Untitled.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "name = 'Lovelace'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "age = 73"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "alter = '73'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "size = 1.7123"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "knows_math = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "likes_slacking = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "names = ['Lovelace', 'Darwin', 'Curie', 'Hawking']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "name_capital = name.upper()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "age\t alter\t knows_math\t likes_slacking\t name\t name_capital\t names\t size\t \n"
     ]
    }
   ],
   "source": [
    "%who"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "authors_and_birth_years = {'Lovelace': 1882, \n",
    "                           'Darwin' : 1809, \n",
    "                           'Noether' : 1942}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1809"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "authors_and_birth_years['Darwin']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Lovelace', 'Darwin', 'Curie', 'Hawking']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lovelace\n",
      "Darwin\n",
      "Curie\n",
      "Hawking\n"
     ]
    }
   ],
   "source": [
    "for name in names:\n",
    "    print(name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lovelace did awesome stuff.\n",
      "Darwin did awesome stuff.\n",
      "Curie did awesome stuff.\n",
      "Hawking did awesome stuff.\n"
     ]
    }
   ],
   "source": [
    "for name in names:\n",
    "    print(name + ' did awesome stuff.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lovelace did awesome stuff.\n",
      "Is a scientist\n",
      "Darwin did awesome stuff.\n",
      "Is a scientist\n",
      "Curie did awesome stuff.\n",
      "Is a scientist\n",
      "Hawking did awesome stuff.\n",
      "Is a scientist\n"
     ]
    }
   ],
   "source": [
    "for name in names:\n",
    "    print(name + ' did awesome stuff.')\n",
    "    print('Is a scientist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lovelace did awesome stuff.\n",
      "Darwin did awesome stuff.\n",
      "Curie did awesome stuff.\n",
      "Hawking did awesome stuff.\n",
      "Is a scientist\n"
     ]
    }
   ],
   "source": [
    "for name in names:\n",
    "    print(name + ' did awesome stuff.')\n",
    "print('Is a scientist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bedingte Anweisungen (Conditionals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "It is warm\n"
     ]
    }
   ],
   "source": [
    "temp = 20\n",
    "if temp > 15: \n",
    "    print('It is warm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "20 > 15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "20 > 70"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "It is warm\n"
     ]
    }
   ],
   "source": [
    "temp = 18\n",
    "if temp > 25: \n",
    "    print('It is hot')\n",
    "elif temp > 15:\n",
    "    print('It is warm')\n",
    "else: \n",
    "    print('It is cold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lovelace\n",
      "Darwin\n",
      "Hawking\n"
     ]
    }
   ],
   "source": [
    "for name in names:\n",
    "    if len(name) >= 6:\n",
    "        print(name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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