reusable abstractions and controlled attributes.
8.
Generators, Iterators, and Asynchronous Programming
15 Lessons
Learn how to use generators, iterators, and asynchronous programming in Python effectively.
9.
Unit Testing and Refactoring
18 Lessons
Unpack the core of effective unit testing, test design principles, and refactoring techniques.
10.
Common Design Patterns
16 Lessons
Examine applying design patterns in Python, balancing inherent dynamic features with practical use cases.
11.
Clean Architecture
12 Lessons
Apply your skills to develop robust software architecture with modular, scalable, and maintainable systems.
12.
Conclusion
2 Lessons
Dig deeper into clean code principles, coding guidelines, and adaptable software design in Python.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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