SymPy Exercises#
import sympy as sym
from sympy import init_session
init_session()
IPython console for SymPy 1.13.1 (Python 3.11.9-64-bit) (ground types: python)
These commands were executed:
>>> 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)
>>> init_printing()
Documentation can be found at https://docs.sympy.org/1.13.1/
Q1: Creating an expression#
Create the expression:
Then evaluate it for
Q2: Factoring a polynomial, and finding its roots#
Factor
Then find its zeros.
Q3: Integratation and differentiation#
Integrate the function:
Then differentiate the result to see if you get back the original function
Q4: Parsing an expression#
Write a program that reads in a mathematical expression as a string (e.g., "sin(2*pi*x)"
), converts it to a SymPy expression, and then evaluates it as needed.
Have your program either make a plot of the entered function, or use the input function as the function to fit a dataset to using curvefit.
The following will be helpful:
parse_expr()
will convert a string into a SymPy expression
from sympy.parsing.sympy_parser import parse_expr
s = "sin(2*pi*x)"
a = parse_expr(s)
a
sympy.lambdify()
will convert a SymPy expression into a function that is callable by python. You can make it a numpy-compatible function too (this means, e.g., that any sin()
in your SymPy expression will be evaluate using np.sin()
)
f = sym.lambdify(x, a, "numpy")
f(1.0)
#help(lambdify)
Q5: Units#
SymPy can deal with physical units. See:
http://docs.sympy.org/latest/modules/physics/units/quantities.html
Let’s try this out. Newton’s 2nd law is
Create a mass of 1 kg and an acceleration of 10 m/s\(^2\), and compute the force, \(F\), and express the result in Newtons.
Note: the convert_to
function was added in SymPy 1.1, so if you are using an earlier version, you will need to divide by the target unit to do the conversion.