Unlock the power of big data with "Data Analysis with Python and PySpark" by Jonathan Rioux. This comprehensive guide teaches you how to manage and scale your data programs with confidence using PySpark, the Python interface for the powerful Spark big data processing engine. Learn to seamlessly scale data tasks across multiple machines, create lightning-fast pipelines, and handle messy data with PySpark’s robust manipulation functionality. Discover new datasets, perform exploratory data analysis, and build automated data pipelines for reporting, machine learning, and more. Key benefits include: * Mastering data management for datasets of any size. * Scaling data programs with full confidence. * Reading and writing data from diverse sources and formats. * Troubleshooting common PySpark errors. * Creating reliable, long-running data jobs. This practical book is packed with relevant examples and essential techniques, making it ideal for data scientists and engineers comfortable with Python. No prior Spark knowledge is required. The purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats. Summary: Data Analysis with Python and PySpark, Manning Publications, Paperback, English, 456 pages, Jonathan Rioux, ISBN 9781617297205.