# Notebook Gallery

Links to the best IPython and Jupyter Notebooks.

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#### matplotlib - 2D and 3D plotting in Python

The latest version of this IPython notebook lecture is available at http://github.com/jrjohansson/scientific-python-lectures .

#### Visualizing distributions of data

This notebook demonstrates different approaches to graphically representing distributions of data, specifically focusing on the tools provided by the seaborn package.

#### Neural Networks

Neural networks are one approach to machine learning that attempts to deal with the problem of large data dimensionality. The neural network approach uses a fixed number of basis functions - in contrast to methods such as support vector machines ...

#### XKCD plots in Matplotlib

Update: the matplotlib pull request has been merged! See This post for a description of the XKCD functionality now built-in to matplotlib!

#### Advanced Data Visualization

There have been many examples of useful and exciting data visualizations for a variety of topics and applications.

#### Web Scraping Indeed for Key Data Science Job Skills

As many of you probably know, being a data scientist can require a pretty large skill set . . .

#### Automating Microsoft Office with Python

Windows applications, for many years, have provided a COM API for automation. This includes Microsoft Office as well.

#### Python for Data Science

This short primer on Python is designed to provide a rapid "on-ramp" to enable computer programmers who are already familiar with concepts and constructs in other programming languages learn enough about Python to facilitate the effective use of open-source and ...

#### Three-Body Problem

This notebook implements a numeric simulation of the three-body problem . This is done using the Julia Language and the Sundials library.

#### 9.1 Reading data from SQL databases

So far we've only talked about reading data from CSV files. That's a pretty common way to store data, but there are many others! Pandas can read from HTML, JSON, SQL, Excel (!!!), HDF5, Stata, and a few other things. ...

#### A Primer on Bayesian Methods for Multilevel Modeling

Hierarchical or multilevel modeling is a generalization of regression modeling.

#### INTRODUCTION TO PYTHON FOR DATA MINING

I do most of my work from the command line, but Anaconda comes with a launcher app that can be found in the ~/anaconda directory. To get the launcher to work with a Mac, you need to do the following:

#### 6.4. Visualizing a NetworkX graph in the IPython notebook with d3.js

This is one of the 100 recipes of the IPython Cookbook , the definitive guide to high-performance scientific computing and data science in Python.

#### Interactive Financial Analytics with Python & IPython

Tutorial with Examples based on the VSTOXX Volatility Index

#### No title

This web site does not host notebooks, it only renders notebooks available on other websites.

#### Scatter plots in Lightning

Style options like color and size can be passed a single value, which affects all points

#### A D3 Viewer for Matplotlib Visualizations

This notebook originally appeared as a blog post by Jake Vanderplas on Pythonic Perambulations . Content is BSD licensed

#### >>> The Traveling Salesperson Problem

Given a set of cities and the distances between each pair of cities, what is the shortest possible tour that visits each city exactly once, and returns to the starting city?

#### Faster data processing in Python

Let's discuss how to make these choices with the aim of running code faster.

#### Probabilistic Programming in Python using PyMC

Authors: Thomas V. Wiecki, John Salvatier, Christopher Fonnesbeck