Python for data analysis : data wrangling with pandas, NumPy, and IPython (Record no. 44509)
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000 -LEADER | |
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fixed length control field | 01990nam a22003257i 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1491957662 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781491957660 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.133 |
Item number | MAC |
100 1# - MAIN ENTRY--AUTHOR NAME | |
Personal name | McKinney, Wes, |
245 10 - TITLE STATEMENT | |
Title | Python for data analysis : data wrangling with pandas, NumPy, and IPython |
250 ## - EDITION STATEMENT | |
Edition statement | Second edition. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Sebastopol, CA : |
Name of publisher | O'Reilly Media, Inc., |
Year of publication | 2018. ©2018 |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xvi, 524 pages : |
Other physical details | illustrations ; |
500 ## - GENERAL NOTE | |
General note | "Revision history for the Second Edition: 2017-09-25: First Release"--Title page verso. |
500 ## - GENERAL NOTE | |
General note | First edition: October 2012. |
500 ## - GENERAL NOTE | |
General note | Includes index. |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- 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"--Page 4 of cover. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Python (Computer program language) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Programming languages (Electronic computers) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Data mining. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Programming languages (Electronic computers) |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Data mining. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Python (Computer program language) |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Python 3.6 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Datenanalyse |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Datenmanagement |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Data Mining |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Reference Books |
Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
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Reference | Main Library | Main Library | Reference | 01/01/2019 | Purchased | 7900.00 | 005.133 MAC | 015799 | Reference Books |