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
Contributors
Preface
8
Stacks and Queues
10
Hashing and Symbol Tables
Index

Working with files and directories


When it comes to files and directories, Python offers plenty of useful tools. In particular, in the following examples, we will leverage the os and shutil modules. As we'll be reading and writing on the disk, I will be using a file, fear.txt, which contains an excerpt from Fear, by Thich Nhat Hanh, as a guinea pig for some of our examples.

Opening files

Opening a file in Python is very simple and intuitive. In fact, we just need to use the open function. Let's see a quick example:

# files/open_try.py
fh = open('fear.txt', 'rt')  # r: read, t: text

for line in fh.readlines():
    print(line.strip())  # remove whitespace and print

fh.close()

The previous code is very simple. We call open, passing the filename, and telling open that we want to read it in text mode. There is no path information before the filename; therefore, open will assume the file is in the same folder the script is run from. This means that if we run this script from outside the files folder...