Numpy Essentials

NumPy Essentials  eBooks & eLearning

Posted by AlenMiler at May 5, 2017
NumPy Essentials

NumPy Essentials by Leo (Liang-Huan) Chin
English | 28 Apr. 2016 | ASIN: B01CSLI6GS | 156 Pages | AZW3 | 3.01 MB

Python NumPy  eBooks & eLearning

Posted by FenixN at Jan. 3, 2017
Python NumPy

Python NumPy
HDRips | MP4/AVC, ~828 kb/s | 1280x720 | Duration: 01:05:16 | English: AAC, 128 kb/s (2 ch) | 362 MB
Genre: Development / Programming

At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful. You'll also know how to install Numpy.

Scripting Essentials for DevOps  eBooks & eLearning

Posted by IrGens at June 23, 2018
Scripting Essentials for DevOps

Scripting Essentials for DevOps
.MP4, AVC, 2000 kbps, 1920x1080 | English, AAC, 317 kbps, 2 Ch | 4 hrs 7 mins | 4.47 GB
Created by Eduonix Learning Solutions

Python NumPy & Pandas Intro.  eBooks & eLearning

Posted by naag at May 10, 2018
Python NumPy & Pandas Intro.

Python NumPy & Pandas Intro.
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | Lec: 15 | 388 MB
Genre: eLearning | Language: English

A Quick introduction to Python's NumPy and Pandas Modules
Data Science mit Python: Das Handbuch für den Einsatz von IPython, Jupyter, NumPy, Pandas, Matplotlib und Scikit-Learn

Jake VanderPlas, "Data Science mit Python: Das Handbuch für den Einsatz von IPython, Jupyter, NumPy, Pandas, Matplotlib und Scikit-Learn"
German | ISBN: 3958456952 | 2017 | EPUB | 552 pages | 12,8 MB

Python Data Science Essentials - Second Edition  eBooks & eLearning

Posted by readerXXI at Nov. 25, 2017
Python Data Science Essentials - Second Edition

Python Data Science Essentials - Second Edition
by Alberto Boschetti and Luca Massaron
English | 2016 | ISBN: 1786462133 | 373 Pages | True PDF/ePUB/Mobi/Code Files | 5.2/5.5/8.2/5.7 MB

NumPy Data Science Essential Training  eBooks & eLearning

Posted by Landau17 at Oct. 9, 2017
NumPy Data Science Essential Training

NumPy Data Science Essential Training
MP4 | Video: 720p | Duration: 3:54:13 | English | Subtitles: VTT | 600.6 MB
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition by Wes McKinney
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. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.
Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts

Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts By Ashwin Pajankar
English | EPUB | 2017 | 183 Pages | ISBN : 1484228774 | 2.8 MB

Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis.
Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts

Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts By Ashwin Pajankar
English | PDF | 2017 | 183 Pages | ISBN : 1484228774 | 5.5 MB

Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis.