AI-powered learning
Save this course
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.
4.4
35 Lessons
5h
Updated 3 months ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- 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
Learning Roadmap
2.
Documentation Tips
Documentation Tips
Unpack the core of Pythonic documentation with effective formatting, identifiers, docstrings, and clear coding conventions.
3.
General Tips
General Tips
6 Lessons
6 Lessons
Examine Pythonic programming tips for comparisons, loops, strings, files, serialization, and performance challenges.
4.
Data Types and Data Structures Tips
Data Types and Data Structures Tips
5 Lessons
5 Lessons
Grasp the fundamentals of Pythonic data structures, modules, counting methods, and advanced numeric handling techniques.
5.
Function Tips
Function Tips
4 Lessons
4 Lessons
Solve problems in optimizing Python function calls, returns, generators, and inner functions.
6.
Performance Tips
Performance Tips
5 Lessons
5 Lessons
Tackle performance, memory, imports, and string handling techniques to optimize Python projects.
7.
Safety Tips
Safety Tips
9 Lessons
9 Lessons
Master safe practices, handle exceptions, manage files, and understand variables while tackling exercises.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
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.
ABOUT THE AUTHOR
The Pragmatic Programmers
We create timely, practical books and learning resources on classic and cutting-edge topics to help you practice your craft and accelerate your career.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
Built for 10x Developers
No Passive Learning
Learn by building with project-based lessons and in-browser code editor
Personalized Roadmaps
The platform adapts to your strengths & skills gaps as you go
Future-proof Your Career
Get hands-on with in-demand skills
AI Code Mentor
Write better code with AI feedback, smart debugging, and "Ask AI"
MAANG+ Interview Prep
AI Mock Interviews simulate every technical loop at top companies
Free Resources
