Introduction

NumPy and Pandas are the most popular libraries for numeric computation in Python. NumPy is actually so popular that there are ongoing debates arguing that the library should be built into Python itself rather than in a separate module. In this lesson, you will learn about several of the useful features these libraries have to offer.

Popular machine learning frameworks like TensorFlow and PyTorch incorporate NumPy's calculating protocols into their own tensor computations. They also provide methods to retrieve tensors similar to methods that retrieve items in arrays in NumPy. Thus, learning about NumPy and Pandas will help you use almost all other advanced modules that will be introduced in future lessons.