Data Visualization with Python and JavaScript: (Record no. 34441)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 9781098111878 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 001.422 |
| Author Mark | DAL-D |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Dale, Kyran |
| 245 ## - TITLE STATEMENT | |
| Title | Data Visualization with Python and JavaScript: |
| Sub-Title | Scrape, Clean, Explore, and Transform Your Data |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd Ed; |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | Gravenston, Sebastopol, CA,. |
| Name of publisher, distributor, etc. | O'Reilly Media |
| Date of publication, distribution, etc. | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | 529p, |
| 500 ## - GENERAL NOTE | |
| General note | 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/><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/><br/>You'll learn how to:<br/><br/>Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup<br/>Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn<br/>Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API<br/>Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web<br/>Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Include Index. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science | Air University Kharian Campus Library | Air University Kharian Campus Library | Computer Core | 02/17/2025 | Ali Book Service | 2976.00 | 001.422 DAL-D | AUKHP0370 | 02/26/2025 | Book |