Welcome to the NumPy Basics Tutorial! NumPy is a powerful library for numerical computing in Python. Whether you're new to NumPy or looking to refresh your skills, this guide will help you get started.
Key Concepts
- Arrays: NumPy's primary data structure is the array. It is a collection of elements of the same type.
- Operations: NumPy provides a wide range of mathematical operations that can be performed on arrays.
- Broadcasting: NumPy allows you to perform operations on arrays of different shapes without explicitly copying them.
Install NumPy
If you haven't installed NumPy yet, you can do so using pip:
pip install numpy
Example
Here's a simple example to demonstrate how to create a NumPy array and perform an operation on it:
import numpy as np
# Create an array
arr = np.array([1, 2, 3, 4, 5])
# Calculate the sum of the array
sum_of_array = np.sum(arr)
print(sum_of_array)
More Resources
For more in-depth learning, check out our NumPy Advanced Tutorial.
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