Learning NumPy - An Introduction
Explore the fundamentals of NumPy and its importance for handling numerical data efficiently in data science. Understand why NumPy arrays outperform Python lists with hands-on code examples that build a solid foundation for data manipulation and analysis.
We'll cover the following...
We'll cover the following...
Why NumPy
Data comes in all shapes and sizes. We can have image data, audio data, text data, numerical data, etc. We have all these heterogeneous sources of data but computers understand only 0’s and 1’s — At its core, data can be thought of as arrays of numbers. In fact, the prerequisite for performing any data analysis is to convert the data into numerical form. This means it is important to be able to store and manipulate ...