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Python Basics
Learn the building blocks of the wonderful general purpose programming language Python.
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Introducing Lists
Lists are a powerful data type that allow you to store multiple ordered values in a single container. You are gonna love them.
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Python Collections
We can get pretty far in Python with numbers, strings, lists, booleans, and basic logic. Eventually, though, we're going to need more complex containers for our data. We're also going to need more control over lists and strings. In Python Collections, I'll teach you about dictionaries, sets, tuples, slices, and how to exert even more control over lists in your Python programs!
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5 minWorkshop
Understanding Dunder Main (__main__)
In Python there are naming conventions for some special methods that utilize the double underscore character along with the method name. In this workshop we’ll talk about using a recommended Python best practice, dunder main.
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Object-Oriented Python
Sometimes simple scripts with functions in them just aren't enough. Eventually you'll need logical models of your work and that'll lead you to creating custom classes in Python. Object-oriented programming is a large topic. It provides us some amazing tools, though, so it's one of the most beneficial things to learn about in Python. First, you'll learn how to build basic custom classes. Then, you'll expand them through inheritance. And for some extra power, you'll also learn how to take control of Python's built-in classes to make your own more powerful while doing less work. Finally, we'll put everything together into a fun game utility.
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Write Better Python
We've learned the ins and outs of Python. We're comfortable making all sorts of data types, writing functions, and creating classes. But now we need to look at how our Python code should be formatted so it matches the standard. We'll also look at how to get our code to give us help() and how we can use logging and pdb to help us keep track of what's going on inside the code.
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Dates and Times in Python
Dates and times are something every programmer eventually has to deal with. Python's implementation is fairly simple and simplifies these often tricky subjects.
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Track Completion
Beginning Python
Python is a very popular language created in 1991, and is used for web applications, servers, information security, artificial intelligence, data science, mathematics, video games, and even robots. It is commonly used by many Fortune 500 companies and top technology startups. By the end of this track, you’ll have what it takes to begin your career in companies that use Python, or even to start your own company!
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An entry-level salary for the technologies covered in this track is about $70,000 / yr on average.
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Some companies that use these technologies regularly include: Google, NASA, Nokia, IBM, Digg, Dropbox, Pinterest, Reddit, Yelp, Apple, and Amazon