#100DaysOfCode in Python Transcripts
Chapter: Welcome to the course
Lecture: Topics covered
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We are going to cover so much
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content in this course, it's going to be amazing.
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You'll learn many, many different things over these
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#100DaysOfCode.
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In fact, there's so many I can't really
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enumerate all of them, it'll just take too long,
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but I do want to give you a quick sample
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into what we're going to cover.
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We're going to talk about collections,
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lists, dictionaries, working with them.
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We're going to test our code with pytest to make sure we
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build reliable apps.
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We're going to create games, Dungeons and Dragons style with
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classes and inheritance and object-oriented programming.
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We're going to deal with errors
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and proper error handling in Python.
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We'll do logging to keep a history
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of what our application has done.
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We're going to work with the popular exchange format
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called JSON, and it's a really great way to exchange data
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between Python applications and any web service.
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Speaking of services, we're going to learn how to call
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JSON based web services from Python,
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and if there's no service, can still go to the website
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and do web scraping.
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You can turn any HTML page, anything on the internet,
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into a data source using web scraping.
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Another source that we might go and consume, RSS feeds,
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really popular among blogs and podcasts,
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but also other types of subscriptions.
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We're going to use the Twitter and the GitHub API
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to interact with those services automatically from Python.
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Want to send an email? Maybe a new user registered for your site,
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well we'll see how to do that as well in this course.
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Excel has got to be the most popular database in the world.
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It's not really a database, but people use it like one,
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and you may need to program against it.
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Turns out, we have the trick for you right here.
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Want to automate something on the web?
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Go login here, navigate over there, click this button,
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make that thing happen.
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We'll see how to do that with something called Selenium.
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You want to write a web application, well we'll do that with
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something called Flask, it's probably the easiest way
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to write a web app in Python.
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SQLite is a database built into Python,
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it's what's called an embedded database,
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and you'll see how to program it, either directly,
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or from what's called an ORM from SQLAlchemy
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where you create these classes and you map them
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to objects in your database,
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so we'll have a couple of places where we talk
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about SQLite and relational data.
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Graphs are wonderful, they explain so many things,
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and so we're going to use something called Plotly
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and draw graphs for you,
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based on a set of data that you have,
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and typically when you're doing
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science like stuff like this,
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that's done in something called
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Jupyter Scientific Notebooks,
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and a good portion of this class will be presented
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in these notebooks.
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Not all of it, maybe about a quarter.
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GUIs and Python, they typically don't go together,
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but in this course, they do.
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You'll see in just a few lines of code that we can
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create a really powerful and cool GUI or
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desktop application, and this will run on all the platforms,
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Windows, Linux, and macOS.
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And finally, it's fun to consume APIs,
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but sometimes you want to build them,
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so we're going to actually take Flask and extend it
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to create our very own API and put that out on the internet.
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This is a ton of stuff right, isn't this exciting?
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Well, it's only a small part
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of what we're going to cover in this course,
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so I hope you're really excited,
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Bob, Julian and I definitely are excited
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to teach it to you, so let's get to it.
