Some rationalisation of 2012 exam.

Author: ggorman

notebook/exam_2012_2.18-solution.ipynb renamed to notebook/python_class_test_2012-solution.ipynb

@@ -0,0 +1,110 @@
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+  {
+   "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "2.18 Programming for Geoscientists class test 2012. "
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Note: 2013 was the first time the exam was run using iPython rather than using a text editor and the command line. This iPython version was created for the 2013 class so that they would know what to expect."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "#Test instructions\n",
+      "\n",
+      "* This test contains **5** questions each of which should be answered.\n",
+      "* Write your program in a Python cell just under each question.\n",
+      "* You can write an explanation of your solution as comments in your code.\n",
+      "* In each case your solution program must fulfil all of the instructions - please check the instructions carefully and double check that your program fulfils all of the given instructions.\n",
+      "* Save your work regularly.\n",
+      "* At the end of the test you should email your IPython notebook document (i.e. this document) to [Gerard J. Gorman](http://www.imperial.ac.uk/people/g.gorman) at g.gorman@imperial.ac.uk"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "**1.** Ignore this question from 2012 as it deals with material no longer covered."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "**2.** Write a program, that creates a *list* $t$ with 6 values, 0.1, 0.2, ..., 0.6. Compute a corresponding *list* $y$ of $y(t)$ values using the formula:\n",
+      "$$y(t) = v_0t \u2212 gt^2,$$\n",
+      "where $v_0=6.0$ and $g=9.8$.\n",
+      "\n",
+      "* Store these two lists, t and y, in a new list t1.\n",
+      "* Write out a table with a column of t and a column of y values by traversing the data in the nested t1 list.\n",
+      "* You may use list or NumPy array for t and y.\n",
+      "* Print out a table header with the column names \u2019t\u2019 and \u2019y\u2019.\n",
+      "* For printing the table, iterate the nested list t1, do not access the previously computed t and y lists directly.\n",
+      "* Print out the table t1 using format specifiers so that the columns are aligned."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "**3.** The factorial of n, written as n!, is defined as:\n",
+      "$$n! = n(n \u2212 1)(n \u2212 2)...2\\cdot1,$$\n",
+      "with the special cases\n",
+      "$$1! = 1, 0! = 1.$$\n",
+      "For example, $4! = 4\\cdot3\\cdot2\\cdot1 = 24$, and $2! = 2\\cdot1 = 2$.\n",
+      "\n",
+      "* Write a function fact(n) that returns $n!$. You **must** not use the *fact* function from the math module.\n",
+      "* Return 1 immediately if $x$ is 1 or 0, otherwise use a loop to compute $n!$.\n",
+      "* The function must be called *fact* and take a single argument called n.\n",
+      "* The software should check that the supplied value is a non-negative integer. If it is not, raise a ValueError exception."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "**4.** A table of temperatures and densities, in units of degrees ($C$) and $kg/m^3$, are given in the file *data/density\\_air.dat*\n",
+      "Write a program that reads in the data from file into a list for temperature (first column) and density (second column) and plots the variation of density against temperature.\n",
+      "\n",
+      "* The input file contains blank lines and lines starting with a \u2019#\u2019, which you must ignore when reading in the data.\n",
+      "* You may use list or NumPy array for temperature and density.\n",
+      "* Plot the variation of density against temperature.\n",
+      "* Label the x axis \"Temperature (Celsius)\" and the y axis \"Density ($kg/m^3$)\".\n",
+      "* Use the plot title \"Density of air at different temperatures, at 1 atm pressure\".\n",
+      "* Display a legend with the label \u2019Air\u2019."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "**5.** Based on the data in the file *data/constants.txt*, make a dictionary where the keys are the names of the physical constant and the values are a tuple containing the numerical value and the units.\n",
+      "\n",
+      "* Use a Python dictionary to store the data.\n",
+      "* All numerical values should be of type float.\n",
+      "* Print out the dictionary without any formatting."
+     ]
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}