Hands-on EDA tutorials, recipes, and notebooks — a practical Python cookbook for data analysts and AI practitioners.
This cookbook is a comprehensive, hands-on guide to Exploratory Data Analysis (EDA) using Python. Curated and maintained by HERE AND NOW AI, it provides practical recipes for data exploration, visualization, and statistical analysis that every data scientist and AI practitioner should master.
The cookbook covers data loading, profiling, cleaning, visualization with matplotlib and seaborn, statistical summaries, correlation analysis, and feature engineering foundations — all in Jupyter notebooks with rich explanations.
HERE AND NOW AI uses and recommends this cookbook in its professional training programs to build strong data intuition — because good AI starts with understanding your data.
- Step-by-step EDA recipes in Jupyter notebooks
- Data profiling and summary statistics
- Visualization with matplotlib, seaborn, and plotly
- Correlation and distribution analysis
- Missing value and outlier exploration
- Feature engineering starters
- Real-world dataset examples
- Python 3.9+
- Jupyter Notebook or JupyterLab
git clone https://github.com/hereandnowai/exploratory-data-analysis-with-python-cookbook.git
cd exploratory-data-analysis-with-python-cookbook
pip install -r requirements.txt
jupyter notebookOpen any notebook in the repository and follow the step-by-step EDA recipes. Each notebook is self-contained with explanations and executable code.
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