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reckoner reckoner

unit step (heaviside) function in sympy? - sympy | Google Groups - 0 views

  • On Mon, May 5, 2008 at 8:22 PM, Reckoner <recko...@gmail.com> wrote: > is there a unit step (heaviside) function in sympy? > I need to work a conditional into a symbolic expression. We have sign which is basically the same thing:
reckoner reckoner

Applying sympy expressions on numpy arrays - sympy | Google Groups - 0 views

  • If I have:     from sympy import Symbol, Integrate     x = Symbol('x')     f = x**2 + x     g = Integrate(f, x) how can I apply g to a numpy array? In other words, how can I "numpify" the g expression, injecting in it x = numpy.linspace(1, 9, 9)? What would be even nicer would be to be able to retrieve a lambda using numpy functions for g as a function of x (that way I don't have the overhead of numpifying it each time I want to apply it to an array).
reckoner reckoner

sympy - Google Code - 0 views

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    SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and d
Mario Antonio Herrero Machado

Acerca de Pybonacci « Pybonacci - 0 views

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    Somos unos apasionados de Python que nos hemos decidido a rellenar el que pensamos que es un hueco importante en la blogosfera hispana: el uso de Python para aplicaciones científicas. Nuestra intención es escribir con regularidad sobre cómo podemos utilizar este lenguaje de programación fantástico que es Python para resolver problemas en ciencia e ingeniería, utilizando librerías como NumPy, SciPy, matplotlib, SymPy y muchas más. También traduciremos artículos escritos en otros idiomas que nos resulten interesantes, mostraremos pequeñas recetas y escribiremos reseñas sobre programas o bibliotecas que nos resulten interesantes.
reckoner reckoner

mpmath - Google Code - 0 views

  • Mpmath is a pure-Python library for multiprecision floating-point arithmetic. It provides an extensive set of transcendental functions, unlimited exponent sizes, complex numbers, interval arithmetic, numerical integration and differentiation, root-finding, linear algebra, and much more. Almost any calculation can be performed just as well at 10-digit or 1000-digit precision, and in many cases mpmath implements asymptotically fast algorithms that scale well for extremely high precision work. If available, mpmath will (optionally) use gmpy to speed up high precision operations.
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