2 - Python Basics.ipynb

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    "# Some Python Basics"
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    "* This is a jupyter notebook. It's nice.\n",
    "* You can execute python here and see the results. You can also type (markdown) text in cells."
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   "source": [
    "3 + 7 + 10"
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     "text": [
      "hello\n"
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    "print(\"hello\")"
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    "# Variable assignment and types\n",
    "**Numbers**"
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    "x = 3"
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   "source": [
    "x + 7 # try a few things here with x"
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    "**Strings**\n",
    "\n",
    "Since we are doing text mining, understanding how python handled strings is important."
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   "execution_count": 7,
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   "source": [
    "s = \"now is the time for all good men to come to the aid of their country\""
   ]
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   "execution_count": 8,
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       "68"
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   "source": [
    "len(s)"
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       "'t'"
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    "s[7]"
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   "source": [
    "**\"Slicing\" Strings**"
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    "s[5:13]"
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    "s[:10]"
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   "source": [
    "s2 = 'now and again' + 'this and that'"
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   "source": [
    "**Lists**"
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   "source": [
    "color_list = ['red', 'orange', 'yellow', 'green']"
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    "len(color_list)"
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    "color_list[2] = \"blah\"\n",
    "print(color_list)"
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    "my_list = [3, 5, 7, 23, 7]"
   ]
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    "**Slicing lists**"
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    "my_list[0:2]"
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    "**Dictionaries**"
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    "my_dict = {\"bruce\": \"a very nice fellow\", \"computer\": \"thing for computing\"}"
   ]
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   "execution_count": null,
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   "source": [
    "my_dict[\"bruce\"]"
   ]
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   "execution_count": null,
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   "source": [
    "my_dict[\"bruce\"] = \"nice fellow now with tenure\""
   ]
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   "execution_count": null,
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    "my_dict"
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   "source": [
    "# Defining a function"
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    "def myfunction(x):\n",
    "    y = x * 3\n",
    "    return y"
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   "execution_count": null,
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   "source": [
    "myfunction(4)"
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