Supercharging Python Functions with @cache
Learn how Python's @functools.cache decorator can speed up repeated function calls by automatically memoizing results, with real-world examples and best practices for avoiding common pitfalls.
Learn how Python's @functools.cache decorator can speed up repeated function calls by automatically memoizing results, with real-world examples and best practices for avoiding common pitfalls.
Learn why Python's `__del__` destructor is unreliable for resource cleanup and discover safer alternatives like context managers, explicit close methods, and weakref callbacks.
pdb++ upgrades Python's built-in debugger with syntax highlighting, sticky mode, better tracebacks, and smart tab completion. Learn how to install it and use it to debug faster and …
Learn what __init__.py does, how it turns folders into packages, and how to use it to control imports, run initialization code, and simplify your Python package APIs.
Understand what happens between your Python source code and the machine: bytecode compilation, the Python Virtual Machine, and why it matters for performance and debugging.
Learn what circular imports are in Python, how they cause ImportError and AttributeError, and the best ways to fix them — from lazy imports to module restructuring.
Learn how the __call__ dunder method turns any Python object into a callable, letting you use object instances like functions for cleaner, more expressive code.
Understand the key difference between Python's __new__ and __init__ methods: __new__ creates objects, __init__ initializes them. Learn when to use each with real code examples.
Learn how dependency injection makes Python code more testable, maintainable, and easier to change. See practical examples of passing dependencies instead of creating them inside classes.
Blocking the entire thread with time.sleep makes your Python programs brittle and unresponsive. Learn why it's a red flag and what better patterns to use instead.
Learn how to use Python's pathlib module to handle file paths, read and write files, and traverse directories with clean, object-oriented code instead of string manipulation.
Discover how Python dataclasses eliminate boilerplate code for data-holding classes. Learn to use frozen, order, and asdict features with practical examples.