Python Bootcamp

Class Information

Lecture

Monday, July 24 - Thursday, July 27, 9:30AM - 12:00PM

Location

136 DeBartolo Hall

Instructor

Instructor

Peter Bui (pbui@nd.edu)

Office Location

350 Fitzpatrick Hall, Notre Dame, IN 46556

Date	Topics	Materials
07/24	Day 1: Programming and Python	Slides Notebook
07/25	Day 2: Basic Syntax and Control Flow	Slides Notebook
07/26	Day 3: Functions and Lists	Slides Notebook
07/27	Day 4: Simulation and Visualization	Slides Notebook

Textbooks

• Automate the Boring Stuff with Python

  A book dedicated to teaching beginnings how to program in Python. The website includes a variety of extra resources including videos.

• Python for Informatics: Exploring Information

  A set of course materials for introducing Python to informaticians. The website includes a variety of resources including multiple versions of the book, slides, videos, audio, and more. The book is based on Think Python: How to Think Like a Computer Scientist.

• A Byte of Python

  A free book on programming using the Python language.

• Python Scientific Lecture Notes

  A collection of lecture notes used to train scientists interesting in utilizing Python in their workflows. The notes are available in PDF and HTML format.

• The Art and Craft of Programming

  A book that provides an overview of the basics of programming in Python.

### Software - [Python] The official Python programming language website. - [Anaconda](https://store.continuum.io/cshop/anaconda/) A large and relatively complete Python distribution for large-scale data processing, predictive analytics, and scientific computing. - [Enthought Python Distribution](http://www.enthought.com/products/epd_free.php) A free lightweight Python distribution geared towards scientific computing. - [PythonXY](http://code.google.com/p/pythonxy/) Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization. - [Sage Math](http://www.sagemath.org/) A free open-source mathematics software system.

### References - [Python 2.7 Documentation](http://docs.python.org/2.7/) The documentation included with [Python] 2.7, which is the version we will be using. - [Online Python Tutor](http://pythontutor.com/) An interactive website you can use to visually trace through the execution of your [Python] code. - [PythonBooks: The best free Python resources](http://pythonbooks.revolunet.com/) A collection of free Python books. - [Python Programming](http://en.wikibooks.org/wiki/Python_Programming) An incomplete Wiki Book about programming in [Python]. - [Python Module of the Week](http://www.doughellmann.com/PyMOTW/contents.html) A collection of tutorials on how to use a variety [Python]'s many included modules. - [Python For Beginners](http://www.pythonforbeginners.com/) A blog filled with tutorials and lessons on Python and its various libraries. - [Getting started with Python in HPC](http://andy.terrel.us/blog/2012/09/27/starting-with-python/) A collection of links to various Python resources related to high performance computing.