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Learn AI-Assisted Python Programming with GitHub Copilot

Zingaro, Daniel
Learn AI-Assisted Python Programming with GitHub Copilot
Learn AI-Assisted Python Programming: With GitHub Copilot teaches you to code the AI way. Instead of starting with slow, low-level details, you'll learn how to bring your ideas to life immediately using AI-generated code. Absolutely no programming experience required!

CHF 82.00

Algorithmic Thinking, 2nd Edition

Zingaro, Daniel
Algorithmic Thinking, 2nd Edition
Get in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition of the bestselling original. (Still no math required!)Knowing how to design algorithms will take you from being a good programmer to a great programmer. This completely revised second edition teaches you how to design your own rocket-fast, right-for-the-task algorithms—minus the proofs and complex math. Forge...

CHF 57.90

Learn to Code by Solving Problems

Zingaro, Daniel
Learn to Code by Solving Problems
Learn to Program by Solving Problems is a practical introduction to programming using Python, one of the world's most popular programming languages. The book emphasizes problem-solving strategies that teach readers not only the mechanics of coding, but how to think like savvy programmers. • Teaches readers how to use Python to solve short, situational problems (for example, how to predict when a gambler will run out of money while playing slot...

CHF 46.90

Algorithmic Thinking

Zingaro, Daniel
Algorithmic Thinking
A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer.Programming is about using a computer to solve problems, and algorithms and data structures are the building blocks of computer programs. For each problem that a programmer wants to solve, they employ an algorithm: a sequence of steps for solving the problem. Many books teach algorithms independently of specific problems, but thi...

CHF 65.00

Invariants

Zingaro, Daniel
Invariants
Algorithms are central to all areas of computer science, from compiler construction to numerical analysis to artificial intelligence. Throughout your academic and professional careers, you may be required to construct new algorithms, analyze existing algorithms, or modify algorithms to suit new purposes. How do we know that such algorithms are correct? One method involves making claims about how we expect our programs to operate, and then cons...

CHF 47.90