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| Contents & Preface Chapter 1. Sets and Functions Chapter 2. An Introduction to Programming Chapter 3. Variables Chapter 4. Sequences, Sums, Iterations Chapter 5. Number Systems Chapter 6. Boolean Algebra Chapter 7. Digital Circuits and Bitwise Operators Chapter 8. Counting Chapter 9. Strings, Lists, and Files Chapter 10. Recurrence Relations and Recursion Chapter 11. Polynomials Chapter 12. Probabilities Chapter 13. Matrices, Sets, and Dictionaries Chapter 14. Graphs Chapters 15-20: TBD On the back cover Mathematics for the Digital Age and Programming in Python is written in the same engaging not-for-dummies style as the Litvins' earlier books, but it is aimed at younger students. It offers a unique blend of mathematics and programming, designed to give students in introductory computer science courses an appreciation for the rigorous mathematics relevant to computing, as well as practical skills for writing programs. The vision behind this book is that math and computer science should help each other. A programmer needs to be comfortable with abstractions, and that is precisely what math teaches. Computer science reciprocates by providing models and hands-on exercises that help clarify and illustrate more abstract math. Most importantly, both teach "precision thinking" an important means of solving problems that call for exact solutions. Python was chosen because it is a popular commercial programming language that is well-supported, easy to get started with, and free. Python has many powerful features intended for software professionals, but it also has a convenient subset accessible to beginners. Some students may choose to study AP Computer Science in high school, or major in CS in college. Others may decide to go into math, science, law, art, social sciences, or humanities. Regardless of your goals, Mathematics for the Digital Age and Programming in Python will help you gain a better understanding of the computerized world around you. |
