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83 lines
1.6 KiB
Text
83 lines
1.6 KiB
Text
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "f11f3ba9",
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"metadata": {},
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"source": [
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"# LABS-3: Systems Project\n",
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"\n",
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"In this notebook you will run a few cells to ensure that your environment is properly set up.\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": null,
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"id": "9074b8b7",
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"metadata": {},
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"outputs": [],
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"source": [
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"## First cell\n",
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"# run this for step 11 in your instructions\n",
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"\n",
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"print(\"Hello, World!\")"
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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": "4c242432",
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"metadata": {},
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"outputs": [],
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"source": [
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"## Second cell\n",
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"# run this for step 14 in your instructions\n",
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"\n",
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"import pandas as pd"
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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": "bb9cb781",
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"metadata": {},
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"outputs": [],
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"source": [
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"## Part 3: Accessing your data\n",
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"# edit this code to load your data into your workspace\n",
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"\n",
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"data = pd.read_csv() #add your data file path to this line!\n",
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"data.head()"
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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": "ca63e2fd",
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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": ".venv",
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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": "3.11.4"
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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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