SymPy Live shell allows you to use SymPy in the browser without the need to install anything on your computer. The following commands are executed by default: [1]: from sympy import * x, y, z, t = symbols('x y z t') k, m, n = symbols('k m n', integer=True) f, g, h = symbols('f g h', cls=Function)

SymPy 实时 shell 允许你在浏览器中使用 SymPy，而无需在计算机上安装任何内容。 默认情况下执行以下命令 [1]: from sympy import * x, y, z, t = symbols('x y z t') k, m, n = symbols('k m n', integer=True) f, g, h = symbols('f g h', cls=Function)

The SymPy Live shell is a thin wrapper around the repl app in the JupyterLite. In order to reduce the maintenance needs, we leverage the code from the jupyterlite/demo project, and provide only minimal customization: a custom landing page that loads the REPL in an iframe.

Online Shell for SymPy (sympy-live) is a simple web application based on Google App Engine, which allows to evaluate Python code with SymPy in web browsers. This is accomplished by providing a HTML/JavaScript GUI for entering source code and visualization of output, and a server part which evaluates the requested source code.

2020年2月26日 · SymPy Live shell是一个完全交互式的Python shell。您可以在输入框中键入任何表达式来求值。您可以在整个教程中随意使用它来进行试验。 要随时显示或隐藏SymPy Live shell，只需单击屏幕右下角的绿色按钮。 默认情况下，SymPy Live shell使用LATEX进行输出。

SymPy is a Python library for symbolic mathematics. If you are new to SymPy, start with the introductory tutorial. This is the central page for all of SymPy’s documentation. Instructions on how to install SymPy. Tutorials are the best place to start for …

SymPy Live 可以用来解决各种数学问题，包括代数、微积分、几何、概率统计等。 它的功能非常强大，可以满足大部分数学计算的需求。 此外，SymPy Live 还支持 LaTeX 排版，可以直接生成漂亮的数学公式，非常适合在学术论文、报告中使用。

sympy/live: SymPy Live Shell based on the JupyterLite and Pyodide - Forgejo: Beyond coding. We Forge. This repo contains the JupyterLite config files used by the new SymPy Live. The code is deployed as a static site to GitHub Pages. Alternative URLs: JupyterLite is being tested against modern web browsers:

2023年2月1日 · 10、Sympy Live Shell. https://live.sympy.org. 一个 Jupyter Notebook 风格的 REPL，带有一个很小的用户界面，非常适合简略的代码。它完全在浏览器中使用 JupyterLite 运行 JupyterLab，而不是在服务器上运行。 11、OnlineGDB. https://www.onlinegdb.com/online_python_interpreter

SymPy Live shell allows you to use SymPy in the browser without the need to install anything on your computer. The following commands are executed by default: [1]: from sympy import * x, y, z, t = symbols('x y z t') k, m, n = symbols('k m n', integer=True) f, g, h = symbols('f g h', cls=Function)