Python4Planners - Tutorial 7 - Cheat Sheet.ipynb

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   "source": [
    "#What can I buy for lunch?\n",
    "sushi = 6.50\n",
    "subway = 8.90\n",
    "burrito = 10.00"
   ]
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    "sushi > subway"
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    "subway == sushi"
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    "burrito != subway"
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  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "sushi < subway and subway < burrito"
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    "sushi == subway or burrito > subway"
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   "cell_type": "code",
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   "source": [
    "my_budget = 5\n",
    "\n",
    "if sushi < my_budget:\n",
    "    print(\"I can have sushi for lunch\")  \n",
    "else:\n",
    "    print(\"No lunch for me\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "documents = [\"owners_consent\", \"planning_report\", \"traffic_study\", \"landscape_plan\"]\n",
    "print(documents)\n",
    "print(type(documents))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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    "type(documents)"
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    "documents[0]"
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    "documents[1]"
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    "documents[-1]"
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "documents[0] = \"soil_survey\"\n",
    "print(documents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "documents.append(\"noise_assessment\")\n",
    "print(documents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'drawings' in documents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'drawings' not in documents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if 'drawings' not in documents:\n",
    "    print('Application not complete, return to applicant')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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