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Introduction to Computer Science Using Python: A Computational Problem-Solving Focus,recommended by Guido van Rossum, the creator of Python;
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widely used programming languages in the software industry, Python is desirable to both learn and teach. Introduction to Programming;
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This resource is written to follow the updated Cambridge IGCSE (R) Computer Science syllabus 0478 with examination from June and November;
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Suitable for newcomers to computer science, A Concise Introduction to Programming in Python provides a succinct, yet complete, first course;
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and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the;
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-lectures the Introduction to Computer Science and Programming Using Python course aimed at students with no programming experience.;
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An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and;
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scientists, therefore, need to be lifelong learners. Problem Solving with Python takes an explicit problem-solving approach to the introduction;
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with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python;
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introduction to the theory of computation Features a practical, interactive approach using real computer programs (Python in the text, with;
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The new edition of an introduction to the art of computational problem solving using Python. This book introduces students with little;
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download the code of the Python programs. The book consists of a detailed introduction to Python, followed by ten chapters of mathematics with;
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Creative Coding in Python teaches kids the fundamentals of computer programming and demonstrates how to code 30+ fun, creative projects;
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introduction to computer vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and;
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Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful;
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bioinformatics programming. Bioinformatics Programming Using Python can be used as a reference, for self-instruction, or as a companion book to help;
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experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an;
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Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using Python Follow a deep learning;
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-language-specific approach provides a solid foundation using an algorithm-driven approach that's ideal for the reader's first introduction to the;
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. Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to;
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Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and;
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Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and;
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coding languages commonly used in schools across the world. This book is an introduction to computer programming using the most useful (and free;
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knowledge of programming, mathematics, and probability theory, Computer Simulation: A Foundational Approach Using Python takes a hands-on approach;
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knowledge of programming, mathematics, and probability theory, Computer Simulation: A Foundational Approach Using Python takes a hands-on approach;
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