NumPy Basics Explained: array(),arange(),sum(),mean(), axis() & reshape() in Colab | Python Tutorial
https://www.plus2net.com/python/numpy...
Learn essential NumPy basics hands-on in Google Colab!
In this video, we explore core NumPy functions — array(), arange(), sum(), mean(), axis(), and reshape() — that form the foundation of numerical computing in Python. You’ll understand how arrays are created, manipulated, and summarized efficiently with these key operations.
👉 Covered in this session:
Creating and inspecting NumPy arrays with array()
Using arange() to generate numerical sequences
Applying sum() and mean() along specific axis values
Transforming data shapes using reshape()
Practical examples demonstrated live in Google Colab
Whether you’re a beginner starting with data analysis or a developer revisiting Python fundamentals, this tutorial builds a strong understanding of NumPy’s array manipulation power.
🔗 Full tutorials and source code: https://www.plus2net.com/python/numpy...
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