[Explaining] Numpy and PyPlot
NumPy is a foundational library for data science in Python. It excels at handling multidimensional arrays and matrices, along with offering a rich collection of mathematical functions to operate on this data. This makes NumPy a powerful tool for data manipulation, calculations, and extracting insights from raw data efficiently. Because of its capabilities, NumPy even serves as the underlying foundation for other popular data science libraries like Pandas. In order to brightest the insights that comes from the insights of NumPy, in this post I’ll combine it with matplotlib - the graphical library that adding the ability to create a useful plots, histograms and another graphical schemes....