tools (jsyoo61/tools)

1.0.26 · active · verified Sat Apr 11

A Python library providing various syntax tools for faster programming. It includes utility functions for common tasks like data serialization (pickle), and structured modules for API-dependent tools. The current version is 1.0.26, and it appears to have an irregular release cadence, with the latest release on March 26, 2026. The project is primarily maintained by jsyoo61.

Warnings

gotcha The library is largely undocumented externally. Users are advised to inspect the source code directly or use Python's `help()` function for details on specific functions and modules.
Fix: Use `help(tools.function_name)` or examine the GitHub repository for function signatures and inline comments.
gotcha The package name 'tools' is very generic, which might lead to naming conflicts or confusion with other utilities or standard library modules if not imported with an alias or carefully managed.
Fix: Always import with an alias, e.g., `import tools as T`, to clearly distinguish its functions.
breaking The project's GitHub README mentions that the `tools` package was replaced on 2025.04.28, implying potential breaking changes or a complete change in functionality for users expecting older 'web scraping tools'. This registry entry focuses on the current 'python syntax tool' version 1.0.26.
Fix: Verify the installed version and refer to the GitHub repository for specific changes if migrating from an older 'tools' package, especially if it was related to web scraping. The current version (1.0.26) is a 'python syntax tool'.

Install

pip install tools PyPI

Imports

T
```
import tools as T
```
The documentation and examples frequently use 'T' as an alias for the 'tools' module for brevity and easy access to its functions.
save_pickle
```
import tools as T
T.save_pickle(data, 'data.p')
```
While direct import might work, the library's structure encourages importing the main 'tools' module and accessing functions via its alias (e.g., T.save_pickle). The most useful functions are loaded to the main module by default, but internal structure is `tools.tools` for some functions.

Quickstart

This quickstart demonstrates how to import the `tools` library using the common alias `T` and utilize basic functionality like pickling data. It also illustrates how to conceptually access API-dependent sub-modules, although their specific usage requires consulting the inline code documentation.

import tools as T

# Example: Save and load data using pickle
data_to_save = {'key': 'value', 'number': 123}
T.save_pickle(data_to_save, 'my_data.p')
loaded_data = T.load_pickle('my_data.p')
print(f"Loaded data: {loaded_data}")

# Example: Accessing API-dependent tools (conceptual, actual usage depends on specific sub-module)
# if hasattr(T, 'torch'):
#     print('Torch tools are available')
#     # e.g., T.torch.optim.SomeOptimizer()

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