Python

Learn to use the with statement for resource management in Python — a practical tutorial with hands-on steps, troubleshooting, and what to study next.

Learn how to create and use generator functions in Python with step-by-step instructions, hands-on exercises, and troubleshooting tips. Perfect for building efficient, memory-friendly iterators.

Master the yield from syntax in Python to efficiently chain generators for data streams. This step-by-step tutorial covers the core concept, practical walkthroughs, and common pitfalls.

Learn to build and use decorators for functions in Python: understand the wrapper pattern, add behavior without modifying the original function, and apply decorators to logging, timing, and authentication. Includes a hands-on exercise and common troubleshooting.

Master Python's lambda expressions — learn the syntax, when to use anonymous functions, and see practical examples. This lesson covers the core concept, step-by-step usage, and common pitfalls. Perfect for intermediate Python developers building functional programming skills.

Learn map, filter, and reduce for data processing in Python — hands-on steps, troubleshooting, and next lesson.

Learn to work with zipped and rotated iterables in Python — practical steps, troubleshooting, and what comes next.

Learn to operate on files with os and pathlib in this hands-on Python tutorial.

Learn how to manage directories in Python using shutil and glob — covering creation, copying, moving, deleting, and pattern matching files for efficient file system operations.

Learn how to parse command-line arguments with argparse in this step-by-step Python tutorial for progressive mastery.

Learn to define and raise custom exception classes in Python to handle errors more specifically and improve code readability.

Learn to use Python assertions for defensive programming. This lesson covers when and how to assert assumptions, prevent bugs early, and includes practical exercises with edge cases.