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Pythonic Programming Tips for Software Engineers - AI-Powered Course
4.6
Beginner
5h
Pythonic Programming Tips for Software Engineers
Gain insights into Pythonic programming techniques. Learn about documentation, data types, safety, performance, and function design to write fast, maintainable, and correct Python code.
Join 2.8M developers at
Overview
Content
Reviews
This course is an invaluable resource for anyone who wants to learn the correct Pythonian way of writing highly performant code that is easy to maintain and grow.
The course is divided into six chapters: documentation tips, data types/data structures tips, safety tips, performance tips, function design tips, and general tips. Throughout each chapter, you will get hands-on experience working with real Python code to help ingrain each concept.
By the end, you will know how to make your programs correct, safe, fast, and easy to maintain.
This course is an invaluable resource for anyone who wants to learn the correct Pythonian way of writing highly performant code ...Show More
WHAT YOU'LL LEARN
Learn how to document the code in pythonic way
Learn how to simplify complex code
Learn how to write more flexible code
Learn how to enhance the readability of the code
Learn how to throw exceptions for minor errors
Learn how to use basic operations with strings and files more efficiently
Learn how to write safe and secure function calls
Learn how to document the code in pythonic way
Show more
Content
35 Lessons22 Quizzes2 Challenges
1.
Introduction
1 Lessons
Get familiar with enhancing Python skills through tips for clear, efficient, and maintainable code.
2.
Documentation Tips
4 Lessons
Unpack the core of Pythonic documentation with effective formatting, identifiers, docstrings, and clear coding conventions.
3.
General Tips
6 Lessons
Examine Pythonic programming tips for comparisons, loops, strings, files, serialization, and performance challenges.
4.
Data Types and Data Structures Tips
5 Lessons
Grasp the fundamentals of Pythonic data structures, modules, counting methods, and advanced numeric handling techniques.
5.
Function Tips
4 Lessons
Solve problems in optimizing Python function calls, returns, generators, and inner functions.
6.
Performance Tips
5 Lessons
Tackle performance, memory, imports, and string handling techniques to optimize Python projects.
7.
Safety Tips
9 Lessons
Master safe practices, handle exceptions, manage files, and understand variables while tackling exercises.
8.
Wrapping Up
1 Lessons
Get familiar with the essence of Pythonic programming and refining your coding skills.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
Trusted by 2.8 million developers working at companies
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Anthony Walker
@_webarchitect_
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