ngcm-tutorial

Materials for the IPython/Jupyter workshop at the NGCM Summer Academy, at Southampton University, Boldrewood campus.

Teaching blocks from 9:30-11am, 11:30am-1pm, 2:30-3:30pm and 4-5:30pm. There will be coffee breaks at 11 am and 3:30 pm and a 1 hour lunch break from 1-2 pm.

Installation:

Anaconda pandoc latex git github account

http://ngcm.soton.ac.uk/summer-academy/ipython.html

Lecture key; 1, 2, 4 are 1:30h, 3 is 1h. 5 is really a little demo at the end of lecture 4.

IPython

3-day course 24, 25 and 26 June 2015 At Southampton University, Boldrewood campus, 175/1025

Course content

Python provides tools for interactive and parallel computing that are widely used in scientific computing. We will show some uses of IPython for scientific applications, focusing on exciting recent developments, web-based notebook with code, graphics, and rich HTML.

In this advance tutorial we will mostly focus on the notebook format and capability of the IPython web notebook.

Day 1: Core IPython

Notebook Basics IPython - beyond plain python Markdown Cells Rich Display System Introduction to Interactive Javascript Widgets Customizing IPython - a condensed version

Day 1 End Demo: rpy2, pyjulia

Day 2: Interactivity and the Jupyter project

The architecture of interactive widgets Developing custom widgets Notebooks as documents: sharing and converting them Beyond Python: the Jupyter architecture with Julia and R The Jupyter Hub: multiuser Jupyter environments

Day 2 End Demo: other kernels (R, Julia, etc)

Day 3: Parallel computing with IPython

Overview of the IPython.parallel model Controller and engines Basics of remote execution Direct vs task execution Integration with MPI codes Handling dependencies between tasks Performance considerations

Day 3 wrap-up: Architecture

1. Single cell
2. Thebe
3. JupyterHub
4. try.jupyter.org
5. ipymd
6. embedding
7. nbformat

Software Requirements

Python 3.x IPython stable (version 3.1) installed with the notebook. It should be available through the usual distribution channel, such Anaconda. Your favorite text editor. If you have trouble installing Anaconda, this blog entry may help. To install the packages required for this course and the Pandas course using Anaconda, create a suitable environment using

conda create -n ngcm python=3 numpy scipy ipython ipython-notebook pandas matplotlib pyzmq tornado Then, to use this environment, enter

source activate ngcm Checking your installation

You can download and run this ipython-version-check.py script, and execute it using "python ipython-version-check.py" to check you have fulfilled the installation requirements.

Required knowledge

Basic Python, some vague notion of html would be great. The trainer

Fernando Perez

Demonstrators: Max Albert, Josh Greenhalgh

Infrastructure

Etherpad IPython Slack channel "ipython"