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

The pickle protocol has been around for many years, and it has matured as Python itself has matured. There are now [four different versions](https://docs.python.org/3.1/library/pickle.html#data-stream-format) of the pickle protocol.

* Python 1.x had two pickle protocols, a text-based format (“version 0”) and a binary format (“version 1”).
* Python 2.3 introduced a new pickle protocol (“version 2”) to handle new functionality in Python class objects. It is a binary format.
* Python 3.0 introduced another pickle protocol (“version 3”) with explicit support for bytes objects and byte arrays. It is a binary format.

Oh look, [the difference between bytes and strings](https://www.educative.io/courses/python-3-an-interactive-deep-dive/strings-vs-bytes/) rears its ugly head again. (If you’re surprised, you haven’t been paying attention.) What this means in practice is that, while Python 3 can read data pickled with protocol version 2, Python 2 can not read data pickled with protocol version 3.

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

Bytes and Strings Rear Their Ugly Heads Again