This is the code repository for Building Data-Driven Applications with Danfo.js, published by Packt.
A practical guide to data analysis and machine learning using JavaScript
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.
This book covers the following exciting features:
- 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
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
const df = new DataFrame({...})
df.plot("my_div_id").<chart type>
Following is what you need for this book: This book is for data analysts, data scientists, and JavaScript developers who want to create data-driven applications in the JavaScript/Node.js environment. Intermediate-level knowledge of JavaScript programming and data science using pandas is expected.
With the following software and hardware list you can run all code files present in the book (Chapter 1-13).
| Chapter | Software required | OS required |
|---|---|---|
| 1 - 13 | dnotebook | Windows, Mac OS X, and Linux (Any) |
| 1 - 13 | Chrome | Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
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Hands-On Data Analysis with Pandas - Second Edition [Packt] [Amazon]
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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits [Packt] [Amazon]
Rising Odegua is the co-creator of Danfo.js and Dnotebook. He is a software and machine learning engineer with experience building data-driven applications in languages such as Python and JavaScript. Rising is actively engaged in building the developer ecosystem by giving talks, providing direct/indirect mentorship, working on open source projects, hosting meetups, and writing tutorials.
Stephen Oni is the co-creator of Danfo.js and Dnotebook. He is a software developer at Datopian, building data-driven platforms and tools. He is also an open source developer building tools that intersect the web and machine learning.
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.