fastplotlib
NumPy
fastplotlib | NumPy | |
---|---|---|
2 | 276 | |
348 | 26,684 | |
5.5% | 1.2% | |
8.9 | 10.0 | |
about 17 hours ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fastplotlib
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Emerging Rust GUI libraries in a WASM world
https://github.com/kushalkolar/fastplotlib
Alternatively, try pygfx for ThreeJS graphics in Python leveraging wgpu. It works great in Notebooks through notebook-rfb. https://github.com/pygfx/pygfx
If you're adventurous, figure out how to make pygfx work with webgpu via wasm
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Extending Python with Rust
Rather than using matplotlib, you could try either pygfx (https://github.com/pygfx/pygfx) or fastplotlib (https://github.com/kushalkolar/fastplotlib) to make higher performance graphics using Python.
However, it won't solve your problem of Python not being fast enough doing the calculations.
NumPy
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Awesome List
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation.
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NumPy for Beginners: A Basic Guide to Get You Started
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples.
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2 Minutes to JupyterLab Notebook on Docker Desktop
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it.
- Taming Floating-Point Sums
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:
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Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
What are some alternatives?
graphics_wgpu
SymPy - A computer algebra system written in pure Python
vswhere - Locate Visual Studio 2017 and newer installations
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pygfx - Powerful and versatile visualization for Python.
SciPy - SciPy library main repository
python-qubit-setup - All scripts for controlling the instruments and acquiring data in our qubit setup.
blaze - NumPy and Pandas interface to Big Data
Numba - NumPy aware dynamic Python compiler using LLVM
silkenweb - A library for writing reactive single page web apps
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).