What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Key benefits

Build microservices to perform data transformation and ML model serving in JavaScript

Explore what Danfo.js is and how it helps with data analysis and data visualization

Combine Danfo.js and TensorFlow.js for machine learning

Description

Most data analysts use Python and pandas for data processing for the convenience and performance these libraries provide. However, JavaScript developers have always wanted to use machine learning in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how to make the most of this library to build data-driven applications. Starting with an overview of modern JavaScript, you’ll cover data analysis and transformation with Danfo.js and Dnotebook. The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. You’ll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you’ll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwindcss, and understand how to use TensorFlow.js and Danfo.js to build a recommendation system. Finally, you’ll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js. By the end of this app development book, you’ll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.

What you will learn

Perform data experimentation and analysis with Danfo.js and Dnotebook

Build machine learning applications using Danfo.js integrated with TensorFlow.js

Connect Danfo.js with popular database applications to aid data analysis

Create a no-code data analysis and handling system using internal libraries

Develop a recommendation system with Danfo.js and TensorFlow.js

Build a Twitter analytics dashboard for sentiment analysis and other types of data insights

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Machine Learning Engineering with Python

R$306.99

R$272.99

Building Data-Driven Applications with Danfo.js

R$272.99

Total R$ 852.97

FAQs

What is the delivery time and cost of print book?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

What is custom duty/charge?

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order?

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges?

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.

How can I cancel my order?

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy?

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged?

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use?

You can pay with the following card types:

Visa Debit
Visa Credit
MasterCard
PayPal

What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

Nithin Dec 13, 2021

I have always thought data analysis can only be performed using Python's libraries but then I came across this book which explains how to use Javascript for data analysis. It begins with a comprehensive introduction of JavaScript and focuses on Danfo.js for data processing and visualization. I love that this book tries to cover most of the aspects of data analysis making it very simple for beginners to follow and also build projects to cement the lessons learned. I would suggest this book if you are interested in data analysis and wish to build applications in JavaScript as you progress through the book.

Amazon Verified review

Anonymous Nov 12, 2021

I have got the chance to read this book and the book is very nicely explained along with a rich set of examples throughout the book. The examples are written following the best JavaScript practice.I like the organization, presentation, and contents of the book a lot.

E. Leonard Nov 16, 2021

I approached this book half sceptic and half wide-eyed enthusiast. It’s fair to say python has pretty much cornered the data wrangling and ML market. It’s equally fair to say that if you intend to move out of notebooks and into deployable software on the web you’ll inevitably encounter javascript.The early segments of the book will sharpen up your javascript, allowing you to create a dev environment and introduce you to notebooks and basic conceptsFollowing the common approaches and use cases for notebooks, or Dnotebooks as they’re called here, we move into series and dataframes (pandas like capability). They cover ground familiar to Jupyter users and can be used for wrangling, analysis, ML or simply learning javascript interactively with some small, digestible changes for how consoles work with the library/browser. People who know JavaScript and python will have a fairly easy transition, if you don’t know JS you’ll learn enough here to be effective within the scope of the book. If you know JS but are new to data analysis and ML you're in for a nice ride.As the book progresses we move on to using Plotly and Danfo for a walkthrough of the DataViz side of things, again this will be familiar ground for people coming from a python ecosystem, the general usage of the APIs is the same and all the better for it. This was an enjoyable section. It was satisfying to create useful visualisations without the pain of working with raw d3.The projects presented in the book are varied for the purpose of showing off the tools, interesting enough to follow along, the explanations are clear without being dragged out, weighty enough that you won’t feel they’ve been stripped down to the point of missing the richness of the functionality being explained. Overall I enjoyed the pacing and depth.The last third of the book dives deeper into ML with tensorfow.js and builds projects around Twitter and recommender systems. Neither of these projects are truly original but again the benefit here is you can see the differences, the comfortable similarities between working in JavaScript and python ecosystems respectively. One bonus is the usage of next.JS by vercel which is a React framework growing in reach and popularity at the moment.No hesitation recommending the book. I enjoyed the read and I would refer to it in a real-world setting. This book really helps the JS developer get going with ML without having to adopt a different language. As the adage goes "What can be written in JS will eventually be written in JS".An easy 4 or 4.5 stars.

BitterPill Oct 06, 2023

Don't expect the code to actually work. It is way out of date. Somewhere along the line, the developers changed many things - read_csv is now readCSV, for example. I'm finding this throughout the book.

Building Data-Driven Applications with Danfo.js: A practical guide to data analysis and machine learning using JavaScript

What do you get with Print?