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Is Python a legitimate data analysis tool?

Python may not be a legitimate data analysis tool, but it is widely used for data analysis, and it gives the right results. For the most part that is what really matters.

Is Python required for data science?

Python required for Data Science and Machine Learning course offers video tutorials on exact python required to get yourself started with Machine Learning and Data Science. Numerical Python is a powerful library which efficiently performs matrix operations faster and exceed the python capabilities of data processing. Pandas is a powerhouse tool that allows you to do anything and everything with tabular or columnar data sets - analyzing, organizing, sorting, filtering, aggregating, cleaning ...

What are the three types of data in Python?

Python has three distinct numeric types: integers, floating point numbers, and complex numbers. Integers represent negative and positive integers without fractional parts whereas floating point numbers represents negative and positive numbers with fractional parts. In addition, Booleans are a subtype of plain integers.

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