#100DaysOfWeb in Python Transcripts
Chapter: Welcome to the course
Lecture: Topics covered
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We are going to cover so much material in this course that we simply can't go through it all in any reasonable way.
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But, I do want to give you a sampling a couple of the highlights that stand out to me. We're going to cover the three major frameworks
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as we see them, Django, Flask, and Pyramid and we're going to do a lot with each one of these frameworks tons of different things we're going to add
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and use cases and scenarios we're going to put them through. We're also going to cover some of the foundations of the web
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like HTML 5, CSS, and JavaScript. So, maybe you know HTML, maybe you're not super good at it maybe you have always kind of avoided CSS.
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We're going to spend a certain amount of time really digging into that so you know it really, really, well as we go through this course.
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We'll do a quick primer on JavaScript if you haven't used that language for awhile or it's totally new to you. No worries, we got you covered there.
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We're also going to cover some of the single page application frameworks for JavaScript like React and Vue.js.
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We're going to talk about how to write data and query data from SQLite. This is an embedded database that comes with Python
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and it's super simple to use but it's a good stand-in for your favorite database be that Postgres, MySQL, Microsoft SQL Server, whatever.
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When we talk to databases we can do direct queries against it but, most of the time, we're going to use some kind of ORM.
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We're going to use SQLAlchemy a lot. We're also going to use the Django ORM during the Django sections. We're going to see how to create REST APIs
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in a whole bunch of different frameworks. So, you're going to do all sorts of cool stuff with things like API Star, Responder using Pyramid and Flask
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and just tons and tons of different APIs we're going to build. Then, we're going to call those services sometimes testing it with Postman
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sometimes calling it from JavaScript or even directly from within our Python code with something like Requests. We're going to write async code.
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The web server and web applications are ideal candidates for using Python's async and await keywords. The reason is, most of the time
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web apps are waiting on something else on the network, on external APIs, on databases, and so on. So, they could go do productive work
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while they're waiting on these other systems. And, we're going to talk about a couple of frameworks and async and await itself to make this super easy
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and super powerful in Python. We're going to talk about web scraping. Sometimes, it's great to call an API
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but if the API doesn't exist, and the data's on the web guess what, you can use Python and get at that data anyway.
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So, we're going to talk about web scraping and how to get data off of websites that don't have an API or, maybe, we don't know about their API.
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Of course, once we write all our web apps we don't want to ship a busted version to production and take the website offline.
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We want to make sure it works and it continues to work automatically so we're going to write unit tests against our web application
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mocking out the database and API calls and all sorts of cool stuff like that. We're going to take our application
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and deploy them to Linux using uWSGI and Nginx and we're also going to deploy them to Heroku so you'll see a couple of deployment scenarios
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which are pretty awesome, and you'll learn the basics of operating Python web applications in production on Linux.
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We're also going to talk about Docker. Containers are super important these days. There's a lot of use cases for them and we're going to follow
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on our Linux deployment stuff with Docker because Docker is really a special way to create very small, lightweight customized Linux deployment, right?
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So, everything you learn about deploying to Linux is going to be super useful for when we get to Docker. You'll just have to use the Docker commands
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rather than, say, the Shell commands directly. We'll see how to do containers and even orchestrate multi-container systems with Docker Compose.
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This is just a tiny sampling of what we're going to cover. We're going to go through so many amazing topics and little libraries, and different things
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that you can do on the web with Python. You're going to have a hard time choosing what to use at the end of this course, I'm sure.