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With a growing ecosystem of tools and libraries available, and the flexibility to run on many platforms (web, desktop and mobile), JavaScript is a terrific all-round environment for all data wrangling needs!
Data Wrangling with JavaScript teaches readers core data munging techniques in JavaScript, along with many libraries and tools that will make their data tasks even easier.
Key Features
· How to handle unusual data sets
· Cleaning and preparing raw data
· Visualizing your results
Audience
Written for developers with experience using JavaScript. No prior knowledge of data analytics is needed.
Author Bio
Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.
With a growing ecosystem of tools and libraries available, and the flexibility to run on many platforms (web, desktop and mobile), JavaScript is a terrific all-round environment for all data wrangling needs!
Data Wrangling with JavaScript teaches readers core data munging techniques in JavaScript, along with many libraries and tools that will make their data tasks even easier.
Key Features
· How to handle unusual data sets
· Cleaning and preparing raw data
· Visualizing your results
Audience
Written for developers with experience using JavaScript. No prior knowledge of data analytics is needed.
Author Bio
Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.
Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 432 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781617294846 |
| ISBN-10: | 1617294845 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Davis, Ashley |
| Hersteller: | Manning Publications |
| Maße: | 233 x 189 x 25 mm |
| Von/Mit: | Ashley Davis |
| Erscheinungsdatum: | 29.03.2019 |
| Gewicht: | 0,728 kg |
Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 432 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781617294846 |
| ISBN-10: | 1617294845 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Davis, Ashley |
| Hersteller: | Manning Publications |
| Maße: | 233 x 189 x 25 mm |
| Von/Mit: | Ashley Davis |
| Erscheinungsdatum: | 29.03.2019 |
| Gewicht: | 0,728 kg |
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