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   "cell_type": "markdown",
   "id": "21fce696-79c6-457a-aa50-e6cde923b234",
   "metadata": {},
   "source": [
    "## This does the environment setup for the TSAT notebooks\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "efb8dd6a-86bb-401e-9938-515aa9f47374",
   "metadata": {},
   "source": [
    "Kats is a lightweight, easy-to-use, and generalizable framework to perform time series analysis in Python, developed by Facebook Research. You can consider Kats as a one-stop-shop for time series analysis in Python."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "50fa1dda-e95d-444c-960f-9cdb8189c0c4",
   "metadata": {},
   "source": [
    "### Before apt-get below, need to update /etc/apt/sources.list to \"https\" rather than http\n",
    " e.g., `sed -i 's/http:/https:/g' sources.list`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0aaca72c",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Install specific versions of packages for kats install\n",
    "!pip install -r requirements.txt --user\n",
    "!pip install ax-platform==0.2.4 --no-cache-dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "89449249",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Pre-requisite to install required packages\n",
    "!apt-get update && apt-get -f install -y build-essential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cce4dbfa",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Pre-requisite to install kats\n",
    "!pip install convertdate\n",
    "!pip install lunarcalendar\n",
    "!pip install holidays==0.23\n",
    "!pip install tqdm\n",
    "!pip install pystan==2.19.1.1\n",
    "!pip install fbprophet==0.7.1\n",
    "!pip install Packaging==21.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3dad6aca",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Install kats version 0.2.0\n",
    "!pip install kats==0.2.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ed11e78f-5215-4641-98c5-27a293350cd0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Show kats version to determine successful installation\n",
    "!pip show KATS | grep Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abe01dc2-da5d-41e9-890f-23d7be98fc60",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "## Python DB API 2.0 (PEP 249) client for Amazon Athena\n",
    "!pip install pyathena"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4fe59de9-a72b-4daf-a42b-6778233b815c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "## A fast and simple progress bar for Jupyter Notebook and console\n",
    "!pip install fastprogress"
   ]
  }
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