Part50 aggregating function in numpy #MachineLearning #PythonNumpy #CodeNewbie #CodingShorts #151

In this Python Short, learn how to use aggregation functions in NumPy to quickly analyze and summarize data!

With just a few lines of code, NumPy makes it easy to compute important statistics like:

np.sum() – total values

np.mean() – average

np.min() / np.max() – smallest and largest values

np.prod() – product of all elements

np.std() – standard deviation

These functions are essential for data analysis, machine learning, and scientific computing — whether you're dealing with small arrays or large datasets.

In under 60 seconds, I’ll show you how to use these functions efficiently and clearly, with clean, readable Python code.

Perfect for beginners and pros who want to work smarter with NumPy!

Видео Part50 aggregating function in numpy #MachineLearning #PythonNumpy #CodeNewbie #CodingShorts #151 канала Python and AI ML Data Science