speedy-utils 0.0.1

Fast and easy-to-use package for data science

from speedy_utils

from speedy_utils is a fast and easy-to-use package for data science, designed to streamline various common tasks in Python programming and data analysis.

Features

• Efficient utilities for caching and memoization.
• Handy functions for IO operations like JSON and pickle handling.
• Tools to assist with multi-threading and multi-processing tasks.
• Well-documented and easy to use.

Installation

You can install speedy-utils via pip:

pip install speedy-utils

Requirements

This package requires Python 3.6 or higher and the following packages:

• numpy
• requests
• xxhash
• loguru
• fastcore
• debugpy
• ipywidgets
• jupyterlab
• ipdb
• scikit-learn
• matplotlib
• pandas
• tabulate
• pydantic

These will be installed automatically when you install speedy-utils.

Usage

Here’s a quick example of how to use the features of speedy-utils.

Example: Using the Clock

from speedy_utils import Clock

# Create an instance of Clock
clock = Clock()

# Start the clock
clock.start()

# ... some time-consuming operations ...

# Stop the clock
elapsed_time = clock.stop()
print(f'Time taken: {elapsed_time} seconds')

Example: Using Memoization

from speedy_utils import memoize

@memoize
def expensive_function(arg):
    # Simulate an expensive operation
    return arg * 2

result = expensive_function(10)
print(result)  # 20

Contributing

Contributions are welcome! If you’d like to contribute, please fork the repository and submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

AnhVTH

• Email: [e-mail]
• GitHub: anhvth

### Notes on Modifications

- Make sure to adjust any sections based on the specific features or functionalities of your package that you want to highlight.
- If you have a `LICENSE` file in your project, you can link to it properly in the License section.
- Feel free to add additional sections like "Testing" or "FAQ" if you think they would be useful for users.