SciPy Tutorial

Learn SciPy

SciPy is a scientific computation library that uses NumPy underneath.

SciPy stands for Scientific Python.

Learning by Reading

We have created 10 tutorial pages for you to learn the fundamentals of SciPy:

Basic SciPy

Introduction
Getting Started
Constants
Optimizers
Sparse Data
Graphs
Spatial Data
Matlab Arrays
Interpolation
Significance Tests

Learning by Examples

In our "Try it Yourself" editor, you can use the SciPy module, and modify the code to see the result.

Example

How many cubic meters are in one liter:

from scipy import constants

print(constants.liter)

SciPy Introduction

What is SciPy?

SciPy is a scientific computation library that uses NumPy underneath.

SciPy stands for Scientific Python.

It provides more utility functions for optimization, stats and signal processing.

Like NumPy, SciPy is open source so we can use it freely.

SciPy was created by NumPy's creator Travis Oliphant.

Why Use SciPy?

If SciPy uses NumPy underneath, why can we not just use NumPy?

SciPy has optimized and added functions that are frequently used in NumPy and Data Science.

Which Language is SciPy Written in?

SciPy is predominantly written in Python, but a few segments are written in C.

Where is the SciPy Codebase?

The source code for SciPy is located at this github repository https://github.com/scipy/scipy

github: enables many people to work on the same codebase.