đź“Š New Release from DeepSim Press
Practical Data Analysis and Visualization with Python presents a structured, hands-on approach to modern data workflows—from raw data to actionable insight.
This title covers:
– Data cleaning and transformation
– Exploratory data analysis (EDA)
– Visualization with Matplotlib, Seaborn, hvPlot, and Lets-Plot
– High-performance tools including Pandas, Polars, and PySpark
– Efficient data processing with Parquet and Apache Arrow
– Analytical querying with DuckDB
– Interactive dashboards using Streamlit
Designed for students, analysts, and developers, this book emphasizes practical workflows, performance, and clarity, and serves as a strong foundation for machine learning and advanced modeling.
