| 000 -LEADER |
|---|
| fixed length control field |
nam a22 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20181117154723.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
181117b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789352134915 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
AIKTC-KRRC |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
ENG |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
DDC23 |
| Classification number |
006.312 |
| Item number |
VAN |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
5146 |
| Personal name |
VanderPlas, Jake |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Python data science handbook |
| Remainder of title |
: Essential tools for working with data |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Sebastopol |
| Name of publisher, distributor, etc. |
O'Reilly Media, Inc. |
| Date of publication, distribution, etc. |
20017 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 529p. |
| Other physical details |
| Binding - Paperback | |
| Dimensions |
23.3*17.6 cm |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them allÃIPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.
|
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
4622 |
| Topical term or geographic name entry element |
Computer Engineering |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
PANDAS |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Data Manipulation |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
NumPy |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Matplotlib |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Text Books |
