DNotebook Tutorial: The Javascript Version of Python's Jupyter Notebook

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DNOTEBOOK

Dnotebook allows you to create and share pages that contain live code, text and visualizations in a textbook-like manner.

We are redesigning Dnotebook to feel more native. Track progress in this epic issue, project board.

Features:

• Easily perform interactive data exploration and analysis using efficient JavaScript packages like Danfo.js.
• Easily build, train and prototype machine learning models using different tools like Tensorflow.js
• Learn JavaScript in an interactive/visual style. This can hasten learning and understanding.
• Plain Experimentation/Prototyping. Any experimentation performed in JavaScript can run on Dnotebooks.

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REFERENCE: https://dnotebook.jsdata.org/getting-started

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TRY RUNNING DNOTEBOOK ON STACKBLITZ

0) You should have a StackBlitz account first.

1) Create a node.js project

2) Enter the following package.json data:

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package.json: { "name": "node-starter", "version": "0.0.0", "scripts": { "test": "echo \"Error: no test specified\" && exit 1" }, "dependencies": { "dnotebook": "^0.1.1" } }

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3) Run (using terminal command)

>npm install

>dnotebook

4) Use dnotebook in the browser

5) Try uploading json data from https://pastebin.com/raw/K8gcmPb4

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You should be getting the following output

ObservableHq Tutorial: Introduction to Data (JavaScript ML Notebook Alternative To Python ML Jupyter Notebook)

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Introduction to Data

How do you get data into Observable for analysis and visualization? Depending on its form and where it lives, there are a variety of ways:

• inline - embedded in the notebook as code, for small amounts of data
• files - attached to the notebook, for medium amounts of data (e.g., CSV, SQLite)
• APIs - queried from a remote server, for programmatic access to data
• databases - via an Observable database client, for accessing SQL databases

You can also download generated data from notebooks.

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https://observablehq.com/@observablehq/introduction-to-data

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SQLite

Observable has built-in support for SQLite, “a small, fast, self-contained, high-reliability, full-featured, SQL database engine” and “the most used database engine in the world.” Observable’s SQLite client uses sql.js, an Emscripten port of SQLite.

After attaching a SQLite file to your notebook, create a SQLite database client by calling file.sqlite().

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https://observablehq.com/@observablehq/sqlite

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