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nalsb

The 10 programs from the Numerical Methods for Scientific Computing lab manual, packaged as a Python library. Ask for a program's source code with one line.

pip install nalsb
import nalsb as na

print(na.ques(4))        # program 4 (Newton-Raphson) + the lab-manual example
print(na.ans(4))         # program 4 + 2 worked examples with outputs

print(na.ques("gauss"))  # names work too: all lower case, no spaces
print(na.ans("jacobi"))

na.run("simpson")        # execute a program straight away
na.programs()            # list numbers and names

If you prefer no quotes, import the names:

from nalsb import *
import nalsb as na
print(na.ques(gauss))
print(na.ans(jacobi))

Programs

# name program
1 floating Floating-point errors & loss of significance
2 gauss Gaussian elimination with partial pivoting
3 jacobi Jacobi iterative method
4 newton Newton-Raphson method
5 lagrange Lagrange polynomial interpolation
6 leastsquares Least squares data fitting
7 simpson Simpson's rule integration
8 euler Euler's method for ODEs
9 rk4 Runge-Kutta (RK4) method for ODEs
10 power Power method for the dominant eigenvalue

Common alternative spellings ("newtonraphson", "rungekutta", "simpsons", "lsq", ...) are accepted as well, and so are "Gauss" or "Runge-Kutta" (case, spaces and punctuation are ignored).

Development

pip install -e . pytest
pytest

License

GPL-3.0-or-later. Copyright (C) 2026 Lakshit Singh Bisht lakshitsinghbishttm@gmail.com.

Metadata

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