Suntzu 1.0.1

Data Science Library that makes simple data analysis tasks

SunTzu

SunTzu is a simple Python library that built on top of pandas and numpy to make simple pre data analysis procedures. Like:

• Finding optimal dtypes for each column
• Quickly see memory usage
• Turn 2-value columns into bool to save memory
• Quickly see max, min, null, unique values of your dataframe

📑 Table of Contents

• How to install it
• Inside the Project
  • What I learned
  • Libraries Used
• License
• Credits

📦 How to install it?

Currently, you can find:

• Source code: GitHub Repository
• Documentation: Read the Docs
• Latest Versions: PyPI

To install it open your terminal with Python installed and use:

pip install suntzu

If you want to install a specific version use:

pip install suntzu==specific_version

🔧 Inside The Project

This project was my 12th grade final project. I chose to build it to explore how Python packages are created. It was an ambitious project and I learned a lot throughout the process. In the end, it received the highest possible grade.

📚 What I Learned

• OOP Concepts
• Python Package Distribution
• Creating documention for Python Packages

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💻 Technologies Used

• pandas
• numpy

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🚀 Future Steps

This project was later revamped. The original version had a poor OOP structure and accessing the functions was much harder than it should’ve been. It also included visualization and metadata features, which I decided to split into separate libraries. Once those libraries are finished, I’ll link them here.

📜 License

MIT

🙌 Credits

• This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.