Started with basic questions like wt all libraries u used in ML, what projects u did name some , what type of Algorithms u used there, how u solved it in steps, wt u do if there is a Nan value, how to get starting 5 rows and columns in ML's dataset, wt to do if u want to drop a column . Then started with basic python questions like wt is list how to write it , wt is tuples, dictionary, wt is lambda ...etc
1. how memory management is works in python. 2. What data structured you have used , what is dictionary and how it works behind the scenes. why key value pair ? 3. If you have 2 technology Node and Python, what you will choose and why ? 4. What is event loop in js/node js, how it works ? 5. what Idempotency in a REST API 6. If you will develope REST API in Django what things you will consider ?
Technical round - how to do file handling in python, how to write custom middlewares.
Sort an array. Basic python oops question. Basic API flow question
Q: What do you know about class inheritance?
They asked me to implement Middleware in my project
list comprehension - print all odd numbers in the range 1 to 9.
Change a column value at any given row in a dataframe
Implement unit testing in python with a test case of your choice.
Palindrome, Fibonacci, Anagrams, Oops Concept
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