- Master Python with tutorials and tips on CodeStips.
List comprehensions in Python create new lists by applying expressions to iterables with optional conditions, making code more readable and efficient.
Learn to use Python's logging levels effectively to streamline debugging and gain deeper insights into app behavior across environments.
Python packages are directories that organize related modules, making it easy to reuse code, share functionality, and structure your own projects effectively.
Learn key Python idioms for clearer, efficient, and more maintainable code, including elegant iteration and looping techniques.
Redis and Memcached are both fast in-memory data stores used to improve app performance. Redis offers more data structures and persistence, while Memcached is simpler and ideal for basic caching.
Using __slots__
in Python reduces memory by preventing dynamic attribute storage in __dict__
, optimizing performance for classes with many instances.
Use Python's built-in timeit module for accurate, reliable benchmarking by running code multiple times to minimize system noise and deliver precise performance measurements.
Master Python best practices to write clean, maintainable, and efficient code, transforming confusing scripts into well-structured, professional programs.
Class docstrings should clearly explain the class's purpose, usage, and key methods to help developers understand and use it effectively.
Learn to write effective module docstrings to improve code documentation and usability. Essential for clear module descriptions and helpful user guidance.