Resources

Books

No book is required. But we highly recommend two books for this course.

• Fluent Python: Clear, Concise, and Effective Programming, by Luciano Ramalho. Publisher: O'Reilly Media. 2015.
• Designing Data Intensive Applications, by http://dataintensive.net/, The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann. Publisher: O'Reilly Media 2014

Other useful books

• The Practice of Programming by Brian W. Kernighan and Rob Pike, Addison-Wesley, 1999.
• Skiena: The Algorithm Design Manual
• Abelson, Sussmann and Sussmann: SICP and python based online version based on it: http://composingprograms.com/
• High Performance Python: By Micha Gorelick, Ian Ozsvald. Oreilly Media 2014.
• Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation by Andreas Griewank

Papers and other readings

• Python pep8
• An opinionated guide to python style

Git

• Recommended: Git from the bottom up
• Recommended: Git Book
• GitHub Videos and Training
• GitHub Interactive Tutorial
• Git - the simple guide
• Git Reference
• Git Cheat Sheet
• Git Immersion Tutorial
• Git Atlassian Tutorial

Python

• python
• Rich overview of Python 3 language features (recommended to work through)
• Scientific visualization with Python and Matplotlib

C/C++

• Fall 2021 C/C++ primer material
• C Tutorial
• C++ Tutorial
• C++ Cheat Sheet
• C++ Reference

Vim

• Spend 30 minutes to complete the vimtutor. After you have installed vim, execute the following command in your command line: vimtutor
• Vim Cheat Sheet
• Vimcasts
• Recommended book

Bash

• Command Line Reference Cheat Sheet
• Bash scripting Cheat Sheet

Unix-Related

• Basic Computing Tools

Windows Users

• Using Linux Subsystem on Windows 10
• PuTTY SSH client for Windows

Ubuntu Docker Image

You can get an Ubuntu based Docker container with

docker pull iacs/cs107_ubuntu

The container is hosted here. The Dockerfile and run_cs107_docker.sh launch script can be found in the class repository.