SymPy is…
- Free: Licensed under BSD, SymPy is free both as in speech and as in beer.
- Python-based: SymPy is written entirely in Python and uses Python for its language.
- Lightweight: SymPy only depends on mpmath , a pure Python library for arbitrary floating point arithmetic, making it easy to use.
- A library: Beyond use as an interactive tool, SymPy can be embedded in other applications and extended with custom functions.
Projects using SymPy
This is an (incomplete) list of projects that use SymPy. If you use SymPy in your project, please let us know on our mailinglist , so that we can add your project here as well.
- Cadabra : Tensor algebra and (quantum) field theory system using SymPy for scalar algebra.
- ChemPy : A package useful for chemistry written in Python.
- EinsteinPy : A Python package for symbolic and numerical General Relativity.
- galgebra : Geometric algebra (previously sympy.galgebra).
- LaTeX Expression project : Easy LaTeX typesetting of algebraic expressions in symbolic form with automatic substitution and result computation).
- Lcapy : Experimental Python package for teaching linear circuit analysis.
- OctSymPy : A Symbolic Package for Octave using SymPy.
- Optlang : A Python package for solving mathematical optimization problems.
- PyDy : Multibody dynamics in Python.
- pyneqsys : Solve symbolically defined systems of non-linear equations numerically.
- pyodesys : Straightforward numerical integration of ODE systems from Python.
- Quameon : Quantum Monte Carlo in Python.
- Quantum Programming in Python : Quantum 1D Simple Harmonic Oscillator and Quantum Mapping Gate.
- SageMath : Open source mathematics system that includes SymPy.
- Scikit-fdiff : Finite differences discretization.
- SfePy : Simple finite elements in Python.
- Spyder : The Scientific Python Development Environment, a Python equivalent to Rstudio or MATLAB; full SymPy support can be enabled in Spyder's IPython Consoles .
- Symbolic statistical modeling : Adding statistical operations to complex physical models.
- yt : Python package for analyzing and visualizing volumetric data ( unyt , the yt unit system, uses SymPy).
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持 码农网
猜你喜欢:
本站部分资源来源于网络，本站转载出于传递更多信息之目的，版权归原作者或者来源机构所有，如转载稿涉及版权问题，请联系我们。
极致：互联网时代的产品设计
戴维•罗斯 / 中信出版集团 / 2016-6 / 49.00元
在不远的未来，日常物品将能够迅速理解我们的需求，改善我们的生活，并随处可见。为了实现这一预期，我们需要能够发现用户使用产品的场景，找到用户高频刚需痛点的产品设计者。 站在下一个转型发展的悬崖上，我们看到技术将更具人性。随着物联网的发展，我们习以为常的数百件日常物品：汽车、钱包、手表、雨伞甚至垃圾桶，都将回应我们的需求，了解我们，学习为我们思考。最先出现的智能硬件为什么是智能手环、无人驾驶汽车......一起来看看 《极致：互联网时代的产品设计》 这本书的介绍吧!
