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SciPy Scientific Computing Tutorial• 5 min read

Introduction to SciPy & Constants

Learn what SciPy is, how it builds upon NumPy arrays, and how to access physical, metric, and astronomical constants with scipy.constants.

What is SciPy?

SciPy (Scientific Python) is an open-source library built on top of NumPy that provides algorithms for scientific and technical computing. While NumPy gives you high-performance multi-dimensional arrays, SciPy equips you with mathematical powerhouses: numerical integration, root finding, Fourier transforms, statistics, and linear algebra.

Because SciPy uses optimized C and Fortran routines under the hood (BLAS, LAPACK, and QUADPACK), scientific scripts run at native machine speed while retaining the clean syntax of Python.

Pro Tip

SciPy is organized into specialized submodules like scipy.optimize, scipy.integrate, scipy.linalg, and scipy.signal.

Working with Physical Constants

The scipy.constants package contains hundreds of universal mathematical and physical constants, including pi, speed of light (c), Planck constant (h), gravitational acceleration (g), and unit conversion factors.

Accessing Scientific Constants
from scipy import constants

print("Speed of light (c):", constants.speed_of_light, "m/s")
print("Planck constant (h):", constants.h, "J·s")
print("Standard gravity (g):", constants.g, "m/s²")
print("1 mile in meters:", constants.mile)
print("1 atmosphere in Pascals:", constants.atm)
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Test Yourself With Exercise

+15 XP

Which SciPy module provides access to physical units like speed of light and standard gravity?