Problem 0: Working with Jupyter notebooks [5 points ] Assignments in this course will be handed in as Jupyter notebooks. Jupyter notebooks (formerly known as iPython notebooks) allow you to gather you code, output, discussion and analysis all in one place. They are a valuable tool for creating reproducible science. The basic organising principle of a notebook is that it is a series of cells which contain either code (we' use Python) or formatted text (markdown). The output of a code cell is written directly below that cell. The purpose of this section is just to familiarise yourself with Jupyter notebooks. Jupyter note- books can be accessed on the first floor lab computers via the Jupyter Notebooks link in Start Physics Anaconda menu or install Anaconda on your own machine (install instructions at http://jupyter.org/install.html). There are many basic intros to Jupyter and mark down you can refer to, for example http://jupyter-notebook.readthedocs.io/en/latest/ #community-documentation. Demonstrate that you have some mastery of notebooks by starting your submission with the following a. A markdown cell containing some formatted to text with two sizes of headings, a list and the following two sentences including mathematical notation It is easy to type maths in markdown, it is like Latex. We can write inline maths like f(x)2 or displayed maths such as b. An image embedded so that the image is included at distribution (see how at http:// stackoverflow.com/questions/26068316/embedding-image-in-ipython-notebook-for-distribution) c. A plot of the function f(x) 25 for -10