|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "### Project 6 - Description" |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "markdown", |
| 12 | + "metadata": {}, |
| 13 | + "source": [ |
| 14 | + "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", |
| 15 | + "\n", |
| 16 | + "You should look at the techniques we used in the **Application - Pipelines - Broadcasting** video and apply them here.\n", |
| 17 | + "\n", |
| 18 | + "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", |
| 19 | + "\n", |
| 20 | + "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!)." |
| 21 | + ] |
| 22 | + }, |
| 23 | + { |
| 24 | + "cell_type": "markdown", |
| 25 | + "metadata": {}, |
| 26 | + "source": [ |
| 27 | + "When you are done with your solution you should be able to specify an arbitrary number of filters on the name field.\n", |
| 28 | + "\n", |
| 29 | + "If you specify `Chevrolet`, `Carlo` and `Landau` for three filters, your output file should contain two lines of data only:" |
| 30 | + ] |
| 31 | + }, |
| 32 | + { |
| 33 | + "cell_type": "markdown", |
| 34 | + "metadata": {}, |
| 35 | + "source": [ |
| 36 | + "```\n", |
| 37 | + "Chevrolet Monte Carlo Landau,15.5,8,350.0,170.0,4165.,11.4,77,US\n", |
| 38 | + "Chevrolet Monte Carlo Landau,19.2,8,305.0,145.0,3425.,13.2,78,US\n", |
| 39 | + "```" |
| 40 | + ] |
| 41 | + }, |
| 42 | + { |
| 43 | + "cell_type": "markdown", |
| 44 | + "metadata": {}, |
| 45 | + "source": [ |
| 46 | + "Good luck!!" |
| 47 | + ] |
| 48 | + } |
| 49 | + ], |
| 50 | + "metadata": { |
| 51 | + "kernelspec": { |
| 52 | + "display_name": "Python 3", |
| 53 | + "language": "python", |
| 54 | + "name": "python3" |
| 55 | + }, |
| 56 | + "language_info": { |
| 57 | + "codemirror_mode": { |
| 58 | + "name": "ipython", |
| 59 | + "version": 3 |
| 60 | + }, |
| 61 | + "file_extension": ".py", |
| 62 | + "mimetype": "text/x-python", |
| 63 | + "name": "python", |
| 64 | + "nbconvert_exporter": "python", |
| 65 | + "pygments_lexer": "ipython3", |
| 66 | + "version": "3.6.2" |
| 67 | + } |
| 68 | + }, |
| 69 | + "nbformat": 4, |
| 70 | + "nbformat_minor": 2 |
| 71 | +} |
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