Book Image

Applied Computational Thinking with Python

By : Sofía De Jesús, Dayrene Martinez
Book Image

Applied Computational Thinking with Python

By: Sofía De Jesús, Dayrene Martinez

Overview of this book

Computational thinking helps you to develop logical processing and algorithmic thinking while solving real-world problems across a wide range of domains. It's an essential skill that you should possess to keep ahead of the curve in this modern era of information technology. Developers can apply their knowledge of computational thinking to solve problems in multiple areas, including economics, mathematics, and artificial intelligence. This book begins by helping you get to grips with decomposition, pattern recognition, pattern generalization and abstraction, and algorithm design, along with teaching you how to apply these elements practically while designing solutions for challenging problems. You’ll then learn about various techniques involved in problem analysis, logical reasoning, algorithm design, clusters and classification, data analysis, and modeling, and understand how computational thinking elements can be used together with these aspects to design solutions. Toward the end, you will discover how to identify pitfalls in the solution design process and how to choose the right functionalities to create the best possible algorithmic solutions. By the end of this algorithm book, you will have gained the confidence to successfully apply computational thinking techniques to software development.
Table of Contents (21 chapters)
Section 1: Introduction to Computational Thinking
Section 2:Applying Python and Computational Thinking
Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python
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Learning about files, data, and iteration

In this section, we're going to take a look at how to handle files, data, and iteration with Python. This will give us information on how to use an algorithm to open, edit, and run already-existing Python files or new files. With iteration, we'll learn how to repeat lines of code based on some conditions, limiting how many times or under what conditions a section of the algorithm will run for. We'll start with files first.

Handling files in Python

In Python, the main function associated with files is the open() function. If you are opening a file in the same directory, you can use the following command line:

fOpen = open('filename.txt')

If the file is in another location, you need to find the path for the file and include that in the command, as follows:

fOpen = open('C:/Documents/filename.txt')

There are a few more things we can tell the program to do in addition to opening the file. They...