MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01556nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230302150609.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230302b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789352136414 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 |
| Item number |
MCK |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
McKinney, Wes |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Python for data analysis : |
| Remainder of title |
Data Wrangling wit Pandas, NumPy, and IPython |
| Statement of responsibility, etc. |
Wes McKinney |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
2nd Ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Beijing : |
| Name of publisher, distributor, etc. |
O'Reilly, |
| Date of publication, distribution, etc. |
2018 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Page number |
522 pages : |
| Other physical details |
ill.; |
| Dimensions |
24 cm. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
Preliminaries<br/> |
| -- |
Python language basics, IPython, and Jupyter notebooks<br/> |
| -- |
Built-in data structures, functions, and files<br/> |
| -- |
NumPy basics: arrays and vectorized computation<br/> |
| -- |
Getting started with pandas<br/> |
| -- |
Data loading, storage, and file formats<br/> |
| -- |
Data cleaning and preparation<br/> |
| -- |
Data wrangling: join, combine, and reshape<br/> |
| -- |
Plotting and visualization<br/> |
| -- |
Data aggregation and group operations<br/> |
| -- |
Time series<br/> |
| -- |
Advanced pandas<br/> |
| -- |
Introduction to modeling libraies in Python<br/> |
| -- |
Data analysis examples<br/> |
| -- |
Advanced NumPy<br/> |
| -- |
More on the IPython system |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Programming languages (Electronic computers) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
5807 |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
5808 |
