December 2023
Intermediate to advanced
438 pages
10h 37m
English
Overview
Dive into the principles of computational thinking with Python through this comprehensive guide designed for problem solvers. In this book, you will explore key concepts like decomposition, algorithm design, and pattern recognition, learning how to apply them to solve complex problems in diverse disciplines.
What this Book will help me do
- Break down complex issues using decomposition techniques and visual tools to simplify problem-solving.
- Master the use of pattern recognition and abstraction for designing efficient algorithmic solutions.
- Enhance your analytical skills to critically evaluate algorithmic solutions and improve efficiency.
- Utilize Python programming to implement computational thinking for data analysis and machine learning.
- Identify and resolve logical errors in your programs to refine functionalities and optimize solutions.
Author(s)
Sofía De Jesús and None Martinez are seasoned educators and programmers specializing in computational problem-solving. They have extensive experience teaching algorithmic thinking and integrating Python for diverse applications. Their approach emphasizes practical applications and analytical skills development.
Who is it for?
This book is perfect for developers, data scientists, and students who are comfortable with Python and want to master computational thinking techniques. If you aim to enhance your logical problem-solving abilities and apply them in areas like AI, cryptography, and data analysis, this book is for you.
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