To help you in your data science career, I’ve prepared the main Python concepts tested in the data science interview.

Within the Python in Excel environment, you can directly create and interact with dataframes (the fundamental data structure in Python's powerful pandas library).

By drawing on C libraries for the heavy lifting, NumPy offers faster array processing than native Python. It also stores numerical data more efficiently than Python’s built-in data structures.

By drawing on C libraries for the heavy lifting, NumPy offers faster array processing than native Python. It also stores numerical data more efficiently than Python’s built-in data structures.

Python 3.7's dataclasses reduce repetition in your class definitions. Newcomers to Python often are surprised by how little code is required to accomplish quite a bit. Between powerful built-in data ...

In a threaded program, you really must not have individual threads modify built-in data structures, such as a list. This is because such data structures aren't thread-safe, and doing something such as ...