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NumPy vs React D3 Library: What are the differences?
Developers describe NumPy as "Fundamental package for scientific computing with Python". Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. On the other hand, React D3 Library is detailed as "The easiest way to use D3.js in React". An open source library that will allow developers the ability to reroute D3 output to React’s virtual DOM. Just use your existing D3 code, and with a few simples lines, you can now harness the power of React with the flexibility of D3!.
NumPy belongs to "Data Science Tools" category of the tech stack, while React D3 Library can be primarily classified under "Charting Libraries".
NumPy and React D3 Library are both open source tools. NumPy with 11.1K GitHub stars and 3.67K forks on GitHub appears to be more popular than React D3 Library with 873 GitHub stars and 56 GitHub forks.
Pros of NumPy
- Great for data analysis10
- Faster than list4
Pros of React D3 Library
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What is NumPy?
What is React D3 Library?
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