Yandex

They gave a code task, with 2-3 subtasks for more points. They allowed 60 minutes for this. Then they presented 2 algorithm tasks, with medium/hard difficulty and 60 minutes allocated as well.

Improving existing algorithms and creating new ones involves several key elements: * Machine learning * Working with very large amounts of data * Writing algorithms to work with them An example of this is image search optimization in Yandex.i

The interview was more about checking the candidate's soft skills. Simultaneously, common questions such as: * "From which character cannot start a variable name in Python?" * "What is 'dict' in Python? Describe more about hashtable working logi