meta: SciPy is an umbrella project for many open source data analysis libraries such as NumPy, pandas and Matplotlib.

[SciPy](https://www.scipy.org/) is a collection of open source code libraries

for math, science and engineering. [NumPy](/numpy.html),

[Matplotlib](/matplotlib.html) and [pandas](/pandas.html) are libraries

that fall under the SciPy project umbrella.

[Blaze](http://blaze.pydata.org/) is a similar, but separate, ecosystem

with additional tools for wrangling, cleaning, processing and analyzing data.

Take a look at the individual pages for [NumPy](/numpy.html),

[Matplotlib](/matplotlib.html) and [pandas](/pandas.html) for tutorials

specific to those projects. The following resources are broader walkthroughs

for the SciPy ecosystem:

* [SciPy Lecture notes](http://www.scipy-lectures.org/) goes into the

overall Python scientific computing ecosystem and how to use it.

* The [SciPy Cookbook](http://scipy-cookbook.readthedocs.io/) contains

instructions for various SciPy packages that were previously hosted

on the SciPy wiki.

* [Lectures in Quantitative Economics: SciPy](https://lectures.quantecon.org/py/scipy.html)

provides a good overview of SciPy compared to the specific NumPy

project, as well as explanations for the wrappers SciPy provides

over lower-level FORTRAN libraries.