Added resources from CS107

content/pages/resources.md

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+Title: Resources
+Category: Resources
+Slug: resources
+Date: 2024-08-19
+Tags: Git, Unix, Python
+
+## 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/](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/](http://composingprograms.com/)
+- High Performance Python: By Micha Gorelick, Ian Ozsvald. Oreilly Media 2014.
+
+
+## Papers and other readings
+
+- [Python pep8](https://www.python.org/dev/peps/pep-0008/)
+- [An opinionated guide to python style](https://github.com/amontalenti/elements-of-python-style)
+
+## Git
+
+* **Recommended:** [Git from the bottom up](https://jwiegley.github.io/git-from-the-bottom-up/)
+* **Recommended:** [Git Book](http://git-scm.com/book/en/v2)
+* [GitHub Videos and Training](https://www.youtube.com/user/github)
+* [GitHub Interactive Tutorial](https://try.github.io/levels/1/challenges/1)
+* [Git - the simple guide](http://rogerdudler.github.io/git-guide/)
+* [Git Reference](https://git-scm.com/docs)
+* [Git Cheat Sheet](https://education.github.com/git-cheat-sheet-education.pdf)
+* [Git Immersion Tutorial](http://gitimmersion.com)
+* [Git Atlassian Tutorial](https://www.atlassian.com/git/tutorials)
+
+## Python
+
+* [python](https://www.python.org/about/gettingstarted/)
+* [Rich overview of Python 3 language features](https://learnxinyminutes.com/docs/python/) (recommended to work through)
+* [Scientific visualization with Python and Matplotlib](https://github.com/rougier/scientific-visualization-book)
+
+## 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](https://devhints.io/vim)
+* [Vimcasts](http://vimcasts.org/)
+* [Recommended book](https://www.amazon.com/Practical-Vim-Edit-Speed-Thought/dp/1680501275)
+
+## Bash
+
+* [Command Line Reference Cheat Sheet](https://files.fosswire.com/2007/08/fwunixref.pdf)
+* [Bash scripting Cheat Sheet](https://devhints.io/bash)
+
+## Unix-Related
+
+* [Basic Computing Tools](https://missing.csail.mit.edu/)
+
+## <a id="windows"></a><a class="anchor-link" href="#windows">Windows Users</a>
+
+* [Using Linux Subsystem on Windows 10]({attach}/pages/media/linux_subsystem.pdf)
+* [PuTTY SSH client for Windows](https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html)
+
+<!-- ## <a id="docker"></a><a class="anchor-link" href="#docker">Ubuntu Docker Image</a>
+
+You can get an Ubuntu based Docker container with
+
+```bash
+docker pull iacs/cs107_ubuntu
+```
+
+The container is hosted [here](https://hub.docker.com/r/iacs/cs107_ubuntu/tags).
+The `Dockerfile` and `run_cs107_docker.sh` launch script can be found in the
+[class repository](https://code.harvard.edu/CS107/main/tree/master/docker). -->