A list of Python libraries that helped the author improve their automation scripts and turn duct-tape code into something trustworthy.
* **pathlib:** Simplifies file path manipulation, making it cross-platform compatible and more readable.
* **tenacity:** Provides a decorator for automatically retrying failed operations (like API calls) with configurable settings.
* **rich:** Enhances logging with features like progress bars, colored output, and detailed tracebacks for better observability.
* **schedule:** A more readable alternative to cron for scheduling tasks in Python.
* **pydantic:** Enforces data validation, ensuring inputs conform to expected types and structures.
* **python-dotenv:** Manages environment variables, keeping sensitive information (like API keys) separate from code.
* **loguru:** A streamlined logging library that requires minimal configuration.
* **watchdog:** Monitors filesystem changes and triggers actions based on those changes (event-driven automation).
* **typer:** Creates command-line interfaces (CLIs) for Python scripts, making them more user-friendly as tools.
* **pathlib:** Simplifies file path manipulation, making it cross-platform compatible and more readable.
* **tenacity:** Provides a decorator for automatically retrying failed operations (like API calls) with configurable settings.
* **rich:** Enhances logging with features like progress bars, colored output, and detailed tracebacks for better observability.
* **schedule:** A more readable alternative to cron for scheduling tasks in Python.
* **pydantic:** Enforces data validation, ensuring inputs conform to expected types and structures.
* **python-dotenv:** Manages environment variables, keeping sensitive information (like API keys) separate from code.
* **loguru:** A streamlined logging library that requires minimal configuration.
* **watchdog:** Monitors filesystem changes and triggers actions based on those changes (event-driven automation).
* **typer:** Creates command-line interfaces (CLIs) for Python scripts, making them more user-friendly as tools.
A list of 10 Python libraries that can improve your workflow and make coding easier.
1. **boltons:** Collection of useful Python utilities, filling gaps in the standard library.
2. **tenacity:** Elegant retrying mechanism for functions that might fail.
3. **diskcache:** Persistent caching system backed by a disk (SQLite).
4. **glom:** Toolkit for easily accessing nested data structures (like JSON).
5. **tqdm.contrib.concurrent:** Multi-threaded progress bars using `tqdm`.
6. **anyio:** Compatibility layer for asynchronous Python code across different libraries.
7. **deepdiff:** Detects differences between Python objects (dicts, lists, etc.).
8. **pyrsistent:** Immutable data structures for functional programming.
9. **structlog:** Library for creating structured, parseable logs.
10. **pyinstrument:** Python profiler that generates flamegraphs for performance analysis.
1. **boltons:** Collection of useful Python utilities, filling gaps in the standard library.
2. **tenacity:** Elegant retrying mechanism for functions that might fail.
3. **diskcache:** Persistent caching system backed by a disk (SQLite).
4. **glom:** Toolkit for easily accessing nested data structures (like JSON).
5. **tqdm.contrib.concurrent:** Multi-threaded progress bars using `tqdm`.
6. **anyio:** Compatibility layer for asynchronous Python code across different libraries.
7. **deepdiff:** Detects differences between Python objects (dicts, lists, etc.).
8. **pyrsistent:** Immutable data structures for functional programming.
9. **structlog:** Library for creating structured, parseable logs.
10. **pyinstrument:** Python profiler that generates flamegraphs for performance analysis.
This article explores ten underrated Python libraries that can help automate tasks, debug faster, and improve coding efficiency.
- **Rich**: Terminal beautification
- **PyWhatKit**: Automation tasks
- **Pydantic**: Data validation
- **Black**: Code formatting
- **HTTPie**: API testing
- **Typer**: Building CLI applications
- **IceCream**: Debugging
- **Poetry**: Package management
- **Faker**: Generating fake data
- **Pyppeteer**: Browser automation
- **Rich**: Terminal beautification
- **PyWhatKit**: Automation tasks
- **Pydantic**: Data validation
- **Black**: Code formatting
- **HTTPie**: API testing
- **Typer**: Building CLI applications
- **IceCream**: Debugging
- **Poetry**: Package management
- **Faker**: Generating fake data
- **Pyppeteer**: Browser automation
