Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition

The second edition of "Mastering Python for Finance" seems to have received mixed reviews from customers. While some appreciated the decent coverage of financial concepts and supporting mathematics, others found the book inadequate for learning Python for finance. One major issue noted by customers is the reliance on data providers that no longer offer data used in the examples, with the author directing readers to paid data sources. Additionally, the author seems to lack a good understanding of financial time series, and there are critical program coding missing for API access to popular financial data sources. The book comes with code files that are of type "ipynb" and require the use of Jupyter Notebook, which might be difficult for some readers. Databases such as MySQL or 'kdb' are also missing from the book. However, some recommend using other references to fill in the missing pieces. The book was delivered quickly and arrived in perfect shape, according to one customer.