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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Release Overview"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Release Overview of Wrangler v1.0\n",
+    "\n",
+    "*Compared to pre 1.0*"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Features\n",
+    "\n",
+    "1. I/O and Mutation Speed\n",
+    "2. Flexible serialization formats\n",
+    "3. Improved stability\n",
+    "4. Selection flexibility for transit based on any feature or by link or node\n",
+    "5. More flexible and fast transition to geodataframes for (almost) any data part\n",
+    "6. Easy data clipping to geographic bounds\n",
+    "7. Scripts for actions you might want to execute from command line (i.e. data conversion/clipping/etc)\n",
+    "8. Logging \n",
+    "9. Error directions\n",
+    "10. Implicit and fast validation\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Tech Overhead Investment\n",
+    "\n",
+    "1. Separation of causes prevents circular reference collisions, limits import bloat, and improves legibility/organization.\n",
+    "    - Project card functionality in project card repo\n",
+    "    - Separate modules for separate functionality\n",
+    "2. Reliability achieved through more testable code and expanding test coverage with more test cases and also anti-patterns\n",
+    "    - Testable code\n",
+    "    - Test coverage\n",
+    "3. Explicit data models that make complex data structures obvious and easy to validate\n",
+    "    - Legible\n",
+    "    - Self-documenting\n",
+    "    - Flexible\n",
+    "    - Validatable\n",
+    "4. Clean code principles that make code easier to test and maintain\n",
+    "    - more functions that do a single thing...and do it well\n",
+    "    - classes that are small - functions that access or manipulate them\n",
+    "5. Documentation\n",
+    "    - consistent and detailed functional documentation\n",
+    "    - consistent type hints\n",
+    "    - usage for modules and classes\n",
+    "    - overall documentation leverages the flexible and less bloated MkDocs package\n",
+    "6. Removes less-well-maintained dependencies\n",
+    "    - Replaces Partridge with internal functionality\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Speed\n",
+    "\n",
+    "### I/O Speed\n",
+    "\n",
+    "1. Makes the heavy shapes.geojson optional and doesn't read it in for operations that don't directly involve it.\n",
+    "2. Leverages `pandera` for speedy, vector-based data model validation for dataframes\n",
+    "3. Replaces row-based calculations for blank geographic values with vector-based calculations\n",
+    "4. Provides flexibility for I/O serialization formats that are faster – like Parquet."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Selection Speed\n",
+    "\n",
+    "1. Caches selections and references them if network hasn’t changed using hashes so that costly selections that involve connecting a shortest path don't have to be performed again."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Project Apply Speed\n",
+    "\n",
+    "1. Replaced most row-based functions with vector-based functions - new road/managed lane\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Setting roadway net speed"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Converet to model net"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Serialization Formats\n",
+    "\n",
+    "Multiple serialization formats and an API and script to translate.\n",
+    "- Parquet\n",
+    "- Geojson/json\n",
+    "- CSV\n",
+    "- Pickle"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Stability\n",
+    "\n",
+    "- Handles a lot more cases - has been tested on a lot more cases.\n",
+    "- If fails, should tell you why and what you need to do."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Transit Selection Features\n",
+    "\n",
+    "- Select by any trip or route characteristic\n",
+    "- Select by nodes or links"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## GeoDataFrames\n",
+    "\n",
+    "- All roadway tables are stored in GeoDataFrames for easy viewing\n",
+    "- Transit is easily transferred to GeoDataFrames"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Clipping\n",
+    "\n",
+    "- Easily clip roadway or transit features using API or script"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Code Complexity\n",
+    "\n",
+    "\n",
+    "\n",
+    "### Cyclomatic Complexity\n",
+    "\n",
+    "[Radon](https://radon.readthedocs.io/) \n",
+    "\n",
+    "> Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Maintainability\n",
+    "\n",
+    "### Maintainability Index\n",
+    "\n",
+    "[Radon](https://radon.readthedocs.io/) \n",
+    "\n",
+    "> Maintainability Index is a software metric which measures how maintainable (easy to support and change) the source code is. The maintainability index is calculated as a factored formula consisting of SLOC (Source Lines Of Code), Cyclomatic Complexity and Halstead volume."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}