Applied computational thinking with Python : algorithm design for complex real-world problems / Sofía de Jesús, Dayrene Martinez.

Format:

Book

Author/Creator:

Jesús, Sofía de, author.

Martinez, Dayrene, author.

Language:

English

Subjects (All):

Computational learning theory.

Python (Computer program language).

Physical Description:

1 online resource (438 pages) : illustrations

Edition:

Second edition.

Place of Publication:

Birmingham, UK : Packt Publishing Ltd., 2023.

Summary:

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.

Contents:

Cover

Copyright

Contributors

Table of Contents

Preface

Part 1: An Introduction to Computational Thinking

Chapter 1: Fundamentals of Computer Science

Technical requirements

Introduction to computer science

Learning about computers and the binary system

Understanding theoretical computer science

Algorithms

Coding theory

Computational biology

Data structures

Information theory

Automata theory

Formal language theory

Symbolic computation

Computational geometry

Computational number theory

Learning about a system's software

Operating systems

Application software

Understanding computing

Architecture

Programming languages

Learning about data types and structures

Data types

Summary

Chapter 2: Elements of Computational Thinking

Understanding computational thinking

Problem 1

conditions

Decomposing problems

Recognizing patterns

Problem 2

mathematical algorithms and generalization

Generalizing patterns

Designing algorithms

Additional problems

Problem 3

children's soccer party

Problem 4

savings and interest

Summary

Chapter 3: Understanding Algorithms and Algorithmic Thinking

Defining algorithms in depth

Algorithms should be clear and unambiguous

Algorithms should have inputs and outputs that are well defined

Algorithms should have finiteness

Algorithms should be feasible

Algorithms should be language independent

an office lunch

a catering company

Analyzing algorithms

Algorithm analysis 1

states and capitals

Algorithm analysis 2

terminating or not terminating?

Chapter 4: Understanding Logical Reasoning

Understanding the importance of logical reasoning

Applying inductive reasoning

Applying deductive reasoning

Using Boolean logic and operators

The and operator

The or operator

The not operator

Chapter 5: Errors

Understanding errors

Syntax errors

Learning to identify logical errors

Errors and debugging

Chapter 6: Exploring Problem Analysis

Understanding the problem definitions

Problem 6A

building an online store

Learning how to decompose problems

Converting the flowchart into an algorithm

Analyzing problems

Problem 6B

analyzing a simple game problem

Chapter 7: Designing Solutions and Solution Processes

Designing solutions

a marketing survey

Diagramming solutions

Creating solutions

pizza order

Delays and Python

Chapter 8: Identifying Challenges within Solutions

Identifying errors in algorithm design

Syntax errors

Notes:

Includes index.

OCLC-licensed vendor bibliographic record.

ISBN:

9781837631087

1837631085

OCLC:

1416903327