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added Part2 - Project 6
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Project 6 - Description"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The goal of this project is to rewrite the pull pipeline we created in the **Application - Pipelines - Pulling** video in the **Generators as Coroutines** section.\n",
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"\n",
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"You should look at the techniques we used in the **Application - Pipelines - Broadcasting** video and apply them here.\n",
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"\n",
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"The goal is to write a pipeline that will push data from the source file, `cars.csv`, and push it through some filters and a save coroutine to ultimately save the results as a csv file.\n",
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"\n",
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"Try to make your code as generic as possible, and don't worry about column headers in the output file (unless you really want to!)."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"When you are done with your solution you should be able to specify an arbitrary number of filters on the name field.\n",
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"\n",
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"If you specify `Chevrolet`, `Carlo` and `Landau` for three filters, your output file should contain two lines of data only:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"```\n",
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"Chevrolet Monte Carlo Landau,15.5,8,350.0,170.0,4165.,11.4,77,US\n",
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"Chevrolet Monte Carlo Landau,19.2,8,305.0,145.0,3425.,13.2,78,US\n",
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"```"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Good luck!!"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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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": "3.6.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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