Python Package developped by myself and published on PyPI
DataNinja is designed to streamline the data analysis process. Instead of managing multiple imports for various data analysis tasks, DataNinja allows you to import just one package. It integrates essential functionalities from multiple libraries into a unified, user-friendly API. Whether you’re handling dataframes, performing data manipulation, or creating visualizations, DataNinja simplifies your workflow by consolidating these tasks into a single tool.
Creating and publishing a package involved several steps:
- Designing the Package: Defined the core functionality and features to streamline data analysis tasks.
- Development: Wrote clean, efficient code, and integrated essential features from various libraries into one package.
- Testing: Thoroughly tested the package to ensure reliability and performance.
- Documentation: Crafted comprehensive documentation and a user-friendly - README to help users get started.
- Publishing: Used tools like twine and setuptools to upload the package to PyPI, making it available for the community to use and contribute to.
CV MADE WITH POWER BI
CASINOS ANALYSIS
WORLD HAPINNESS ANALYSIS EDA ON PYTHON
WHO AM I ?
I am a passionate and dedicated Junior Data Analyst with a strong background in accounting and team leadership. My diverse professional experiences have equipped me with a unique blend of analytical, technical, and management skills. I thrive in collaborative environments and am committed to leveraging my skills in SQL, Python, and data visualization to drive impactful insights and solutions.
https://github.com/ShelbyTO
Créez votre propre site internet avec Webador