Statistics Python

An Introduction to Statistics with Python  eBooks & eLearning

Posted by AlenMiler at July 22, 2016
An Introduction to Statistics with Python

An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing) by Thomas Haslwanter
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.

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 Probability, Statistics, and Machine Learning  eBooks & eLearning

Posted by Underaglassmoon at March 25, 2016
Python for Probability, Statistics, and Machine Learning

Python for Probability, Statistics, and Machine Learning
Springer | Signals & Communication | April 11, 2016 | ISBN-10: 3319307150 | 276 pages | pdf | 7.1 mb

Authors: Unpingco, José
Explains how to simulate, conceptualize, and visualize random statistical processes and apply machine learning methods
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

Python Unlocked  

Posted by AlenMiler at Jan. 7, 2016
Python Unlocked

Python Unlocked by Arun Tigeraniya
English | Dec. 30, 2015 | ISBN: 1785885995 | 172 Pages | MOBI/EPUB/PDF (True) | 8.35 MB
With: Code Files

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.

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.
Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!

Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More! by Amit Saha
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.
Python Programming On Win32: Help for Windows Programmers by Mark Hammond [Repost]

Python Programming On Win32: Help for Windows Programmers by Mark Hammond
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.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Repost)

Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton Series in Modern Observational Astronomy) by Zeljko Ivezić
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.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data [Repost]

Zeljko Ivezić, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray - Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data
Published: 2014-01-12 | ISBN: 0691151687 | PDF | 552 pages | 102 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.