Numpy in Python - Master in 1 Hour

Numpy in Python for Data Science Machine Learning

Agenda
1. A quick introduction,
What is Numpy?
Why Numpy?
Which Language is Numpy is written in?
Where is Numpy Code Base?
2. Array type and attributes for One, Two & Three dimensional data types
3. Attributes - .shape, .ndim, .dtype, .size and type()
4. Accessing & Slicing an array
5. Datatypes
6. Array shape & reshape
7. Types of methods for creating an array
8. Some Important Function
Thank You Notes
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