Python for Data Analysis 🚀

Welcome to the Python for Data Analysis Resources repository!

This curated list of resources is designed to help you learn and master Python for data analysis.

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Name		Name	Last commit message	Last commit date
Latest commit History 41 Commits
data		data
1. NumPy - Introduction.ipynb		1. NumPy - Introduction.ipynb
1.1. NumPy - practice exercises.ipynb		1.1. NumPy - practice exercises.ipynb
2. Pandas - Series Introduction.ipynb		2. Pandas - Series Introduction.ipynb
2.1. Pandas Series - Practice exercises.ipynb		2.1. Pandas Series - Practice exercises.ipynb
2.2. Pandas - DataFrames Introduction.ipynb		2.2. Pandas - DataFrames Introduction.ipynb
2.3. Pandas DataFrames - Practice exercises.ipynb		2.3. Pandas DataFrames - Practice exercises.ipynb
2.4. Pandas - Reading CSV and Basic Plotting.ipynb		2.4. Pandas - Reading CSV and Basic Plotting.ipynb
3. Missing Data.ipynb		3. Missing Data.ipynb
3.1. Handling Missing Data with Pandas.ipynb		3.1. Handling Missing Data with Pandas.ipynb
3.2. Cleaning Not Null Values.ipynb		3.2. Cleaning Not Null Values.ipynb
4. Visualizations.ipynb		4. Visualizations.ipynb
5. Reading data - Introduction.ipynb		5. Reading data - Introduction.ipynb
5.1 Reading Data - From relational databases.ipynb		5.1 Reading Data - From relational databases.ipynb
5.2 Reading Data - From HTML.ipynb		5.2 Reading Data - From HTML.ipynb
README.md		README.md