Data Visualization with Python and JavaScript Scrape Clean Explore and Transform your Data (Record no. 814504)
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000 -LEADER | |
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fixed length control field | 01846nam a22002537a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240103s2023 |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781098111878 |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
ISSN-L | 9781098111878 |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | English |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 001.4226 |
Item number | DAL |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Dale, Kyran |
9 (RLIN) | 879317 |
Relator term | author |
245 ## - TITLE STATEMENT | |
Title | Data Visualization with Python and JavaScript Scrape Clean Explore and Transform your Data |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Beijing : |
Name of publisher, distributor, etc. | O'Reilly, |
Date of publication, distribution, etc. | 2023 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxxvi, 529 p. |
Other physical details | : ill |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes Bibliographical References and Index |
520 ## - SUMMARY, ETC. | |
Summary, etc. | SUMMARY<br/><br/>How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. <br/>Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. <br/> |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 1561 |
Topical term or geographic name entry element | Python Computer Program Language |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 209643 |
Topical term or geographic name entry element | JavaScript (Computer program language) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 2373 |
Topical term or geographic name entry element | Information Visualization |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Link text | WEB LINK |
Uniform Resource Identifier | <a href="https://www.oreilly.com/library/view/data-visualization-with/9781098111861/?_gl=1*1aa3owe*_ga*OTQzMTIwMzU1LjE3MDE4NDQzNzk.*_ga_092EL089CH*MTcwNDE4MTcxMi4yLjEuMTcwNDE4MjEwNy41NC4wLjA. ">https://www.oreilly.com/library/view/data-visualization-with/9781098111861/?_gl=1*1aa3owe*_ga*OTQzMTIwMzU1LjE3MDE4NDQzNzk.*_ga_092EL089CH*MTcwNDE4MTcxMi4yLjEuMTcwNDE4MjEwNy41NC4wLjA. </a> |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Link text | TOC |
Uniform Resource Identifier | <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098111878.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098111878.pdf</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Physical Form | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Stock Type | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Budget Year | Cost, replacement price | Accession Date | Koha item type |
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Dewey Decimal Classification | Text, Paperback | Reference Section | Reference Section | Reference Section | 01/01/2024 | 22 | Purchased | 19157.50 | 001.4226 DAL | 98527 | 19/02/2024 | 2023-24 | 19157.49 | 01/01/2024 | Reference Collection |