Sharing Python, Numpy, Pandas, Matplotlib and Seaborn Exercises!
I created notes with Python and Python's libraries like Matplotlib and Seaborn. I wanted to share these exercises to contribute to those who wish to progress in Python.
I hope these notes will help you to improve your analysing and visualisation skills and be useful for other learners like you. I look forward to your comments and feedback!
This repository contains comprehensive notes and practical exercises for various Python libraries used in data analysis and visualization. Each section includes detailed lesson notes, a master notebook, and hands-on practices.
This repository aims to provide a detailed and practical guide to using Python libraries for data analysis and visualization. It covers a range of libraries, including pandas, numpy, matplotlib, seaborn, and more.
- Python: Notes and hands-on practices for Python programming.
- pandas: Notes, master notebook, and hands-on practices for data manipulation and analysis with pandas.
- Numpy: Notes, master notebook, and hands-on practices for numerical operations with numpy.
- Matplotlib: Notes, master notebook, and hands-on practices for data visualization with matplotlib.
- Seaborn: Notes, master notebook, and hands-on practices for statistical data visualization with seaborn.
- Other Libraries: Additional libraries and tools for data analysis and visualization.
- Clone the repository to your local machine:
git clone https://github.com/Duygu-Jones/Python-for-Data-Analysis-and-Visualisation.git
- Browse the folders to find the relevant notes, master notebooks, and hands-on practices.
- Follow the instructions within each file to enhance your skills in data analysis and visualization using Python.
Contributions are welcome! If you have any improvements, suggestions, or additional information to share, please fork the repository and create a pull request.
I'm Duygu Jones, a Data Scientist, passionate about data visualization, analysis, and machine learning.
♻️ You can find more about me and my work through the following links:
- Linkedin: Linkedin/duygujones
- Website: duygujones.com
- Kaggle: kaggle.com/duygujones
- GitHub: github.com/Duygu-Jones
- Medium: medium.com/@duygujones
- Tableau Public: Duygu Jones on Tableau Public
🌐Feel free to connect with me!
🎯 Boost your exploratory data analysis skills,
💡 Share your insights with the community,
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Code with joy! 👩💻✨