Introduction to Python - Data Science, Quantitative Finance (2.0) by Lilan Li
Requirements: .ePUB, .PDF reader, 6 MB
Overview: It is a book for both beginners and experienced professionals who either have a relevant educational background or are interested in learning Python under the data science or quantitative finance background.
No prior experience in Python is required. It is a practical book complete with working code that guides the reader through the basics of Python. Topics are introduced gradually, each building on the last. The examples are either run in a command line or an editor. Jupyter notebook examples are presented in later part of the book where mathematical models and data analysis of time series are introduced.
Genre: Non-Fiction > Tech & Devices

Download Instructions:
https://userupload.net/mniyw3lo7wtu
https://dropgalaxy.vip/kqqlv31nyye5
Trouble downloading? Read This.
Requirements: .ePUB, .PDF reader, 6 MB
Overview: It is a book for both beginners and experienced professionals who either have a relevant educational background or are interested in learning Python under the data science or quantitative finance background.
No prior experience in Python is required. It is a practical book complete with working code that guides the reader through the basics of Python. Topics are introduced gradually, each building on the last. The examples are either run in a command line or an editor. Jupyter notebook examples are presented in later part of the book where mathematical models and data analysis of time series are introduced.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/mniyw3lo7wtu
https://dropgalaxy.vip/kqqlv31nyye5
Trouble downloading? Read This.