NumPy, also known as Python's vectorization solution, is the fundamental package for doing scientific computing with Python. It gives us the ability to create multidimensional array objects and to perform faster mathematical operations than we can do with base Python. It is the basis of most of Python's Data Science ecosystem. Most of the other libraries that we use in data analytics with Python, such as scikit-learn and pandas rely on NumPy. Some advanced features of NumPy are as follows:
- It provides sophisticated (broadcasting) functions
- It provides tools for integrating with lower-level languages such as C, C++, and Fortran
- It has the ability to do linear algebra and complex mathematical operations such as Fourier Transform (FT) and random number generator (RNG)
So, if you need to do some really high-performance data analysis at scale and you...