This tutorial reviews three import patterns, demonstrates essential functions of the math, random, and datetime built‑in modules with concrete code examples, combines them in a practical exercise, highlights four common beginner pitfalls with fixes, and provides short post‑lesson tasks.
This article demonstrates eight practical examples of leveraging Python's built‑in command‑line modules—such as -m, telnetlib, http.server, json.tool, idlelib, zipapp, encodings.rot_13, base64, sysconfig, and zipfile—to perform useful tasks without writing any Python source code.
This article demonstrates eight practical techniques for leveraging Python's built‑in command‑line modules—such as telnetlib, http.server, json.tool, idlelib, zipapp, encodings.rot_13, sysconfig, and zipfile—to perform useful tasks without writing any source code, illustrating each with concise commands and screenshots.
This article demonstrates eight practical ways to leverage Python's built‑in modules directly from the command line—such as testing ports, launching a web server, formatting JSON, creating a simple editor, building executable archives, encoding/decoding data, retrieving system metadata, and compressing files—without writing any Python code.
This article explores advanced Python programming techniques, including using properties and descriptors to replace getters/setters, leveraging metaclasses for validation and registration, implementing concurrency with threads, subprocesses, queues, and coroutines, and utilizing built‑in modules such as functools, contextlib, copyreg, datetime, and decimal for robust development.
