# Python Data Analysis, 4th Ed (Packt) > Source: > Published: 2026-07-29 16:54:24+00:00 | This book provides an end-to-end approach to Python data analysis. Readers will learn how to move from data preparation and exploratory analysis to machine learning, NLP, image analytics, scalable processing, and AI-powered workflows. Starting with statistical foundations, Avinash Navlan and Cornellius Yudha Wijaya show how to clean, transform, wrangle, and visualize data. The book then explores time series analysis, signal processing, forecasting, and predictive analytics before applying machine learning techniques such as regression, classification, clustering, PCA, probabilistic methods, and Bayesian approaches. The book also covers graph analytics, sentiment analysis, NLP, image analytics, Generative AI, and LLMs. Finally, it looks at how to scale analytics workflows using Dask, Modin, Ray, and PySpark. Author: Avinash Navlan and Cornellius Yudha Wijaya Publisher: Packt Publishing Date: June 2026 Pages: 766 ISBN: 978-1806022878 Print: 1806022877 Kindle: B0DSH15D1V Audience: Python developers Level: Intermediate Category: [Data Science](/bookreviews/218-data-science.html) Topics covered: - Prepare, clean, and transform data for exploratory data analysis and data wrangling - Analyze and visualize data using Python and pandas - Perform time series analysis, forecasting, and signal processing - Apply machine learning with Python using scikit-learn techniques - Use regression, classification, clustering, PCA, and Bayesian methods - Perform sentiment analysis, NLP, graph analytics, and image analytics - Accelerate workflows using Dask, Modin, and Ray - Build scalable big data analytics pipelines with PySpark For recommendations of books on data science see [Reading Your Way Into Big Data](/professional-programmer/183-programmers-bookshelf/9264-roadmap-to-big-data-hadoop-and-spark-from-novice-to-competent.html) in our** **[Programmer's Bookshelf](http://www.i-programmer.info/professional-programmer/programmers-bookshelf.html) section. For recommendations of Python books see [Books for Pythonistas](http://www.i-programmer.info/professional-programmer/programmers-bookshelf/8707-python-books-2.html) and [Python Books For Beginners](http://www.i-programmer.info/professional-programmer/programmers-bookshelf/8699-python-for-pythonistas-and-beginners.html) in our** **[Programmer's Bookshelf](http://www.i-programmer.info/professional-programmer/programmers-bookshelf.html) section. **For more Book Watch just **[click](http://www.i-programmer.info/book-watch-archive.html). *Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. * **To have new titles included in Book Watch contact **[BookWatch@i-programmer.info](mailto:BookWatch@i-programmer.info) Subscribe to I Programmer's [Books RSS feed ](http://www.i-programmer.info/component/ninjarsssyndicator/?feed_id=2&format=raw)for each day's new addition to Book Watch and for new reviews. ** ** [The Nature of Code](/bookreviews/6-graphics/17887-the-nature-of-code.html) Author: Daniel Shiffman Publisher: No Starch Date: September 2024 Pages: 640 ISBN: 978-1718503700 Print: 1718503709 Kindle: B0CG8F2VKM Audience: General Rating: 5 Reviewer: Mike James The nature of code - what is it? | [Programming with Rust](/bookreviews/14-other-languages/17068-programming-with-rust.html) Author: Donis Marshall Publisher: Addison-Wesley Pages: 400 ISBN: 978-0137889655 Print: 0137889658 Kindle: B0CLL1TGVT Audience: Programmers wanting to learn Rust Rating: 3 Reviewer: Mike James Rust is the language we all want to learn at the moment so this is just in time. | | More Reviews | |