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Author by : Jake VanderPlas Languange Used : en Release Date : 2016-11-21 Publisher by : "O'Reilly Media, Inc." ISBN : 9781491912133 File Size : 49,7 Mb Total Download : 676
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types
Author by : Wes McKinney Languange Used : en Release Date : 2017-09-25 Publisher by : "O'Reilly Media, Inc." ISBN : 9781491957615 File Size : 40,7 Mb Total Download : 333
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. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data sci
Author by : Field Cady Languange Used : en Release Date : 2017-02-03 Publisher by : John Wiley & Sons ISBN : 9781119092926 File Size : 46,9 Mb Total Download : 586
A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline.
Author by : Joel Grus Languange Used : en Release Date : 2015-04-14 Publisher by : "O'Reilly Media, Inc." ISBN : 9781491904404 File Size : 55,9 Mb Total Download : 402
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of da