Python for Data Analysis, 2nd Edition
Data Wrangling with Pandas, NumPy, and IPython

Preview
Amazon | $39.95 |
BetterWorldBooks | $43.07 |
BiggerBooks | $41.64 |
eBay | $31.95 |
eBooks.com | $67.99 |
eCampus | $42.49 |
update prices |
Price | $31.95 - $67.99
|
Rating | ![]() ![]() ![]() ![]() ![]() |
Author | William McKinney |
Publisher | O'Reilly Media |
Published | 2017 |
Pages | 544 |
Language | English |
Format | Paper book / ebook (PDF) |
ISBN-10 | 1491957662 |
ISBN-13 | 9781491957660 |
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 science and scientific computing. Data files and related material are available on GitHub.
Use the IPython shell and Jupyter notebook for exploratory computing; Learn basic and advanced features in NumPy (Numerical Python); Get started with data analysis tools in the pandas library; Use flexible tools to load, clean, transform, merge, and reshape data; Create informative visualizations with matplotlib; Apply the pandas groupby facility to slice, dice, and summarize datasets; Analyze and manipulate regular and irregular time series data; Learn how to solve real-world data analysis problems with thorough, detailed examples.
- William McKinney
4 5 1115
Similar Books
by Wes McKinney
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effec...
Price: $25.99 | Publisher: O'Reilly Media | Release: 2012
Making Sense of Data I, 2nd Edition
by Glenn J. Myatt, Wayne P. Johnson
A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors' practical experience in implementing data an...
Price: $16.75 | Publisher: Wiley | Release: 2014
T-SQL Window Functions, 2nd Edition
by Itzik Ben-Gan
Most T-SQL developers recognize the value of window functions for data analysis calculations. But they can do far more, and recent optimizations make them even more powerful. In T-SQL Window Functions, renowned T-SQL expert Itzik Ben-Gan introduces breakthrough techniques for using them to handle many common T-SQL querying tasks with unpr...
Price: $26.99 | Publisher: Microsoft Press | Release: 2019
Network Security Through Data Analysis, 2nd Edition
by Michael Collins
Traditional intrusion detection and logfile analysis are no longer enough to protect today's complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You'll understand how your ...
Price: $30.58 | Publisher: O'Reilly Media | Release: 2017
Practical Statistics for Data Scientists, 2nd Edition
by Peter Bruce, Andrew Bruce, Peter Gedeck
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical meth...
Price: $49.22 | Publisher: O'Reilly Media | Release: 2020
Python Data Analytics, 2nd Edition
by Fabio Nelli
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and de...
Price: $30.41 | Publisher: Apress | Release: 2018
Pro SQL Database for Windows Azure, 2nd Edition
by Scott Klein, Herve Roggero
Pro SQL Database for Windows Azure, 2nd Edition shows how to create enterprise-level database deployments without the usual investment in datacenter and other infrastructure. Take advantage instead of Microsoft's worldwide backbone for cloud computing that delivers all the power of SQL Server in the form of the cloud-based SQL Database fo...
Price: $49.99 | Publisher: Apress | Release: 2012
Beginning Database Design, 2nd Edition
by Clare Churcher
Database design is not an exact science. Many are surprised to find that problems with their databases are caused by poor design rather than by difficulties in using the database management software. Beginning Database Design, 2nd Edition helps you ask and answer important questions about your data so you can understand the problem you ar...
Price: $21.26 | Publisher: Apress | Release: 2012