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Building Data-Driven Applications with Danfo.js

You're reading from   Building Data-Driven Applications with Danfo.js A practical guide to data analysis and machine learning using JavaScript

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781801070850
Length 476 pages
Edition 1st Edition
Languages
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Authors (2):
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Stephen Oni Stephen Oni
Author Profile Icon Stephen Oni
Stephen Oni
Rising Odegua Rising Odegua
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Rising Odegua
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Table of Contents (18) Chapters Close

Preface 1. Section 1: The Basics
2. Chapter 1: An Overview of Modern JavaScript FREE CHAPTER 3. Section 2: Data Analysis and Manipulation with Danfo.js and Dnotebook
4. Chapter 2: Dnotebook - An Interactive Computing Environment for JavaScript 5. Chapter 3: Getting Started with Danfo.js 6. Chapter 4: Data Analysis, Wrangling, and Transformation 7. Chapter 5: Data Visualization with Plotly.js 8. Chapter 6: Data Visualization with Danfo.js 9. Chapter 7: Data Aggregation and Group Operations 10. Section 3: Building Data-Driven Applications
11. Chapter 8: Creating a No-Code Data Analysis/Handling System 12. Chapter 9: Basics of Machine Learning 13. Chapter 10: Introduction to TensorFlow.js 14. Chapter 11: Building a Recommendation System with Danfo.js and TensorFlow.js 15. Chapter 12: Building a Twitter Analysis Dashboard 16. Chapter 13: Appendix: Essential JavaScript Concepts 17. Other Books You May Enjoy

Introduction to Dnotebook

Over the past few years in the field of data science, interactive computing environments such as Jupyter Notebook and JupyterLab have actually made a huge impact in terms of how code is shared, and this has enhanced fast and rapid iterations of ideas.

In recent times, data science is moving towards the browser side, in order to support diverse users such as web developers. This means that a lot of mature data science tooling available in the Python ecosystem needed to be ported or made available in JavaScript as well. Following this line of reasoning, we, the authors of this book, as well as the creators of Danfo.js, decided to create a new version of the Jupyter Notebook specifically targeted at the JavaScript ecosystem.

Dnotebook, as we have called it, helps you to perform quick and interactive experimentation/prototyping in JavaScript. That means you can write code and view the results instantly in an interactive and notebook-like manner as seen in...

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