scientific-visualization-book
d3
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scientific-visualization-book | d3 | |
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17 | 276 | |
9,995 | 107,465 | |
- | 0.3% | |
3.6 | 8.4 | |
2 months ago | 4 days ago | |
Python | Shell | |
GNU General Public License v3.0 or later | ISC License |
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scientific-visualization-book
- Book or web book recommendation request: a data visualization cookbook using Python for scientists.
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What's New in Matplotlib 3.6.0
I had the same problem until I found this tutorial:
https://github.com/rougier/matplotlib-tutorial
If you wan something deeper the same person has written a book:
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Ask HN: What is the best book on data visualization in 2021?
For python this open access book is excellent: https://github.com/rougier/scientific-visualization-book
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Open access book on scientific visualization using Python and matplotlib
This book is distributed under a non commercial license (CC-BY-NC-SA 4.0) [0].
While I understand that language is evolving and that only under a "strict definition" of open access does it mean removing barriers to copying and reuse [1], it's seems pretty duplicitous to say it's "open" while putting it under a non-commercial license.
[0] https://github.com/rougier/scientific-visualization-book/blo...
[1] https://en.wikipedia.org/w/index.php?title=Open_access&oldid...
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Scikit-Learn Version 1.0
Speaking of what's possible in matplotlib, I am very much looking forward to reading this book: https://github.com/rougier/scientific-visualization-book
d3
- Ask HN: Tips to get started on my own server
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Full Stack Web Development Concept map
d3 - very power visualization library enabling dynamic visualizations. docs
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Observable 2.0, a static site generator for data apps
Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d say we’re trying to target data app developers more than data analysts; we offer a lot of power and expressiveness, and emphasize custom visualizations and interaction (leaning on Observable Plot or D3), as well as polyglot programming with data loaders written in any language (Python, R, not just SQL).
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Using Deno with Jupyter Notebook to build a data dashboard
D3.js: A robust library to visualize your data and create interactive data-driven visualizations.
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What is the technology stack used to create these live charts?
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options.
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How do you implement library types?
When I go to the homepage of types/d3 the only hint for any kind of documentation is what seems to be the main github page of d3. It's highly possible I'm missing something here, so sorry if I am but I can't find any documentation of how you are supposed to type these library objects.
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The top 11 React chart libraries for data visualization
Website: D3.js official site
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Frontend development roadmap
D3js
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How to use Next.js and Recharts to build an information dashboard
Recharts is a composable charting library built on React components and D3.js. It contains API’s which allow you to easily add 11 different highly configurable chart types to your React application. Recharts is one of the most popular React.js charting libraries with over 20k likes on GitHub.
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Best heatmap libraries for React (with demos)
D3.js: The advanced option
What are some alternatives?
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
vis
d4 - A friendly reusable charts DSL for D3
svg.js - The lightweight library for manipulating and animating SVG
sigma.js - A JavaScript library aimed at visualizing graphs of thousands of nodes and edges
paper.js - The Swiss Army Knife of Vector Graphics Scripting – Scriptographer ported to JavaScript and the browser, using HTML5 Canvas. Created by @lehni & @puckey
fabric.js - Javascript Canvas Library, SVG-to-Canvas (& canvas-to-SVG) Parser
visx - 🐯 visx | visualization components
vega - A visualization grammar.
Cytoscape.js - Graph theory (network) library for visualisation and analysis
Snap.svg - The JavaScript library for modern SVG graphics.