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Description
This book provides both conceptual knowledge of quantitative finance and a hands-on approach to using Python. It begins with a description of concepts prior to the application of Python with the purpose of understanding how to compute and interpret results. This book offers practical applications in the field of finance concerning Python, a language that is more and more relevant in the financial arena due to big data. This will lead to a better understanding of finance as it gives a descriptive process for students, academics and practitioners.
Table of Contents
1. How to use python?.- 2. Using data structures in Python.- 3. Using Data in Python.- 4. Descriptive statistics using Python.- 5. Statistical approach to multiple variables.- 6. Comparing stocks between companies.- 7. Porfolio and Risk.- 8. Value at Risk.
