PythonicGeodynamicsMorra/Version Old Ch01.ipynb

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   "cell_type": "markdown",
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   "source": [
    "Let's familiarize with some types of variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "1\n",
      "1.0\n",
      "a\n"
     ]
    }
   ],
   "source": [
    "a=1; print(a)\n",
    "a=1.0; print(a)\n",
    "a='a'; print(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The types that we looked at here above are called \"integer\", \"float\" and \"string\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And now let's make test some mathematical operations with these different types:"
   ]
  },
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   "cell_type": "code",
   "execution_count": 15,
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      "text/plain": [
       "4"
      ]
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     "execution_count": 15,
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   ],
   "source": [
    "2+2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.0"
      ]
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     "execution_count": 7,
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   "source": [
    "2+2.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "27"
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     "execution_count": 8,
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   "source": [
    "3**3"
   ]
  },
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       "27.0"
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     "execution_count": 9,
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   "source": [
    "3.0**3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "6/2"
   ]
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   "execution_count": 11,
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       "0.3333333333333333"
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     "execution_count": 11,
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   "source": [
    "2/6"
   ]
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  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ab'"
      ]
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     "execution_count": 12,
     "metadata": {},
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   ],
   "source": [
    "'a'+'b'"
   ]
  },
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   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "invalid literal for int() with base 10: '5.99'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-13-71fb85927b44>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3.2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5.99\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'5.99'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m#this will give you error\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'5.99'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m#this works\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: '5.99'"
     ]
    }
   ],
   "source": [
    "Play with the formulas on top, to become accostomed to the #You can also change the type of each variable:\n",
    "int('32')\n",
    "str(3.2)\n",
    "int(5.99)\n",
    "int('5.99') #this will give you error\n",
    "int(float('5.99')) #this works"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I like Geodynamics!\n"
     ]
    }
   ],
   "source": [
    "#function example\n",
    "def printSomething():\n",
    "    print('I like Geodynamics!')\n",
    "printSomething()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2432902008176640000\n"
     ]
    }
   ],
   "source": [
    "#factorial calculation using recursive function\n",
    "def fact(n):\n",
    "    if n==1:\n",
    "        return 1\n",
    "    else:\n",
    "        return n*fact(n-1)\n",
    "print(fact(20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n",
      "ciaociao\n"
     ]
    }
   ],
   "source": [
    "def doublePrint(a):\n",
    "    print(a+a)\n",
    "doublePrint(2)\n",
    "doublePrint('ciao')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6\n",
      "ciao\n",
      "64\n",
      "<function congratulateGrade at 0x7f3ca412c378>\n"
     ]
    }
   ],
   "source": [
    "#Conditional statements\n",
    "def congratulateGrade(grade):\n",
    "    if grade=='F':\n",
    "        print('Mmm, something went wrong')\n",
    "    elif grade=='D':\n",
    "        print('Not the best performance')\n",
    "    elif grade=='C':\n",
    "        print('It is ok!')\n",
    "    elif grade=='B':\n",
    "        print('Very good!')\n",
    "    elif grade=='A':\n",
    "        print('Fantastic!')\n",
    "\n",
    "for x in [6,'ciao',8*8,congratulateGrade]: \n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "499500\n"
     ]
    }
   ],
   "source": [
    "sum=0\n",
    "for x in range(1000):\n",
    "    sum+=x\n",
    "print(sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1 2 3 4 5 6 7 8 9]\n"
     ]
    }
   ],
   "source": [
    "from numpy import *\n",
    "a=arange(10)\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0  1  2  3  4  5  6  7  8  9 10 11]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "b=np.arange(12)\n",
    "print(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "collapsed": true
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   "outputs": [],
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