SymPy @SymPy
Computer algebra system in Python. This is the official account for SymPy. sympy.org Joined July 2012-
Tweets609
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Followers4K
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Following95
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Cool to see @OpenAI demo solving a @SymPy issue (from SWE-bench) in their o3 demo today. At a glance the AI's fix looks correct (though not quite as straightforward as the true fix that was made).
I made a @SymPy GPT to play around with this. Unlike normal ChatGPT it has direct access to the latest version of SymPy (1.12) and its docs. It also tries to actually execute code whenever it can. chat.openai.com/g/g-AePkBhsFf-…
I made a @SymPy GPT to play around with this. Unlike normal ChatGPT it has direct access to the latest version of SymPy (1.12) and its docs. It also tries to actually execute code whenever it can. chat.openai.com/g/g-AePkBhsFf-…
Tutorials @SciPyConf are in full swing! Ever want to do algebra, calculus, or advanced differential equations directly in Python? Check out the “SymPy Introductory Tutorial” co-led by our @asmeurer to learn the basics of @SymPy. cfp.scipy.org/2023/talk/LJQP…
Large numbers have fewer prime factors than you might expect. johndcook.com/blog/2023/06/2…
Hand drawn, and live demo. using @SymPy easier than typing TeX ! And we can now derivate, or integrate with @numpy_team
"Use Gröbner Bases To Solve Polynomial Equations" by @jingnanshi Mice blog post showing how Gröbner Bases work using SymPy. jingnanshi.com/blog/groebner_…
@OndrejCertik @TheRealAdamG @OpenAI @SymPy @mathgpt_app does this in @streamlit. Give it a try mathgpt.streamlit.app
I noticed @OpenAI uses @SymPy in their "Code interpreter" demo at their ChatGPT plugins webpage (openai.com/blog/chatgpt-p…). I am very happy to see SymPy being used by default like this.
I integrated ChatGPT into cocalc.com as a chatbot (though much more is to come). You can just do @ and select chatgpt when chatting anywhere in cocalc (doc.cocalc.com/chat.html) and it responds. Here's an example of it knowing #sympy.
@gruntyGrunter @Hansen73337824 The maximum occurs where the derivative is zero. #SymPy code: >>> from sympy import symbols, diff, log, solveset >>> c = symbols('c') >>> diff(c ** (1 / c), c) c**(1/c)*(-log(c)/c**2 + c**(-2)) >>> solveset(-log(c)/c**2 + c**(-2), c) {E}
@vboykis I give a very brief tutorial in the appendix of my book 😊
¡¡Wow!! Gracias a @SymPy logré una mejora de x2500 (sí, no es typo) en el tiempo de ejecución de una función. De paso, uno se da cuenta de la diferencia de velocidad entre Python y C nativo. PS: No programe en C, Sympy hizo la transformación "automáticamente" por mí.
Fast way to test whether a number less than a quintillion is prime. johndcook.com/blog/2019/02/2…
>>> from sympy import factorint >>> factorint(20221124) {2: 2, 7: 2, 11: 1, 83: 1, 113: 1} >>> factorint(11242022) {2: 1, 11: 1, 511001: 1}
From a LaTeX formula to optimized code : with @SymPy , I found it was possible to automatically go from a LaTeX formatted equation through a numpy function to a JAX jit optimized function that runs 300x faster on GPU than the numpy version on CPU! Made my night & day!
Please fill out our survey about code generation in SymPy to help us understand what areas we should focus on improving as part of our work for our @cziscience grant. forms.gle/F5Ek6yQkH5fXPN…
If you ever land on a SymPy (or any other open source project) documentation page, please double check that the URL is for the official project docs (for SymPy that's docs.sympy.org). Otherwise you are likely seeing an old version of the docs hosted by someone else.

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