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Applied Computational Thinking with Python. Algorithm design for complex real-world problems - Second Edition Sofía De Jesús, Dayrene Martinez

Język publikacji: angielskim
Applied Computational Thinking with Python. Algorithm design for complex real-world problems - Second Edition Sofía De Jesús, Dayrene Martinez - okladka książki

Applied Computational Thinking with Python. Algorithm design for complex real-world problems - Second Edition Sofía De Jesús, Dayrene Martinez - okladka książki

Autorzy:
Sofía De Jesús, Dayrene Martinez
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
438
Dostępne formaty:
     PDF
     ePub

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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.

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O autorze książki

Dayrene Martinez is a Systems Engineer in the Defense Industry where she develops neural networks embedded in real-time software to aid in decision making for aerospace vehicles. She received a B.S. in Electrical Engineering from the New Jersey Institute of Technology (NJIT). Dayrene is passionate about STEM education and volunteers her free time to inspire the next generation of engineers. She is an active supporter and keynote speaker for the non-profit organization Latinas in STEM. She teaches middle and high school students circuitry, robotics design and software engineering.

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