Book Image

The Python Apprentice

By : Robert Smallshire, Austin Bingham
Book Image

The Python Apprentice

By: Robert Smallshire, Austin Bingham

Overview of this book

Experienced programmers want to know how to enhance their craft and we want to help them start as apprentices with Python. We know that before mastering Python you need to learn the culture and the tools to become a productive member of any Python project. Our goal with this book is to give you a practical and thorough introduction to Python programming, providing you with the insight and technical craftsmanship you need to be a productive member of any Python project. Python is a big language, and it’s not our intention with this book to cover everything there is to know. We just want to make sure that you, as the developer, know the tools, basic idioms and of course the ins and outs of the language, the standard library and other modules to be able to jump into most projects.
Table of Contents (21 chapters)
Title Page
Credits
About the Authors
www.PacktPub.com
Customer Feedback
Preface
12
Afterword – Just the Beginning

The Python type system


Programming languages can be distinguished by several characteristics, but one of the most important is the nature of their type systems. Python can be characterized as having a dynamic and strong type system. Let's investigate what that means.

Dynamic typing in Python

Dynamic typing means that the type of an object-reference isn't resolved until the program is running, and it needn't be specified up front when the program is written. Take a look at this simple function for adding two objects:

>>> def add(a, b):
...     return a + b
...

Nowhere in this definition do we mention any types. We can use add() with integers:

>>> add(5, 7):
12

And we can use it for floats:

>>> add(3.1, 2.4)
5.5

You might be surprised to see that it even works for strings:

>>> add("news", "paper")
'newspaper'

Indeed, this function works for any types, like list, for which the addition operator has been defined:

>>> add([1, 6], [21, 107])
[1, 6, 21, 107]

These...