178 lines
3.0 KiB
Plaintext
178 lines
3.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "fd3ba99f-b630-408c-b8f4-e62e189c6057",
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"metadata": {},
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"source": [
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"### Python Logic Operators"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "58b1616e-9df5-426c-857b-d3017f052b07",
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"metadata": {},
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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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"False\n"
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]
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}
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],
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"source": [
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"print(1 == 2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "c87c73b4-414c-49b2-9e8f-fb3ea64f734a",
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"metadata": {},
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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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"True\n"
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]
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}
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],
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"source": [
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"print(1 != 2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "c0785e94-8795-4200-8148-50eea688e381",
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"metadata": {},
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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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"False\n"
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]
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}
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],
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"source": [
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"print(1>2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "51a3869d-14f4-4f36-89a5-8b274e6867bb",
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"metadata": {},
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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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"False\n"
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]
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}
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],
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"source": [
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"print(\"1\" == 1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d77b7f00-7eaf-4812-a2b9-57dc00dfc701",
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"metadata": {},
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"outputs": [],
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"source": [
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"### Add multiple condition"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "0c4650aa-71f5-43e1-a027-fd68db0c585e",
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"metadata": {},
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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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"True\n"
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]
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}
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],
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"source": [
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"print(1 < 10 and 1 > 0)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "97b73046-93fc-4496-bbcc-e4cd83b9e971",
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"metadata": {},
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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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"True\n"
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]
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}
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],
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"source": [
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"print(1 < 10 or 1 > 10)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "69781d14-9295-42cd-935a-eef3e4e6c1e6",
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"metadata": {},
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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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"True\n"
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]
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}
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],
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"source": [
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"print(not \"bla\" == \"blup\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e2e24ad8-fec6-4399-aada-f09f6f35b992",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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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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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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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": "3.10.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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