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Built-in Modules

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Python Programming Learning Circle
Python Programming Learning Circle
Jun 1, 2024 · Fundamentals

Eight Ways to Use Python Built‑in Modules Without Writing Code

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.

Built-in ModulesCLINo-code
0 likes · 11 min read
Eight Ways to Use Python Built‑in Modules Without Writing Code
Python Programming Learning Circle
Python Programming Learning Circle
Dec 6, 2023 · Fundamentals

Eight Ways to Use Python Built‑in Modules Without Writing 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.

Built-in ModulesCLINo-code
0 likes · 11 min read
Eight Ways to Use Python Built‑in Modules Without Writing Code
Python Programming Learning Circle
Python Programming Learning Circle
Feb 21, 2022 · Fundamentals

Eight No‑Code Features in Python: Using Built‑in Modules via the CLI

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.

Built-in ModulesCLICommand-line
0 likes · 10 min read
Eight No‑Code Features in Python: Using Built‑in Modules via the CLI
Python Programming Learning Circle
Python Programming Learning Circle
Mar 12, 2020 · Fundamentals

Python Advanced Topics: Properties, Descriptors, Metaclasses, Concurrency, and Built‑in Modules

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.

AdvancedBuilt-in ModulesConcurrency
0 likes · 16 min read
Python Advanced Topics: Properties, Descriptors, Metaclasses, Concurrency, and Built‑in Modules