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RELEASE NAME....: Lynda.com.NumPy.Data.Science.Essential.Training-ELOHiM
RELEASE DATE....: 2016-10-10
RELEASE SIZE....: 35x15Mb
FORMAT..........: Bookware
LANGUAGE........: English
URL.............: http://www.lynda.com
NumPy Data Science Essential Training introduces the beginning to
intermediate data scientist to NumPy, the Python library that supports
numerical, scientific, and statistical programming, including machine
learning. The library supports several aspects of data science, providing
multidimensional array objects, derived objects (matrixes and masked
arrays), and routines for math, logic, sorting, statistics, and random
number generation. Here Charles Kelly shows how to work with NumPy and
Python within Jupyter Notebook, a browser-based tool for creating
interactive documents with live code, annotations, and even visualizations
such as plots. Learn how to create NumPy arrays, use NumPy statements and
snippets, and index, slice, iterate, and otherwise manipulate arrays.
Plus, learn how to plot data and combine NumPy arrays with Python classes,
and get examples of NumPy in action: solving linear equations, finding
patterns, performing statistics, generating magic cubes, and more.
Topics include:
* Using Jupyter Notebook
* Creating NumPy arrays from Python structures
* Slicing arrays
* Using Boolean masking and broadcasting techniques
* Plotting in Jupyter notebooks
* Joining and splitting arrays
* Rearranging array elements
* Creating universal functions
* Finding patterns
* Building magic squares and magic cubes with NumPy and Python
Subjects: Big Data, IT, NumPy
Author: Charles Kelly
Level: Intermediate
Duration: 3h 54m
Released: 10/7/2016