Welcome to my intermediate Python project! This repository showcases my work using various Python libraries to solve complex problems and visualize data. Below you’ll find information about the frameworks and tools used, and how you can run the code natively on your machine.
This project includes several Python scripts and notebooks that demonstrate data analysis, visualization, and more advanced Python concepts. Whether you’re interested in numerical computations, data manipulation, or plotting, this repository has something for you.
This project leverages the following frameworks and libraries:
Python is a powerful, high-level programming language that’s great for a wide range of applications, from web development to data science.
NumPy is a fundamental package for scientific computing in Python, providing support for large, multi-dimensional arrays and matrices.
Pandas is a fast, powerful, flexible, and easy-to-use data analysis and manipulation library.
Matplotlib is a plotting library for Python and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications.
To work with this project, you can use any of the following IDEs or text editors:
Visual Studio Code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS, and Linux.
PyCharm is an IDE for Python development, providing code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django.
Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
To run the code natively on your machine, follow these steps:
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Clone the Repository:
git clone https://github.com/rayy1704/intermediate-python-practice.git cd your-directory -
Set Up a Virtual Environment:
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate`
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Install Dependencies:
pip install -r requirements.txt
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Run Python Scripts:
To run any Python script, use:
python script_name.py
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Run Jupyter Notebooks:
If you’re working with Jupyter notebooks:
jupyter notebook
Contributions are welcome! If you’d like to contribute to this project, please fork the repository and use a feature branch. Pull requests are warmly welcome.
This project is licensed under the MIT License - see the LICENSE file for details.