Thinking in Algorithms

Thinking in Algorithms


Spend Two Days Immersed in Thinking and Coding in Algorithms with Kyle Simpson

By participating along with us in the workshop, you’ll learn

  • Learn how “Big O” classification impacts both computation time and memory usage (and the tradeoffs)
  • Explore how data structures (classic and custom) shaped to the nature of the problem lay the groundwork for better algorithms
  • Learn basic techniques for benchmarking computation time and memory usage

Released 2/2023

Download Links

Direct Download

Thinking in (1.3 GB) | Mirror

Torrent Download

Thinking in Algorithms.torrent (59 KB) | Mirror

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