خرید و دانلود نسخه کامل کتاب Python for Algorithmic Trading: From Idea to Cloud Deployment – Original PDF

This book is for students, academics, and practitioners alike who want to apply Python in the fascinating field of algorithmic trading. The book assumes that the reader has, at least on a fundamental level, background knowledge in both Python programming and in financial trading. For reference and review, the Appendix intro‐ duces important Python, NumPy, matplotlib, and pandas topics. The following are good references to get a sound understanding of the Python topics important for this book. Most readers will benefit from having at least access to Hilpisch (2018) for ref‐ erence. With regard to the machine and deep learning approaches applied to algorith‐ mic trading, Hilpisch (2020) provides a wealth of background information and a larger number of specific examples. Background information about Python as applied to finance, financial data science, and artificial intelligence can be found in the following books: Hilpisch, Yves. 2018. Python for Finance: Mastering Data-Driven Finance. 2nd ed. Sebastopol: O’Reilly. ⸻. 2020. Artificial Intelligence in Finance: A Python-Based Guide. Sebastopol: O’Reilly. McKinney, Wes. 2017. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. 2nd ed. Sebastopol: O’Reilly. Ramalho, Luciano. 2021. Fluent Python: Clear, Concise, and Effective Programming. 2nd ed. Sebastopol: O’Reilly. VanderPlas, Jake. 2016. Python Data Science Handbook: Essential Tools for Working with Data. Sebastopol: O’Reilly