jupyterlite
SymPy
jupyterlite | SymPy | |
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19 | 34 | |
3,661 | 12,403 | |
2.8% | 3.2% | |
8.9 | 10.0 | |
5 days ago | 5 days ago | |
TypeScript | Python | |
BSD 3-clause "New" or "Revised" License | 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.
jupyterlite
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SymPy: Symbolic Mathematics in Python
The JupyterLite Python-compiled-to-WASM build has NumPy, SciPy, matplotlib, and SymPy installed; so you can do computer algebra with SymPy in a browser tab.
https://JupyterLite.rtfd.io/
https://github.com/jupyterlite/jupyterlite/tree/main/py/jupy... :
> Initial support for interactive visualization libraries such as: altair, bqplot, ipywidgets, matplotlib, and plotly
- Vscode.dev: Local Development with Cloud Tools
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Show HN: Ipython-GPT, a Jupyter/IPython Interface to Chat GPT
https://jupyterlite.readthedocs.io/en/latest/howto/extension... :
> We recommend checking out how to create a server extension first
From https://github.com/jupyterlite/jupyterlite/issues/237#issuec... re: 'micropip':
%pip install $@
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Show HN: Classic FPS Wolfenstein 3D brought in the browser via Emscripten
https://github.com/emscripten-forge/recipes/tree/main/recipe...
Re: emscripten fs implementations: https://github.com/emscripten-core/emscripten/issues/15041#i... https://github.com/jupyterlite/jupyterlite/issues/315
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Jupyterlab Desktop
Agreed that would be a killer feature. Unzip this package and get a functional Python + Jupyter + scientific (numpy, pandas, scipy, matplotlib) environment.
I have been on-and-off teaching some people Python and the initial setup on-ramp is horrible. Ok, so install Python, now ignore-this-for-now-complications: create a "virtualenv", use this thing called "pip", install these half-dozen things to get a basic notebook (Jupyter + scipy things), install these other half-dozen quality of life things, you should probably also have "conda" for the future, etc. That's a lot of nonsense for someone I am trying to show an alternative to Excel.
My shortcut, "You want to try Python?" approach has been to start with JupyterLite[0] where I can immediately get people coding and delay that pain.
[0] https://github.com/jupyterlite/jupyterlite
- Show HN: A 100% free and interactive Python course for coding beginners
- What Are People Building With WebAssembly?
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Hacker News top posts: Nov 29, 2022
JupyterLite: a JupyterLab distribution that runs in the browser\ (45 comments)
- JupyterLite is a JupyterLab distribution that runs in the browser
- JupyterLite: a JupyterLab distribution that runs in the browser
SymPy
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AutoCodeRover resolves 22% of real-world GitHub in SWE-bench lite
Thank you for your interest. There are some interesting examples in the SWE-bench-lite benchmark which are resolved by AutoCodeRover:
- From sympy: https://github.com/sympy/sympy/issues/13643. AutoCodeRover's patch for it: https://github.com/nus-apr/auto-code-rover/blob/main/results...
- Another one from scikit-learn: https://github.com/scikit-learn/scikit-learn/issues/13070. AutoCodeRover's patch (https://github.com/nus-apr/auto-code-rover/blob/main/results...) modified a few lines below (compared to the developer patch) and wrote a different comment.
There are more examples in the results directory (https://github.com/nus-apr/auto-code-rover/tree/main/results).
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SymPy: Symbolic Mathematics in Python
That's interesting. You should consider yourself lucky to have met Wolfram employees, as they are obviously vastly outnumbered by users of Mathematica.
I have not met any developers for either of these products but I know that SymPy has a huge list of contributors for a project of its size. See: https://github.com/sympy/sympy/blob/master/AUTHORS
You may not be hearing about SymPy users because SymPy is not a monolithic product. It is a library. If you know mathematicians big into using Python, they are probably aware of SymPy as it is the main attraction when it comes to symbolic computation in Python.
- Matrix Cookbook examples using SymPy
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Fast Symbolic Computation for Robotics
https://github.com/sympy/sympy/issues/9479 suggests that multivariate inequalities are still unsolved in SymPy, though it looks like https://github.com/sympy/sympy/pull/21687 was merged in August. This probably isn't yet implemented in C++ in SymForce yet?
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Solving a simple puzzle using SymPy
bug report opened https://github.com/sympy/sympy/issues/25507
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Stem Formulas
https://news.ycombinator.com/item?id=36463580
From https://news.ycombinator.com/item?id=36159017 :
> sympy.utilities.lambdify.lambdify() https://github.com/sympy/sympy/blob/a76b02fcd3a8b7f79b3a88df... :
>> """Convert a SymPy expression into a function that allows for fast numeric evaluation [with the CPython math module, mpmath, NumPy, SciPy, CuPy, JAX, TensorFlow, SymPy, numexpr,]*
From https://westurner.github.io/hnlog/#comment-19084622 :
> "latex2sympy parses LaTeX math expressions and converts it into the equivalent SymPy form" and is now merged into SymPy master and callable with sympy.parsing.latex.parse_latex(). It requires antlr-python-runtime to be installed. https://github.com/augustt198/latex2sympy https://github.com/sympy/sympy/pull/13706
ENH: 'generate a Jupyter notebook' (nbformat .ipynb JSON) function from this stem formula
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Vectorization: Introduction
https://en.wikipedia.org/wiki/Vectorization :
> Array programming, a style of computer programming where operations are applied to whole arrays instead of individual elements
> Automatic vectorization, a compiler optimization that transforms loops to vector operations
> Image tracing, the creation of vector from raster graphics
> Word embedding, mapping words to vectors, in natural language processing
> Vectorization (mathematics), a linear transformation which converts a matrix into a column vector
Vector (disambiguation) https://en.wikipedia.org/wiki/Vector
> Vector (mathematics and physics):
> Row and column vectors, single row or column matrices
> Vector space
> Vector field, a vector for each point
And then there are a number of CS usages of the word vector for 1D arrays.
Compute kernel: https://en.m.wikipedia.org/wiki/Compute_kernel
GPGPU > Vectorization, Stream Processing > Compute kernels: https://en.wikipedia.org/wiki/General-purpose_computing_on_g...
sympy.utilities.lambdify.lambdify() https://github.com/sympy/sympy/blob/a76b02fcd3a8b7f79b3a88df... :
> """Convert a SymPy expression into a function that allows for fast numeric evaluation [with the CPython math module, mpmath, NumPy, SciPy, CuPy, JAX, TensorFlow, SymPt, numexpr,]
pyorch lambdify PR, sympytorch: https://github.com/sympy/sympy/pull/20516#issuecomment-78428...
Sympytorch:
> Turn SymPy expressions into PyTorch Modules.
> SymPy floats (optionally) become trainable parameters. SymPy symbols are inputs to the Module.
sympy2jax https://github.com/MilesCranmer/sympy2jax :
> Turn SymPy expressions into parametrized, differentiable, vectorizable, JAX functions.
> All SymPy floats become trainable input parameters. SymPy symbols become columns of a passed matrix.
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Has anyone solved the prime number problem on SPOJ yet using pure python?
Look at sympy.isprime for a carefully-optimized pure-Python solution (though if gmpy2 is installed, which it usually is, it will use that instead after trying the easiest cases)
- What can I contribute to SciPy (or other) with my pure math skill? Iām pen and paper mathematician
- Quantum Monism Could Save the Soul of Physics
What are some alternatives?
starboard-notebook - In-browser literate notebooks
SciPy - SciPy library main repository
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
NumPy - The fundamental package for scientific computing with Python.
panel - Panel: The powerful data exploration & web app framework for Python
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
xeus-cling - Jupyter kernel for the C++ programming language
Numba - NumPy aware dynamic Python compiler using LLVM
brython - Brython (Browser Python) is an implementation of Python 3 running in the browser
NetworkX - Network Analysis in Python
streamlit - Streamlit ā A faster way to build and share data apps.
ti84-forth - A Forth implementation for the TI-84+ calculator.