Mega Dose
 
 

Special Offers see all

Enter to WIN a $100 Credit

Subscribe to PowellsBooks.news
for a chance to win.
Privacy Policy

Tour our stores


    Recently Viewed clear list


    Original Essays | September 30, 2014

    Benjamin Parzybok: IMG A Brief History of Video Games Played by Mayors, Presidents, and Emperors



    Brandon Bartlett, the fictional mayor of Portland in my novel Sherwood Nation, is addicted to playing video games. In a city he's all but lost... Continue »

    spacer
Qualifying orders ship free.
$39.99
New Trade Paper
Ships in 1 to 3 days
Add to Wishlist
Qty Store Section
1 Beaverton Computer Languages- Python
2 Burnside Computer Languages- Python
25 Remote Warehouse Computer Languages- Python

This title in other editions

Python for Data Analysis

by

Python for Data Analysis Cover

 

Synopses & Reviews

Publisher Comments:

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 youll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. Its ideal for analysts new to Python and for Python programmers new to scientific computing.

  • Use the IPython interactive shell as your primary development environment
  • Learn basic and advanced NumPy (Numerical Python) features
  • Get started with data analysis tools in the pandas library
  • Use high-performance tools to load, clean, transform, merge, and reshape data
  • Create scatter plots and static or interactive visualizations with matplotlib
  • Apply the pandas groupby facility to slice, dice, and summarize datasets
  • Measure data by points in time, whether its specific instances, fixed periods, or intervals
  • Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

Synopsis:

Finding great data analysts is difficult. Despite the explosive growth of data in industries ranging from manufacturing and retail to high technology, finance, and healthcare, learning and accessing data analysis tools has remained a challenge. This pragmatic guide will help train you in one of the most important tools in the field—Python.

Filled with practical case studies, Python for Data Analysis demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. It also serves as a modern introduction to scientific computing in Python for data-intensive applications. Learn about the growing field of data analysis from an expert in the community.

  • Learn everything you need to start doing real data analysis work with Python
  • Get the most complete instruction on the basics of the “modern scientific Python platform”
  • Learn from an insider who builds tools for the scientific stack
  • Get an excellent introduction for novices and a wealth of advanced methods for experienced analysts

About the Author

Wes McKinney is the main author of pandas, the popular open sourcePython library for data analysis. Wes is an active speaker andparticipant in the Python and open source communities. He worked as aquantitative analyst at AQR Capital Management and Python consultantbefore founding DataPad, a data analytics company, in 2013. Hegraduated from MIT with an S.B. in Mathematics.

Table of Contents

PrefaceChapter 1: PreliminariesChapter 2: Introductory ExamplesChapter 3: IPython: An Interactive Computing and Development EnvironmentChapter 4: NumPy Basics: Arrays and Vectorized ComputationChapter 5: Getting Started with pandasChapter 6: Data Loading, Storage, and File FormatsChapter 7: Data Wrangling: Clean, Transform, Merge, ReshapeChapter 8: Plotting and VisualizationChapter 9: Data Aggregation and Group OperationsChapter 10: Time SeriesChapter 11: Financial and Economic Data ApplicationsChapter 12: Advanced NumPyPython Language EssentialsColophon

Product Details

ISBN:
9781449319793
Author:
Mckinney, Wes
Publisher:
O'Reilly Media
Author:
McKinney, Wes
Subject:
Computer Languages - Python
Subject:
business;data analysis;programming;python
Subject:
CourseSmart Subject Description
Copyright:
Edition Description:
Print PDF
Publication Date:
20121131
Binding:
TRADE PAPER
Language:
English
Pages:
470
Dimensions:
9.19 x 7 in

Other books you might like

  1. R Cookbook New Trade Paper $39.99

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computer Languages » Python
Computers and Internet » Computers Reference » General
Computers and Internet » Nutshell » General

Python for Data Analysis New Trade Paper
0 stars - 0 reviews
$39.99 In Stock
Product details 470 pages O'Reilly Media - English 9781449319793 Reviews:
"Synopsis" by ,

Finding great data analysts is difficult. Despite the explosive growth of data in industries ranging from manufacturing and retail to high technology, finance, and healthcare, learning and accessing data analysis tools has remained a challenge. This pragmatic guide will help train you in one of the most important tools in the field—Python.

Filled with practical case studies, Python for Data Analysis demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. It also serves as a modern introduction to scientific computing in Python for data-intensive applications. Learn about the growing field of data analysis from an expert in the community.

  • Learn everything you need to start doing real data analysis work with Python
  • Get the most complete instruction on the basics of the “modern scientific Python platform”
  • Learn from an insider who builds tools for the scientific stack
  • Get an excellent introduction for novices and a wealth of advanced methods for experienced analysts

spacer
spacer
  • back to top

FOLLOW US ON...

     
Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.