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 first thing this alphametics solver does is find all the letters (A–Z) in the puzzle.

import re
print (re.findall('[0-9]+', '16 2-by-4s in rows of 8'))  #①
#['16', '2', '4', '8']
print (re.findall('[A-Z]+', 'SEND + MORE == MONEY'))     #②
#['SEND', 'MORE', 'MONEY']

①	The `re` module is Python’s implementation of [regular expressions](https://www.educative.io/courses/python-3-an-interactive-deep-dive/diving-in-YQ58jZYX6KK/). It has a nifty function called `findall()` which takes a regular expression pattern and a string, and finds all occurrences of the pattern within the string. In this case, the pattern matches sequences of numbers. The `findall()` function returns a list of all the substrings that matched the pattern.

②	Here the regular expression pattern matches sequences of letters. Again, the return value is a list, and each item in the list is a string that matched the regular expression pattern.

Here’s another example that will stretch your brain a little.

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

Finding all occurrences of a pattern