Book Image

Getting Started with Python

By : Fabrizio Romano, Benjamin Baka, Dusty Phillips
Book Image

Getting Started with Python

By: Fabrizio Romano, Benjamin Baka, Dusty Phillips

Overview of this book

This Learning Path helps you get comfortable with the world of Python. It starts with a thorough and practical introduction to Python. You’ll quickly start writing programs, building websites, and working with data by harnessing Python's renowned data science libraries. With the power of linked lists, binary searches, and sorting algorithms, you'll easily create complex data structures, such as graphs, stacks, and queues. After understanding cooperative inheritance, you'll expertly raise, handle, and manipulate exceptions. You will effortlessly integrate the object-oriented and not-so-object-oriented aspects of Python, and create maintainable applications using higher level design patterns. Once you’ve covered core topics, you’ll understand the joy of unit testing and just how easy it is to create unit tests. By the end of this Learning Path, you will have built components that are easy to understand, debug, and can be used across different applications. This Learning Path includes content from the following Packt products: • Learn Python Programming - Second Edition by Fabrizio Romano • Python Data Structures and Algorithms by Benjamin Baka • Python 3 Object-Oriented Programming by Dusty Phillips
Table of Contents (31 chapters)
Title Page
Copyright and Credits
About Packt
Stacks and Queues
Hashing and Symbol Tables

IO, streams, and requests

IO stands for input/output, and it broadly refers to the communication between a computer and the outside world. There are several different types of IO, and it is outside the scope of this chapter to explain all of them, but I still want to offer you a couple of examples.

Using an in-memory stream

The first will show you the io.StringIO class, which is an in-memory stream for text IO. The second one instead will escape the locality of our computer, and show you how to perform an HTTP request. Let's see the first example:

# io_examples/
import io

stream = io.StringIO()
stream.write('Learning Python Programming.\n')
print('Become a Python ninja!', file=stream)

contents = stream.getvalue()


In the preceding code snippet, we import the io module from the standard library. This is a very interesting module that features many tools related to streams and IO. One of them is StringIO, which is an in-memory buffer in which we're...