| 000 -LEADER |
|---|
| fixed length control field |
01923nam a22002297a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20191011145715.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
191011b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
978-1-449-31979-3 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
IZA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
McKinney, Wes |
| 9 (RLIN) |
4821 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Python for Data Analyis: Data Wrangling with Pandas, NumPy, and IPython |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Sebastopol, |
| Name of publisher, distributor, etc. |
O'Reilly Media, Inc., |
| Date of publication, distribution, etc. |
2013 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
447 pages |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
<br/><br/>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.<br/><br/>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.<br/><br/> Use the IPython shell and Jupyter notebook for exploratory computing<br/> Learn basic and advanced features in NumPy (Numerical Python)<br/> Get started with data analysis tools in the pandas library<br/> Use flexible tools to load, clean, transform, merge, and reshape data<br/> Create informative visualizations with matplotlib<br/> Apply the pandas groupby facility to slice, dice, and summarize datasets<br/> Analyze and manipulate regular and irregular time series data<br/> Learn how to solve real-world data analysis problems with thorough, detailed examples <br/><br/> |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
python |
|
|---|
| Uncontrolled term |
computer language |
|
|---|
| Uncontrolled term |
programming |
|
|---|
| Uncontrolled term |
textbook |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="http://shop.oreilly.com/product/0636920050896.do">http://shop.oreilly.com/product/0636920050896.do</a> |
| Link text |
Publisher's Website |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Computer Science |
