Implement local in-memory cache util that uses LRU as an eviction algorithm and works in a multithreaded environment. LRU means evicting the item that hasn’t been accessed the longest in case the cache is full. Each item should also hold a TTL and return Null when trying to fetch an item that its TTL passed. In addition, the cache should be limited in size. The perfomance (get, set) should be in optimal time.
How does Python’s Global Interpreter Lock (GIL) affect multithreading, and in what scenarios is multithreading still beneficial despite the GIL?
Trial task with scrapy framework.
I was working on a blackjack game for a separate assessment and the engineer in the meeting asked me how I set up the deck programmaticaly.
How will you scale the system?
What is difference between repr and str
How can start a new app in Django?
They asked me about API Development using Python.
How Long I have been a python developer.
Python data engine technology, Artificial Intelligence, Pyspark and advance level of SQL Queries asked.
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