Python for data analysis (Record no. 9678)
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| 000 -LEADER | |
|---|---|
| fixed length control field | a |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191102104801.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191102b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789352136414 |
| 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 | 005.133 |
| Item number | MCK |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | McKinney, Wes |
| 9 (RLIN) | 10246 |
| 245 ## - TITLE STATEMENT | |
| Title | Python for data analysis |
| Remainder of title | : Data, wrangling with pandas, numpy, and ipython |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | O'reilly |
| Place of publication, distribution, etc. | Sebastopol |
| Date of publication, distribution, etc. | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvi, 522p. |
| Other physical details | | Binding - Paperback | |
| Dimensions | 23.2*17.8 cm |
| 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. YouÂll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. ItÂs ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the IPython shell and Jupyter notebook for exploratory computingLearn basic and advanced features in NumPy (Numerical Python)Get started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples |
| Expansion of summary note | Table of Contents 1.Preliminaries 2.Python Language Basics, IPython, and Jupyter Notebooks 3.Built-in Data Structures, Functions, and Files 4. NumPy Basics: Arrays and Vectorized Computation 5.Getting Started with pandas 6.Data Loading, Storage, and File Formats 7. Data Cleaning and Preparation 8. Data Wrangling: Join, Combine, and Reshape 9. Plotting and Visualization 10.Data Aggregation and Group Operations 11.Time Series 12. Advanced pandas 13. Introduction to Modeling Libraries in Python 14. Data Analysis Examples |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4619 |
| Topical term or geographic name entry element | EXTC Engineering |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Text Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reference | School of Engineering & Technology | School of Engineering & Technology | Reference Section | 2019-11-02 | 2 | 1160.00 | 1 | 005.133 MCK | E15035 | 2023-08-25 | 2023-04-11 | 1450.00 | 2019-11-02 | Text Books |