Getting Started with NLP and spaCy Transcripts
Chapter: Welcome to the Course
Lecture: Git the code
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Just in case you're interested, if you want to follow along, then you can also find the code for this entire course on GitHub.
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If you go to the Talk Python organization and then to the NLP with Python and spaCy course repository,
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then you will find the repository that contains all the code that you'll need. Most of the course will be done inside of a Jupyter notebook,
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so a lot of the code that you might want to refer to can be found over here.
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But there is also part of the course where we're going to start a proper NLP project, and that will also require us to have a project structure.
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So part three of this course will be contained here. There are some separate files which will be explained later,
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but the other main thing in this repository is this data folder called transcripts.
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The goal of this course will be to actually explore the transcripts from the Talk Python podcasts to see if we can find Python tools in them.
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If you're eager to follow along but with the most recent podcasts, then you will have to update this transcripts folder.
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This repository will not be in sync with the actual podcast itself,
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but if you are really eager and would like to explore those transcripts yourself some more,
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then you can go to the actual Talk Python transcripts repository, and that contains this folder over here that is actually updated somewhat recently.
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I might be mistaken, but I believe there's an update about once a week for every episode. The transcripts will just appear over here.
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So if you copy this folder into the folder from the course repo,
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again, there will be this folder over here, then you should be good and totally up to date. Again, you don't necessarily have to follow along live.
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You can also just watch the videos first. That's totally fine.
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It is good to know, though, that all the code that I am going to be using can be found over here.