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Eyan Noronha
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  • Learning
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  • Puzzles
  • Blog
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    • Blog
Python
Parallel Programming
ML Systems
Pandas

Python

  1. Data Classes in Python

  2. Iterators and Iterables

  3. Generator functions

  4. Binary Search

Parallel Programming

  1. Sharing Data Between Threads

  2. join() and detach() in c++

  3. mutex lock and try_lockĀ 

  4. promise, future and async

  5. Thread Safety in Python

  6. threading.Lock() and threading.RLock()

  7. threading.Semaphore(value = 1)

  8. threading.Event()

  9. threading.Condition(lock=None)

  10. threading.Barrier(parties, action = None, timeout = None)

  11. A curious course on coroutines and concurrency

  12. Difference between multi-processing and multi-threading

  13. Difference between Process Thread

  14. asyncio Walkthrough

ML Systems

  1. A Meticulous Guide to Advances in Deep Learning Efficiency over the Years by Alex Zhang

  2. Large Language models course

Pandas

  1. Multi-indexing

  2. drop duplicates

  3. query()

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