Unlock the Power of Data Analysis with Python Pandas for Data Science, AI, Machine Learning, and Deep Learning
What you will learn
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Understand the basics of Numpy and how to set up the Numpy environment.
Create and access arrays, use indexing and slicing, and work with arrays of different dimensions.
Understand the ndarray object, data types, and conversion between data types.
Work with array attributes and different ways of creating arrays from existing data or ranges functions.
Apply broadcasting, iteration, and updating array values.
Perform array manipulation, joining, transposing, and splitting operations.
Apply string, mathematical, and trigonometric functions.
Perform arithmetic operations, including add, subtract, multiply, divide, floor_divide, power, mod, remainder, reciprocal, negative, and abs.
Apply statistical functions and counting functions.
Sort arrays using different methods, including sort(), argsort(), lexsort(), searchsorted(), partition(), and argpartition().
Understand the different types of array copies, including view, copy, “no copy”, shallow copy, and deep copy.
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