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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Defining control flow and its tools

Simply defined, control flow is the order in which an algorithm reads and executes instructions, functions, and statements. Control flow means the computer will make a decision. Think about it this way: when I go outside my building, I'll either use an umbrella or I won't use an umbrella. That depends on whether or not it is raining (and whether or not I remembered my umbrella, I guess). Depending on that condition, we make a decision. That process is the control flow process in algorithm design.

Let's look at some of the control flow statements available in the Python programming language:

  • while
  • if
  • for
  • range()
  • break
  • continue
  • list comprehensions
  • The pass statement
  • The try statement

These tools allow the algorithm to do things such as run so long as a certain condition or set of conditions is met, stop or break when a condition happens, continue for a range of values only, and so on...