Practical Data Analysis and Visualization with Python” by Dr. Shouke Wei is a comprehensive, hands-on guide that takes readers through the full modern data analysis workflow—from raw data ingestion and preparation to insightful exploration, advanced visualization, and scalable processing. The book emphasizes practical Python tools including NumPy, Pandas, Matplotlib, Seaborn, hvPlot, Polars, PySpark, and more, while covering data cleaning, EDA, interactive dashboards, Parquet formats, and end-to-end case studies. Ideal for beginners and practitioners, it bridges theory and real-world application without diving into machine learning, making it a foundational resource for building efficient, reproducible data pipelines in science, engineering, business, and technology.
Key Features:
- Clear, structured coverage of the entire data analysis pipeline (preparation, exploration, visualization, scalable processing)
- Hands-on focus with modern Python libraries: Pandas, Polars, Matplotlib, Seaborn, hvPlot, Lets-Plot, PySpark, DuckDB & more
- Advanced visualization techniques including interactive dashboards and categorical charts
- Emphasis on scalable, high-performance data processing for large datasets
- Practical case studies and reproducible workflows
- Part of a 3-book series on Practical Data Science with Python