( Python Training: https://www.edureka.co/python ) This Edureka Python Numpy tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) explains what exactly is Numpy and how it is better than Lists. It also explains various Numpy operations with examples. Check out our Python Training Playlist: https://goo.gl/Na1p9G This tutorial helps you to learn the following topics: 1. What is Numpy? 2. Numpy v/s Lists 3. Numpy Operations 4. Numpy Special Functions

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Python Numpy

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Agenda
➢ What is Numpy?
➢ Numpy v/s List
➢ Numpy Operations
➢ Numpy Special Functions

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What is Numpy?

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What is Numpy?
❑ Numpy is the core library for scientific computing in Python.
❑ It provides a high-performance multidimensional array object, and tools for working with these arrays.
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1 2 3A[0,0], A[0,1], A[0,2]
A[1,0], A[1,1], A[1,2]
A[2,0], A[2,1], A[2,2]
A[3,0], A[3,1], A[3,2]
What is Multi-
dimensional
array?

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Numpy v/s List

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Numpy v/s List
Why should I use
Numpy when I
have List?
Less Memory Fast Convenient
Advantages of
Numpy over List

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Numpy Operations

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Numpy Operations
Find the dimension of the
array
Find the byte size of each
element
Find the data type of the
elements

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Numpy Operations
Find the size of an array
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Find the shape of an array
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Numpy Operations
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Reshape
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Slicing 9 11

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Numpy Operations
MaxMin Sum

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Numpy Operations
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axis 1
axis 0
Sum of axis 0: [ 30, 33]
Sum of axis 1: [ 17, 21, 25]

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Numpy Operations
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Finding the square root Finding the Standard Deviation
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Numpy Operations
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Numpy Special Functions

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Numpy Special Functions
Cosine Function Sine Function

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Numpy Special Functions
Exponential Function Logarithmic Function

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Session In A Minute
What is Numpy? Numpy v/s List
Numpy Operations Numpy Special Functions

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