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.
Dive in and become a Python expert!

Python 3: An interactive deep dive

A generator expression is like a [generator function](https://www.educative.io/courses/python-3-an-interactive-deep-dive/diving-in-g7Zw1VPD2m6/) without the function.

unique_characters = {'E', 'D', 'M', 'O', 'N', 'S', 'R', 'Y'}
gen = (ord(c) for c in unique_characters)          #①
print (gen  )                                      #②
#<generator object <genexpr> at 0x7ff0c8cf3a68>

print (next(gen) )                                 #③
#69

print (next(gen))
#83

print (tuple(ord(c) for c in unique_characters))   #④
#(69, 83, 89, 77, 68, 79, 78, 82)

①	A generator expression is like an anonymous function that yields values. The expression itself looks like a [list comprehension](https://www.educative.io/courses/python-3-an-interactive-deep-dive/list-comprehensions/), but it’s wrapped in parentheses instead of square brackets.

②	The generator expression returns… an iterator.

③	Calling `next(gen)` returns the next value from the iterator.

④	If you like, you can iterate through all the possible values and return a tuple, list, or set, by passing the generator expression to `tuple()`, `list()`, or `set()`. In these cases, you don’t need an extra set of parentheses — just pass the “bare” expression `ord(c) for c in unique_characters` to the `tuple()` function, and Python figures out that it’s a generator expression.

>*Using a generator expression instead of a list comprehension can save both CPU and RAM. If you’re building an list just to throw it away (e.g. passing it to `tuple()` or `set()`), use a generator expression instead!*

Here’s another way to accomplish the same thing, using a [generator function](https://www.educative.io/courses/python-3-an-interactive-deep-dive/diving-in-g7Zw1VPD2m6/):

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

Generator expressions