Exercises week 1: Complexity Thinking

Not much happening this week yet.

$\mathcal{O}(1)$, $\mathcal{O}(n)$, $\mathcal{O}(n^m)$, $\mathcal{O}(\log{} n)$ do you know what these are?

Forget about them, this is not that kind of course.

1. Teaching assistants introduce themselves

Hello I am... How did I end up in this room with you people?

2. Student intro round

Hello my name is ... and my Bachelor was in... I think I ended up in this room on this particular day because...

3. How to read

TAs talk to you about academic reading for a little while.

4. Homework: Install things

We will be making these things called Jupyter Notebooks along the course. You will get used to them.

Install

• git. It allows you to manage versions You might already have it. Try running `git` on the command line
• Python 3. It allows you to program
• Gephi. It allows you to interactively explore graphs

Python libraries and other addons

• IPython. It makes using Python nicer
• Jupyter. It allows you to do other things, you won't see it much
• Jupyter Notebooks. It allows you to write documents, with code in them
• Pandas. It allows you do deal with data frames
• NetworkX. It allows you do deal with graphs (=networks)

Either run the following on the command line (Terminal on OSX, cmd on Windows)

pip3 install jupyter pandas networkx

Or

Use Anaconda to get Python, and the above libraries.

Give it a spin

If you installed Anaconda, do the Anaconda test drive

Go through some Jupyter Notebook tutorial.

Go through some Gephi tutorial.