Gain insights into Python 3's new syntax, data types, strings, bytes, and iterators through interactive coding samples. Upgrade your Python skills with hands-on, real-time code modifications.

Are you ready to take the plunge into Python 3? You might be just getting started with Python or you might be someone who understands Python2 and now wants to upgrade to Python 3. This course is designed to help you achieve your goal faster.

Learn about the new syntax, data types, strings, bytes, iterators and much more with interactive coding samples. Execute code using interactive playgrounds, modify the code to see your changes in action and get yourself upgraded to the newest version of Python that is here to stay for a while.

This course is derived from Dive into Python 3 by Mark Pilgrim. See License for more details.
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Python 3: An interactive deep dive

What have we learned?

1. Porting any non-trivial amount of code from Python 2 to Python 3 is going to be a pain. There’s no way around it. It’s hard.
2. The automated 2to3 tool is helpful as far as it goes, but it will only do the easy parts — function renames, module renames, syntax changes. It’s an impressive piece of engineering, but in the end it’s just an intelligent search-and-replace bot.
3. The #1 porting problem in this library was the difference between strings and bytes. In this case that seems obvious, since the whole point of the chardet library is to convert a stream of bytes into a string. But “a stream of bytes” comes up more often than you might think. Reading a file in “binary” mode? You’ll get a stream of bytes. Fetching a web page? Calling a web api? They return a stream of bytes, too.
4. You need to understand your program. Thoroughly. Preferably because you wrote it, but at the very least, you need to be comfortable with all its quirks and musty corners. The bugs are everywhere.
5. Test cases are essential. Don’t port anything without them. The *only* reason I have any confidence that `chardet` works in Python 3 is that I started with a test suite that exercised all major code paths. If you don’t have any tests, write some tests before you start porting to Python 3. If you have a few tests, write more. If you have a lot of tests, then the real fun can begin.

Your First Python Program

Native Datatypes

Comprehensions

Strings

Regular Expressions

Closures & Generators

Classes & Iterators

Advanced Iterators

Unit Testing

Refactoring

Files

XML

Serializing Python Objects

HTTP Web Services

Case Study: Porting chardet to Python 3

Packaging Python Libraries

Appendix : Where To Go From Here

Summary