Explore the latest books of this year!
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Daniel Zingaro

    Learn to Code by Solving Problems
    Algorithmic Thinking
    Invariants
    • Invariants

      A Generative Approach to Programming

      • 188 pages
      • 7 hours of reading

      The book emphasizes the fundamental role of algorithms across various fields of computer science, including compiler construction, numerical analysis, and artificial intelligence. It prepares readers for the necessity of creating, analyzing, and adapting algorithms throughout their academic and professional journeys, highlighting the practical applications and importance of algorithmic knowledge in diverse contexts.

      Invariants
    • Learn to Code by Solving Problems

      • 336 pages
      • 12 hours of reading

      "Teaches readers how to use Python to solve short, situational competitive programming problems. Each chapter requires the reader to learn a new feature or function of Python in order to solve a problem, while emphasizing basic programming concepts, problem-solving strategies, and critical thinking skills"-- Provided by publisher

      Learn to Code by Solving Problems