python Programming Glossary: numerically
Evaluate sympy expression from an array of values http://stackoverflow.com/questions/10678843/evaluate-sympy-expression-from-an-array-of-values detail id 537 Second If you want to evaluate something numerically for many values SymPy is not the best choice it is a symbolic.. and scipy. However a valid reason to evaluate something numerically will be that deriving the expression to be evaluated was hard..
Python/numpy floating-point text precision http://stackoverflow.com/questions/12502122/python-numpy-floating-point-text-precision Surprisingly the result is natural looking and numerically correct. More info on the 2.7 3.2 repr can be found in What's..
plotting orbital trajectories in python http://stackoverflow.com/questions/16049390/plotting-orbital-trajectories-in-python bin env python # This program solves the 3 Body Problem numerically and plots the trajectories import pylab import numpy as np import..
Speeding up a closest point on a hyperbolic paraboloid algorithm http://stackoverflow.com/questions/18858448/speeding-up-a-closest-point-on-a-hyperbolic-paraboloid-algorithm point to a point p but scipy.optimize can do the job numerically for you import numpy as np from scipy.optimize import minimize.. no exact analytical solution although you could solve that numerically with numpy only. An easier option is to work out those equations..
Weighted standard deviation in NumPy? http://stackoverflow.com/questions/2413522/weighted-standard-deviation-in-numpy numpy.average values average 2 weights weights # Fast and numerically precise return average math.sqrt variance share improve this..
Spline representation with scipy.interpolate: Poor interpolation for low-amplitude, rapidly oscillating functions http://stackoverflow.com/questions/7906126/spline-representation-with-scipy-interpolate-poor-interpolation-for-low-amplitu for low amplitude rapidly oscillating functions I need to numerically calculate the first and second derivative of a function for..
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