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Python data science handbook : essential tools for working with data (Record no. 543017)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02045nam a2200205Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240825s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789355422552 |
| Paper back/Hardbound | pbk |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 |
| Item number | VAN |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Vanderplas T Jacob |
| 245 #0 - TITLE STATEMENT | |
| Title | Python data science handbook : essential tools for working with data |
| Statement of responsibility, etc | /Jacob T. Vanderplas |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Year of publication | 2023. |
| Place of publication | Sebastopol, CA, |
| Name of publisher | O'Reilly Media, Incorporated |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxiv, 563 pages : |
| Other physical details | illustrations ,; |
| Dimensions | 23 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Python is a first-class tool for many researchers, primarily 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 new edition of Python Data Science Handbook do you get them all;Python, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of 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. With this handbook, you'll learn how: IPython and Jupyter provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data arrays Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data Matplotlib includes capabilities for a flexible range of data visualizations Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms<br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer Science Data mining Exploration de données (Informatique) Python (Computer program language) Python (Langage de programmation) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Reference |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Price effective from | Koha item type | Copy number |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 17.06.2024 | 1750.00 | 006.312 VAN | 692474 | 17.06.2024 | Reference | |||||
| Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 17.06.2024 | 1750.00 | 006.312 VAN;1 | 692475 | 17.06.2024 | Reference | 1 |