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 **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 **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 **ksveta6** at March 8, 2017

2016 | ISBN: 1785888412 | English | 382 pages | PDF | 5 MB

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

English | 2012 | ISBN: 1449319793 | 470 pages | EPUB | 6,5 MB

Posted by **First1** at Oct. 8, 2017

English | September 25th, 2017 | ISBN: 1491957662, 9781119363705, 9781491957660 | 541 pages | True PDF | 8.94 MB

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Youâ€™ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.