#100DaysOfCode in Python Transcripts
Chapter: Days 37-39: Using CSV data
Lecture: Demo: Getting started with CSV processing
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Alright let's create our little application for our demo
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that will let us work with the CSV data.
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I'm over here in the actual GitHub repository
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and we're going to create our application here.
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Now I want to create a virtual environment in here
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before we get started
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and maybe I'll even name it venv
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So, I'm going to go to that same folder in my terminal here
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and I'm going to run the command
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to create the virtual environment
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before I open this in PyCharm.
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Alright.
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If you were going to continue working in the terminal here
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and you wanted to say, run Python commands
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you would do this on Mac and that would activate it,
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and if you were on Windows you would just
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say venv\scripts\activate.bat like that.
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Either way, I guess you would use backslashes wouldn't you?
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But, until you get started here
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I'm not going to worry about this because
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I'm going to work in PyCharm and so
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if I throw this over here or on Windows or Linux
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say file, open directory it'll open this up
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and I'll go ahead and let it add the GitHub root
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doesn't matter so much for you guys
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but I'm going to of course check all the stuff in.
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Now, we can just go to our virtual environment
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and say let's just ignore this,
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it doesn't really matter
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and we're just going to get started like we have been
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by creating a program.py
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this is going to be our little way to explore,
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and this is going to be the top level thing
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that we want to work with.
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So, I'm just going to print out kind of the basic structure
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of what we're going to do in terms of working with this data
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and then we'll actually go write the code to implement that.
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So, I'm going to define a main method here
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and just for a minute I'm going to do the pass.
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We'll do this little structure that is very common in Python
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that says only directly execute this code
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if it's being invoked directly,
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if it's being used as a library.
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Don't run main just leave the other functions here.
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So this is the common pattern
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and we're going to print out a few things.
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We'll print out a little header value.
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Alright, so weather research for Seattle 2014 to 2015
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and we'll just put a blank line like that.
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And then we're going to need to initialize the data.
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Spelling is hard that's why PyCharm can fix it for us.
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Okay, so that's going to be great
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and once we get down here,
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we want to answer the questions.
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What, say, the hottest five days?
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And then we'll say to do show the days.
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And we're going to do this for a couple of different ways.
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I'm going to come in here and I want to answer
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the coldest five days and the wettest five days.
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So, this is our goal is to run
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basically answer these questions
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and we're going to do that by reading that CSV file.
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Before we do, let's just really quickly run
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and make sure this works.
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Hey, it tells us basically here are the days,
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but doesn't yet show them to us.
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So we're going to need to get the data.
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Let me actually make a little folder to organize that here.
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I'll call this data.
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And into that data file, I'm going to drop
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this thing we downloaded in the previous video.
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Drop that there.
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PyCharm will put it over in the right place
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and we can look.
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Does it look correct?
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Yes.
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Apparently PyCharm can help out with CSV files.
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I don't really care.
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But I do care about what the header values are going to be.
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We're going to work with that later.
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So maybe go ahead and copy that preemptively.
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Now, I think we're pretty much ready to write the code
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that is going to read that file
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and then provide the data
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so we can answer these questions here.
