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add blank notebook
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "c1a7e244",
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"metadata": {},
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"source": [
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"<a target=\"_blank\" href=\"https://colab.research.google.com/github/lukebarousse/Python_Data_Analytics_Course/blob/main/4_Problems/Blank Python Notebook.ipynb\">\n",
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" <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
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"</a>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e9a14a61",
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"metadata": {},
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"source": [
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"# Blank Python Notebook\n",
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"A blank Colab notebook to work practice problems from my [\"Python for Data Analytics Course\"](https://www.youtube.com/watch?v=wUSDVGivd-8)."
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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": "cee9fe11",
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install datasets\n",
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"import pandas as pd\n",
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"from datasets import load_dataset\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"dataset = load_dataset('lukebarousse/data_jobs')\n",
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"df = dataset['train'].to_pandas()\n",
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"\n",
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"df['job_posted_date'] = pd.to_datetime(df['job_posted_date'])"
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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": "31e0af19",
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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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"language_info": {
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"name": "python"
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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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