Python for Finance: Mastering Data-Driven Finance Paperback – Illustrated, 29 Jan. 2019

**** "Python for Finance 2e: Mastering Data-Driven Finance" has garnered solid acclaim from readers, appreciated primarily for its practical approach and its depth of examples that can be replicated in Jupyter Notebook. Many reviewers praise it as a brilliant resource and often keep it on their desks, suggesting its relevance and utility in day-to-day financial analysis work. The book offers an engaging exploration of data-driven finance, targeting individuals with a foundational grasp of statistics and Python programming. However, reader feedback also highlights some limitations. The introductory chapters on Python are notably brief, making it less suitable for complete beginners looking to learn the language from scratch. Those with only a rudimentary understanding may find the book's quick treatment of Python concepts as problematic, particularly when navigating through complex financial simulations later in the text. Reviewers mention that while the book offers some innovative ideas, the lack of detailed explanations in certain sections can lead to confusion, especially for those not already well-versed in the subject matter. Some coding examples may require additional effort to fully comprehend, and the possibility for code misuse without clear guidance is a point of concern. Overall, while "Python for Finance 2e" is recognized for its practical applications and solid code examples that enhance its value, readers should approach it with prior knowledge of both finance and programming to make the most of its offerings. **