Threads and Locks

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Covers Python basics, threading, shared data issues, and deadlock prevention.

Covers the basics of object-oriented programming in Python, including objects, classes, inheritance, and input/output handling.

Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.

Covers the basics of parallel programming, including exploiting parallelism in algorithms and the importance of avoiding race conditions.

Covers the basics of concurrency, focusing on threads and synchronization, including thread joining and challenges of non-deterministic execution.

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Presents an algorithm to prevent starvation and maximize philosophers eating simultaneously.

Explores futures as a structured approach to concurrency, simplifying parallel tasks and input-output operations.