PracticeForExam
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@ -66,8 +66,49 @@
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[100, 90, 80, 70, 60, 50, 40, 30, 20, 10]\n",
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"[2, 3]\n",
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"{'alma': 10, 'körte': 20, 'barack': 30}\n"
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]
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},
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{
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"ename": "TypeError",
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"evalue": "len() takes exactly one argument (0 given)",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[7], line 20\u001b[0m\n\u001b[1;32m 16\u001b[0m mydict\u001b[38;5;241m.\u001b[39mupdate({mylist[i] : \u001b[38;5;28mint\u001b[39m(mylist[i\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m1\u001b[39m])})\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28mprint\u001b[39m(mydict)\n\u001b[0;32m---> 20\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__doc__\u001b[39m)\n",
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"\u001b[0;31mTypeError\u001b[0m: len() takes exactly one argument (0 given)"
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]
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}
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],
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"source": [
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"tomb = [i*10 for i in range(10, 0,-1)]\n",
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"\n",
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"print(tomb)\n",
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"\n",
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"\n",
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"lista1 = [-1, 2, 0, 3]\n",
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"lista2 = [i for i in lista1 if i > 0]\n",
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"\n",
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"print(lista2)\n",
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"\n",
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"todict = 'alma,10,körte,20,barack,30'\n",
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"mylist = todict.split(',')\n",
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"mydict = {}\n",
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"\n",
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"for i in range(0, len(mylist)-1, 2):\n",
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" mydict.update({mylist[i] : int(mylist[i+1])})\n",
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"\n",
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"print(mydict)\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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@ -83,7 +124,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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@ -97,7 +138,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.3"
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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