Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data
| Author | : | |
| Rating | : | 4.37 (526 Votes) |
| Asin | : | 1491920513 |
| Format Type | : | paperback |
| Number of Pages | : | 592 Pages |
| Publish Date | : | 2017-07-26 |
| Language | : | English |
DESCRIPTION:
About the AuthorKyran Dale is a jobbing programmer, ex research-scientist, recreational hacker, independent researcher, occasional entrepreneur, cross-country runner and improving jazz pianist. He specializes in fast-prototyping and feasibility studies, with an algorithmic bent but is happy to just build cool things.. These days he finds Python, Javascript and a little C++ goes a long way to solving most problems out there. During 15 odd years as a research scientist he hacked a lot of code, learned a lot of libraries a
He specializes in fast-prototyping and feasibility studies, with an algorithmic bent but is happy to just build cool things.. Kyran Dale is a jobbing programmer, ex research-scientist, recreational hacker, independent researcher, occasional entrepreneur, cross-country runner and improving jazz pianist. These days he finds Python, Javascript and a little C++ goes a long way to solving most problems out there. During 15 odd years as a research sci
andrew j hurliman said Very disappointed. My first issue with the book is that it attempts to explain everything: It spends more time covering unrelated issues than the tool-chain that it promised in the intro. E.g. it covers CORS, both SQL and noSQL databases, plus plugins like Eve that are completely unnecessary, authorization/authentication, etc.Secondly, the flow of the book is confusing. If you follow along on your computer, you never know which files you should keep because they're part of the core project, or which ones are just little demonstrations of . The guy who complained about the pre-release is an idiot. Jermell Pretty solid book, I wish it went more in depth on other methods of scraping and building crawlers and such. It seems like every book skips the theory and just says use scrapy. Bought the print version and am very pleased with it so far. I've made it about 3/4ths of the way through, it's a good intro to this stuff.. "Tour De Force Of Data Visualization" according to William P Ross. This book does an excellent job of showing how to create a website for Data Visualization. Python and Javascript are the choosen languages along with many libraries. The choice of Python was for its strength in manipulating data, and Javascript is used for the front-end, particularly the DTour De Force Of Data Visualization This book does an excellent job of showing how to create a website for Data Visualization. Python and Javascript are the choosen languages along with many libraries. The choice of Python was for its strength in manipulating data, and Javascript is used for the front-end, particularly the D3 library.Throughout the book there is an example which uses data about Nobel Prize winners. The data is pulled from Wikipedia, cleaned, analyzed, hosted, and visualized. Each step of the process was explained well.The beginning of the. library.Throughout the book there is an example which uses data about Nobel Prize winners. The data is pulled from Wikipedia, cleaned, analyzed, hosted, and visualized. Each step of the process was explained well.The beginning of the
You’ll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScript’s D3 library. Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. If you’re ready to create your own web-based data visualizations—and know either Python or JavaScript— this is the book for you.Learn how to manipulate data with PythonUnderstand the commonalities between Pytho