Unlock Hidden Python Tricks: Variable Arguments, Glob, Debugging, UUID, Serialization & More
This article reveals several lesser‑known Python features—including functions that accept arbitrary arguments, powerful file searching with glob, debugging with inspect, generating unique IDs via uuid, data serialization, string compression, and registering shutdown hooks—providing practical code examples for each.
Functions with Arbitrary Number of Arguments
Python not only supports optional parameters but also lets you define functions that accept any number of positional or keyword arguments using *args and **kwargs. An example demonstrates how a tuple can capture these extra values.
Using glob() to Find Files
The glob() function works like an enhanced listdir(), allowing pattern‑based file searches. You can retrieve multiple file types with a single call and obtain absolute paths by applying os.path.realpath() to the results.
Debugging with the inspect Module
The inspect module provides powerful introspection tools useful for debugging. While the article does not cover every feature, it shows practical use‑cases for examining stack frames and source code.
Generating Unique IDs
Instead of misusing md5(), Python offers the uuid module to create universally unique identifiers. The generated strings incorporate the host’s MAC address, which can lead to similar trailing characters; using additional functions can reduce collisions.
Serialization
Python provides native serialization (e.g., pickle) for storing complex objects, but JSON has become popular for its compactness and cross‑language compatibility. Converting objects to JSON is straightforward, though some information may be lost for very complex types.
Compressing Characters
Beyond file compression formats like ZIP, Python can compress long strings directly using modules such as zlib, allowing efficient storage without creating separate archive files.
Registering Shutdown Functions
The atexit module lets you register callbacks that run when a script terminates, regardless of whether it ends normally, encounters a fatal error, or is interrupted. This ensures cleanup or benchmarking code always executes.
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