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numpy python documentation

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NumPy is a powerful library for numerical operations in Python. It provides support for large, multi-dimensional arrays and matrices, along with mathematical functions to operate on these arrays. This tutorial aims to guide you through the basics of NumPy and help you get started with using its functionalities.
Before you start using NumPy, you need to install it. You can install NumPy using the following command:
Once installed, you can import NumPy into your Python script or Jupyter notebook using:
Here, np is an alias commonly used for NumPy, making it easier to reference in your code.
NumPy provides functions to create arrays with specific values:
Before you start using NumPy, you need to install it. You can install NumPy using the following command:
Once installed, you can import NumPy into your Python script or Jupyter notebook using:
Here, np is an alias commonly used for NumPy, making it easier to reference in your code.
NumPy provides functions to create arrays with specific values: