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Home > CAS > Computer Science > Computer Science Books

Computer Science Books

 
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  • A Cool Brisk Walk Through Discrete Mathematics by Stephen Davies

    A Cool Brisk Walk Through Discrete Mathematics

    Stephen Davies

    The book in your hands is a quick guided tour of introductory-level discrete mathematics. It’s like a cool, brisk walk through a pretty forest. I point out the notable features of the landscape and try to instill a sense of appreciation and even of awe. I want the reader to get a feel for the lay of the land, and a little exercise. If the student acquires the requisite vocabulary, gets some practice playing with the toys, and learns to start thinking in terms of the concepts here described, I will count it as a success.

  • Blueprints: Creating, Describing, and Implementing Designs for Larger-Scale Software Projects by Stephen Davies

    Blueprints: Creating, Describing, and Implementing Designs for Larger-Scale Software Projects

    Stephen Davies

    Blueprints is a concise yet comprehensive coverage of Object-Oriented Analysis and Design concepts, suitable for a second programming course in Computer Science. It introduces and teaches application development in a command-line environment, and assumes basic expertise with the Java programming language.

  • Exploring Computer Science: An Introduction with Python by Ian Finlayson

    Exploring Computer Science: An Introduction with Python

    Ian Finlayson

    This is the home page for my introductory computer science textbook. The book is intended for those with no experience with computer science at all. Its focus is on developing algorithms and solving problems. Python is used as the programming language.

  • The Crystal Ball Instruction Manual - Volume One: Introduction to Data Science by Stephen Davies

    The Crystal Ball Instruction Manual - Volume One: Introduction to Data Science

    Stephen Davies

    A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.

  • The Crystal Ball Instruction Manual - Volume Two: Foundations for Data Science by Stephen Davies

    The Crystal Ball Instruction Manual - Volume Two: Foundations for Data Science

    Stephen Davies

    Welcome to Volume Two of the Crystal Ball series: Foundations for Data Science! I titled the first volume “Introduction to Data Science” because it led you through a dip-your-toes-in-the-water experience. You took a brief tour through the various elements in this diverse field and got a feel for what it was all about. Since you’re still reading, this means you’re still interested, and ready to explore the next level. In Foundations, we’ll solidify your growing knowledge so that you have a firm base on which to build everything else.

 
 
 

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