What you'll learn

Plain lists, dicts, and strings are where most Python code begins, and before long it fills with hand-built counting loops, lists pinning whole files in memory, string-glued paths, and dict records that let one misspelled key fail at runtime and nowhere earlier. In this course, Python Standard Library Power Tools: Beyond the Basics, you’ll gain the ability to swap that code for the specialized tools that already ship with Python, without adding a single third-party dependency. First, you’ll explore how Counter, defaultdict, and deque from the collections module take over counting, grouping, and windowing loops. Next, you’ll discover ways to build memory-efficient data pipelines with itertools that chew through large files in flat memory, along with pathlib, which replaces os.path strings when handling files and folders across operating systems. Finally, you’ll learn how to shape data models with dataclasses, keeping boilerplate low and type hints strict, and how to verify the refactors an AI coding assistant like Claude Code produces with golden tests and mypy. When you’re finished with this course, you’ll have the skills and knowledge of Python’s standard library power tools needed to write cleaner, faster, lower-memory code for everyday data and file work.