Python for data analysis: data wrangling with pandas, numpy & jupyter (Record no. 3209)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 01382nam a22002177a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20221107163137.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221107b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789355421906 |
050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA76.73.P98 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | McKinney, Wes |
245 ## - TITLE STATEMENT | |
Title | Python for data analysis: data wrangling with pandas, numpy & jupyter |
Statement of responsibility, etc. | / Wes McKinney |
250 ## - EDITION STATEMENT | |
Edition statement | 3rd Ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Mumbai: |
Name of publisher, distributor, etc. | Shroff publishers & distributors pvt.ltd. (O'Reilly) |
Date of publication, distribution, etc. | 2022 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xvi, 561 p. |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | 1. Preliminaries;<br/>2. Python language basics, IPython, and Jupyter notebooks;<br/>3. Built-in data structures, functions, and files;<br/>4. NumPy basics: arrays and vectorized computation;<br/>5. Getting started with pandas;<br/>6. Data loading, storage, and file formats;<br/>7. Data cleaning and preparation;<br/>8. Data wrangling: join, combine, and reshape;<br/>9. Plotting and visualization;<br/>10. Data aggregation and group operations;<br/>11. Time series;<br/>12. Advanced pandas;<br/>13. Introduction to modeling libraies in Python;<br/>14. Data analysis examples;<br/>15. Advanced NumPy;<br/>16. More on the IPython system |
520 ## - SUMMARY, ETC. | |
Summary, etc. | "Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. 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 | Computer science: Python |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Koha item type | Book |
Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Shelving location | Date acquired | Inventory number | Total Checkouts | Total Renewals | Full call number | Accession No. | Date last seen | Date last checked out | Copy number | Price effective from | Koha item type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Technology | ICTS | Rack No 3 | 11/07/2022 | 51996 & 02/11/2022 | 11 | 2 | QA76.73.P98 | 02599 | 10/03/2024 | 07/29/2024 | 1 | 11/07/2022 | Book |