openMotor
SymPy
Our great sponsors
openMotor | SymPy | |
---|---|---|
7 | 34 | |
334 | 12,384 | |
- | 4.0% | |
5.0 | 10.0 | |
3 months ago | 2 days ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
openMotor
-
My partner’s son really wants to make a sugar rocket- what to discuss with him
keep away from PVC tubes, cause those shatter rather than peel like with cardboard or aluminium tubes. and unlike aluminium, it doesn't turn up in x-rays. don't follow online video tutorials, cause they're often simplified massively and don't explain the complexities. anyways, here's an online video tutorial (ironic) series by someone who's built much more complicated motors than pvc tubes packed with sugar. He does this at MIT, and also co-made OpenMotor, a software to get estimated chamber pressure, KN (a value proportional to the chamber pressure and surface area of burning, can't remember the exact formula for it), and thrust, plotted on a graph relative to time. There's also this site, which is basically the archive of someone who's been building amateur motors for decades, and it contains hundreds of separate pages, most of which contain extremely useful information, especially the theory section. I'm currently designing my own motor using sugar too, and these have all been a massive help.
-
What's the difference between table sugar and powdered sugar for Rocket Candy ?
You’ll also need a casing capable of safely handling the pressure, so you might as well just get a commercial reloadable motor at that point. It would be a good idea to take a step back and stop making your own motors until you have enough experience with reloadable motors to understand how they work. A good way to get familiar with the design aspects is to try replicating the performance data from existing motors in OpenMotor, which you can also use to design experimental motors around a commercial motor case.
- Rocket Analysis Code
- openMotor v0.5.0 released! Follow the link to read the changelog and download it.
- Solid propellant burn back modeling
- Way to measure model engine thrust for class
- OpenMotor: An open-source internal ballistics simulator for rocket motors
SymPy
-
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).
-
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
-
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?
-
Solving a simple puzzle using SymPy
bug report opened https://github.com/sympy/sympy/issues/25507
-
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
-
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.
-
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? I’m pen and paper mathematician
- Quantum Monism Could Save the Soul of Physics
What are some alternatives?
AeroVECTOR - Model Rocket Simulator oriented to the design and tuning of active control systems, be them in the form of TVC, Active Fin Control or just parachute deployment algorithms on passively stable rockets. It is able to simulate non-linear actuator dynamics and has some limited Software in the Loop capabilities. The program computes all the subsonic aerodynamic parameters of interest and integrates the 3DOF Equations of Motion to simulate the complete flight.
SciPy - SciPy library main repository
RocketPy - Next generation High-Power Rocketry 6-DOF Trajectory Simulation
NumPy - The fundamental package for scientific computing with Python.
nextinspace - Never miss a launch. 🚀
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
openrocket - Model-rocketry aerodynamics and trajectory simulation software
Numba - NumPy aware dynamic Python compiler using LLVM
NetworkX - Network Analysis in Python
ti84-forth - A Forth implementation for the TI-84+ calculator.
Ndless - The TI-Nspire calculator extension for native applications
PyMC - Bayesian Modeling and Probabilistic Programming in Python