Data Wrangling Javascript by Davis Ashley (22 results)

Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Condition: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

paperback. Condition: Very Good. Modest shelfwear to cover, clean pages and sound binding.

Paperback. Condition: Very Good. First Edition. Minimal wear to cover. Pages clean and binding tight. shelf wear. bumped edges. Paperback.

Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Paperback. Condition: 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. .…

Paperback. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Condition: As New. Unread copy in mint condition.

Condition: New. Brand New.

Paperback. Condition: new. New Copy. Customer Service Guaranteed.

Paperback. Condition: 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.…

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: 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.

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

Condition: New. pp. 432.

Condition: New. pp. 432.

Condition: New. pp. 432.

Condition: 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.

Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Soft cover. Condition: New. ISBN:9781617294846.

Paperback. Condition: 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.…