#100DaysOfWeb in Python Transcripts
Chapter: Welcome to the course
Lecture: Course flow
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Let's talk a little bit about the course organization and how you're going to go through it during your 100 Days of Code.
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We don't have 100 separate little projects nor do we have one huge project you work on for 100 days.
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Instead, we've broken the course into four day segments where you work on one project, one idea you learn one thing and you work on it
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during those four days. Typically, the way it goes is on the first day you're going to watch the lessons. They're usually 45 minutes to an hour
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or maybe you do a little bit of coding we'll tell you what to do and help you along the way there but mostly the first day of any major topic
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Django, Pyramid, Async, whatever is going to be watching these videos. Then then next day we're going to have some project for you.
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And on GitHub, each section has its own read me that says on day one or day N you do this on day two you do that, on day three, day four
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and it just walks you through. It's pretty open-ended and you get to explore and play with the ideas
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but it is guided so you're not just left all alone. Next day, probably a little bit more code and then you might finalize what you're
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working on and finish up that project as you go. And that's typically a given topic in this course.
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So you can think of this course as 25 four day segments. Except, we've actually left one open where we have four little independent ideas
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that weren't big enough to fit into this format. Also, some of the topics are longer the way I've laid it out here.
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For example, Docker is an hour and a half. So on the first day, you watch maybe 50 minutes of Docker, something like that.
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Day two, you work on applying what you learned there. Day three, you come back and watch some more videos and build on that with, say, Docker Compose
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in this example. And then finally, on day N plus three or day four you're going to finish up working with those new ideas.
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So the basic workflow is these four day segments on any given topic. If you want to skip around, that's fine that's totally okay
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they don't have huge dependencies between them but we do assume that you know what came before. So, for example, if you jumped to the end
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into some Flask section, we've assumed that you have the knowledge that we covered in the first part where we just introduced Flask
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and things like that. But as long as you're willing to fill in those gaps or you feel like you have the prerequisite knowledge
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you can jump around and that's okay long as you think of this format as being kind of the atomic unit there.