Applied Computational Thinking with Python
Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Developers working with Python will be able to put their knowledge to work with this practical guide using the computational thinking method for problem-solving.
Offered by
Difficulty Level
Intermediate
Completion Time
14h
Language
English
About Book
Who Is This Book For?
This book is for students, developers, and professionals looking to develop problem-solving skills and tactics involved in writing or debugging software programs and applications. Familiarity with Python programming is required.
Applied Computational Thinking with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h total length
Fundamentals of Computer Science
Elements of Computational Thinking
Understanding Algorithms and Algorithmic Thinking
Understanding Logical Reasoning
Exploring Problem Analysis
Designing Solutions and Solution Processes
Identifying Challenges within Solutions
Introduction to Python
Understanding Input and Output to Design a Solution Algorithm
Control Flow
Using Computational Thinking and Python in Simple Challenges
Using Python in Experimental and Data Analysis Problems
Using Classification and Clusters
Using Computational Thinking and Python in Statistical Analyses
Applied Computational Thinking Problems
Advanced Applied Computational Thinking Problems
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