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   "source": [
    "# Exercises: python basics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercice 1.1 \n",
    "What does `myString[0:10:2]` do?  \n",
    "What could the `2` mean in that context?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "\n",
    "## Exercice 1.2 \n",
    "I am trying to make a division. Could you make my code work?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=12\n",
    "b='36'\n",
    "division = b/a\n",
    "print(division)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "\n",
    "## Exercice 1.3 \n",
    "1. Put your favorite quote in a string variable.\n",
    "2. Find a way to replace all spaces by '@' in the quote."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "\n",
    "## Exercise 1.4\n",
    "Use the `find()` method to determine the position(s) of the motif \"CTCGA\":\n",
    "    \n",
    "GTGCCCCTCGAGAGGAGGGCGCGCGCCGCGCGCTCGACGCGATCGGCGCTCAGCGAGCGAGCTCCTCGAAGCGATCCGCGCGCGCT\n",
    "\n",
    "What is a limitation here?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>\n",
    "\n",
    "# Additonal Exercises\n",
    "\n",
    "## Additional Exercise 1.1\n",
    "Consider the two dictionnaries below, describing the number of PhD degrees delivered in 1999 in the US (adapted from [nsf data](http://www.nsf.gov/statistics/infbrief/nsf11305/)):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "science_doc = {\"Agricultural sciences\": 1065,\n",
    "                \"Biochemistry\": 759,\n",
    "                \"Molecular biology\": 716,\n",
    "                \"Neurosciences\": 431,\n",
    "                \"Other biological sciences\": 3675,\n",
    "                \"Computer sciences\": 856,\n",
    "                \"Earth, atmospheric, and ocean sciences\": 706,\n",
    "                \"Mathematics\": 1083,\n",
    "                \"Chemistry\": 2132,\n",
    "                \"Physics and astronomy\": 715,\n",
    "                \"Astrology\": 2012, \n",
    "                \"Psychology\": 3668,\n",
    "                \"Social sciences\": 4063}\n",
    "\n",
    "engineering_doc = {\"Aerospace/aeronautical engineering\": 206,\n",
    "                    \"Chemical engineering\": 576,\n",
    "                    \"Civil engineering\": 506,\n",
    "                    \"Electrical engineering\": 1236,\n",
    "                    \"Industrial/manufacturing engineering\": 211,\n",
    "                    \"Materials science engineering\": 393,\n",
    "                    \"Mechanical engineering\": 786,\n",
    "                    \"Other engineering\": 1416 }\n",
    "\n",
    "humanities_doc = {\"Foreign languages and literature\": 626,\n",
    "                    \"History\": 960,\n",
    "                    \"Letters\": 1516,\n",
    "                    \"Other humanities\": 1934}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. merge these three dictionnaries in a `all_doc` dictionnary\n",
    "2. what is the length of the `all_doc` dictionnary\n",
    "3. add the \"Health\" doctorates of the `all_doc` dictionnary, with 1407 degrees awarded.\n",
    "4. multiply by 2 the number of Physics and astronomy degrees in `all_doc`.\n",
    "5. remove the Astology key from `all_doc`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "\n",
    "## Additional Exercise 1.2\n",
    "set a variable called `isDivisible` to `True` if 7453102041884640481897 is evenly divisible by 135138672131"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "\n",
    "## Additional Exercise 1.3\n",
    "\n",
    "Here is a list containing the name of all swiss cantons.\n",
    "\n",
    "1. sort it alphabetically\n",
    "2. reverse it\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cantonList = [\n",
    "    'Zürich',\n",
    "    'Bern',\n",
    "    'Luzern',\n",
    "    'Uri',\n",
    "    'Schwyz',\n",
    "    'Obwalden',\n",
    "    'Nidwalden',\n",
    "    'Glarus',\n",
    "    'Zug',\n",
    "    'Fribourg',\n",
    "    'Solothurn',\n",
    "    'Basel-Stadt',\n",
    "    'Basel-Landschaft',\n",
    "    'Schaffhausen',\n",
    "    'Appenzell Ausserrhoden',\n",
    "    'Appenzell Innerrhoden',\n",
    "    'St. Gallen',\n",
    "    'Graubünden',\n",
    "    'Aargau',\n",
    "    'Thurgau',\n",
    "    'Ticino',\n",
    "    'Vaud',\n",
    "    'Valais',\n",
    "    'Neuchâtel',\n",
    "    'Geneva',\n",
    "    'Jura']"
   ]
  }
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