Posted by **AlenMiler** at July 22, 2016

English | 7 Aug. 2016 | ISBN: 3319283154 | 298 Pages | PDF (True) | 4.58 MB

This textbook provides an introduction to the free software Python and its use for statistical data analysis.

Posted by **tanas.olesya** at April 4, 2016

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.

Posted by **Underaglassmoon** at March 25, 2016

Springer | Signals & Communication | April 11, 2016 | ISBN-10: 3319307150 | 276 pages | pdf | 7.1 mb

Authors: Unpingco, José

Connects to key open-source Python communities and corresponding modules focused on the latest developments in this area

Outlines probability, statistics, and machine learning concepts using an intuitive visual approach, backed up with corresponding visualization codes

Posted by **AlenMiler** at Jan. 7, 2016

English | Dec. 30, 2015 | ISBN: 1785885995 | 172 Pages | MOBI/EPUB/PDF (True) | 8.35 MB

Python is a versatile programming language that can be used for a wide range of technical tasks―computation, statistics, data analysis, game development, and more.

Posted by **AlenMiler** at Dec. 17, 2015

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.

Posted by **AlenMiler** at Sept. 17, 2015

English | 6 Sept. 2015 | ISBN: 1593276400 | 264 Pages | EPUB/MOBI/PDF (True) | 63.27 MB

Doing Math with Python shows you how to use Python to delve into high school—level math topics like statistics, geometry, probability, and calculus. You'll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you've gotten the hang of things.

Posted by **tanas.olesya** at May 25, 2015

English | Feb 3, 2000 | ISBN: 1565926218 | 652 Pages | CHM | 4 MB

Python is growing in popularity; based on download statistics, there are now over 450,000 people using Python, and more than 150,000 people using Python on Windows. Use of the language has been growing at about 40% per year since 1995, and there is every reason to believe that growth will continue.

Posted by **manamba13** at March 1, 2015

English | 2014 | ISBN: 0691151687 | 559 Pages | PDF | 103 MB

As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects.

Posted by **ChrisRedfield** at Feb. 26, 2015

Published: 2014-01-12 | ISBN: 0691151687 | PDF | 552 pages | 102 MB

Posted by **AlenMiler** at June 20, 2014

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.