Data wrangling javascript par davis ashley (22 résultats)

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Paperback. Etat : Very Good. Data Wrangling with JavaScript This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .…

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Paperback. Etat : New. 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.…

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Paperback. Etat : Brand New. 375 pages. 9.25x7.25x1.00 inches. In Stock.

Etat : New. pp. 432.

Etat : New. pp. 432.

Etat : New. pp. 432.

Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Soft cover. Etat : New. ISBN:9781617294846.

Paperback. Etat : New. 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.…