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

Instantiating classes in Python is straightforward. To instantiate a class, simply call the class as if it were a function, passing the arguments that the `__init__()` method requires. The return value will be the newly created object.

import fibonacci2
fib = fibonacci2.Fib(100)          #①
print (fib)                        #②
#<fibonacci2.Fib object at 0x7f7594e75ba8>

print (fib.__class__)              #③
#<class 'fibonacci2.Fib'>

print (fib.__doc__ )               #④
#iterator that yields numbers in the Fibonacci sequence


①	You are creating an instance of the `Fib` class (defined in the `fibonacci2` module) and assigning the newly created instance to the variable fib. You are passing one parameter, 100, which will end up as the max argument in Fib’s `__init__()` method.

②	`fib` is now an instance of the `Fib` class.

③	Every class instance has a built-in attribute, `__class__`, which is the object’s class. Java programmers may be familiar with the `Class` class, which contains methods like `getName()` and `getSuperclass()` to get metadata information about an object. In Python, this kind of metadata is available through attributes, but the idea is the same.

④	You can access the instance’s `docstring` just as with a function or a module. All instances of a class share the same docstring.

>*In Python, simply call a class as if it were a function to create a **new** instance of the class. There is no explicit new operator like there is in C++ or Java.*

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

Instantiating Classes