MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01556nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240627143658.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240627b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
978-9355421906 (PB) |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 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 with Pandas, NumPy, and Jupyter |
| Statement of responsibility, etc. |
Wes McKinney |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
3 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Beijing |
| Name of publisher, distributor, etc. |
O'Reilly |
| Date of publication, distribution, etc. |
2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Page number |
xvi, 561 p |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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 cleaing and preparation<br/>Data wrangling: join, combine, reshape<br/>Plotting and visualization<br/>Data aggregation and group operations<br/>Time series<br/>Introduction to modeling libraries in Python<br/>Data analysis examples<br/>Advanced NumPy<br/>More on the IPython system |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third 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, and Jupyter in the process |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining Exploration de données (Informatique) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Programming languages (Electronic computers) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
6713 |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
6714 |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
6715 |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
6716 |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
6717 |
