Posted by **insetes** at May 7, 2017

2014 | 512 Pages | ISBN: 1783284811 | EPUB + PDF | 14 MB

Posted by **happy4all** at Oct. 23, 2016

2014 | 512 Pages | ISBN: 1783284811 | EPUB + PDF | 14 MB

Posted by **bookwarrior** at Aug. 5, 2016

2014 | 512 Pages | ISBN: 1783284811 | EPUB + PDF | 14 MB

Posted by **tukotikko** at July 17, 2016

2014 | 512 Pages | ISBN: 1783284811 | EPUB + PDF | 14 MB

Posted by **bookwyrm** at July 1, 2016

2014 | 512 Pages | ISBN: 1783284811 | EPUB + PDF | 14 MB

Posted by **AlenMiler** at July 31, 2015

English | Sep. 24, 2014 | ISBN: 1783284811 | 423 Pages | EPUB/MOBI/PDF (True) | 46.86 MB

The complexity of modern data - in particular Big Data - and the demand to understand it in powerful and productive ways can make effective scientific computing one of the biggest challenges within data science and analysis.

Posted by **tanas.olesya** at March 26, 2016

English | 25 Sept. 2014 | ISBN: 1783284811 | 512 Pages | PDF | 8 MB

Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists… Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

Posted by **ksveta6** at June 10, 2016

2015 | ISBN: 1783986980 | English | 200 pages | PDF/EPUB | 4 MB/4 MB

Posted by **tanas.olesya** at April 12, 2016

English | 25 Apr. 2013 | ISBN: 1782169938 | 138 Pages | PDF/EPUB | 1/2 MB

IPython provides a rich architecture for interactive computing, and as a Python developer you can take advantage of this practical hands-on guide to make yourself an expert. Covers numerical computing, data analysis, and more.

Posted by **enmoys** at Dec. 3, 2014

2013 | 138 Pages | ISBN: 1782169938 | PDF | 2 MB