Python Finance

Listed Volatility and Variance Derivatives: A Python-based Guide  eBooks & eLearning

Posted by Underaglassmoon at Nov. 16, 2016
Listed Volatility and Variance Derivatives: A Python-based Guide

Listed Volatility and Variance Derivatives: A Python-based Guide
Wiley | Finance | November 30, 2016 | ISBN-10: 1119167914 | 368 pages | pdf | 9.53 mb

by Yves Hilpisch (Author)

A Primer on Scientific Programming with Python  eBooks & eLearning

Posted by tanas.olesya at April 4, 2016
A Primer on Scientific Programming with Python

A Primer on Scientific Programming with Python by Hans Petter Langtangen
English | 4 Aug. 2009 | ISBN: 3642024742 | 726 Pages | PDF | 6 MB

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance.

Python for Finance (Repost)  eBooks & eLearning

Posted by bookwyrm at March 10, 2016
Python for Finance (Repost)

Python for Finance By Yuxing Yan
2014 | 408 Pages | ISBN: 1783284374 | EPUB + MOBI | 10 MB + 15 MB

Python for Quants. Volume I.  

Posted by AlenMiler at Dec. 17, 2015
Python for Quants. Volume I.

Python for Quants. Volume I. by Pawel Lachowicz
English | 5 Dec. 2015 | ASIN: B019002TSQ | 235 Pages | AZW4/PDF | 15.63 MB

Python for Quants is the first book-series in the market that takes you from the absolute beginner level in Python programming towards instant applications in Quantitative Analysis, Mathematics, Statistics, Data Analysis, Finance, and Algo Trading.

Mastering Python for Finance  

Posted by AlenMiler at July 31, 2015
Mastering Python for Finance

Mastering Python for Finance by James Ma Weiming
English | May 29, 2015 | ISBN: 1784394513 | 292 Pages | EPUB/MOBI/PDF (True) | 30.41 MB

Built initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development.

Mastering Pandas for Finance  

Posted by AlenMiler at July 31, 2015
Mastering Pandas for Finance

Mastering Pandas for Finance by Michael Heydt
English | May 29, 2015 | ISBN: 1783985100 | 259 Pages | EPUB/MOBI/PDF (True) | 38.42 MB

This book will teach you to use Python and the Python Data Analysis Library (pandas) to solve real-world financial problems.

Python for Finance: Analyze Big Financial Data  

Posted by nebulae at Jan. 15, 2015
Python for Finance: Analyze Big Financial Data

Yves Hilpisch, "Python for Finance: Analyze Big Financial Data"
English | ISBN: 1491945281 | 2015 | 606 pages | True PDF | 10 MB

Python for Finance: Analyze Big Financial Data  

Posted by AlenMiler at Dec. 14, 2014
Python for Finance: Analyze Big Financial Data

Python for Finance: Analyze Big Financial Data by
English | December 10, 2014 | ISBN: 1491945281 | ASIN: B00QUBHNBW | 596 Pages | EPUB/MOBI/AZW3/PDF (Converted) | 35 MB

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems.

Python for Finance  

Posted by enmoys at July 2, 2014
Python for Finance

Python for Finance By Yuxing Yan
2014 | 408 Pages | ISBN: 1783284374 | EPUB + MOBI | 10 MB + 15 MB

A Primer on Scientific Programming with Python  

Posted by AlenMiler at June 20, 2014
A Primer on Scientific Programming with Python

A Primer on Scientific Programming with Python by Hans Petter Langtangen
Springer | June 28 2011 | ISBN: 3642183654 | Pages: 736 | PDF | 4.96 MB

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background, and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.