Getting Started Numpy

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Installing NumPy

If you already have Python and PIP installed on your system, installing NumPy is straightforward. Simply open your command prompt or terminal and run:

pip install numpy

If you encounter any issues during installation, consider using a Python distribution that comes with NumPy pre-installed, such as Vscode, Anaconda or Spyder. These environments are beginner-friendly and come bundled with popular scientific libraries.

Importing NumPy

After installation, you can start using NumPy in your Python projects by importing it:

import numpy

With this line, NumPy is ready to use and you can start working with powerful array operations and mathematical functions it offers.

Program:

import numpy arr = numpy.array([1, 2, 3, 4, 5]) print(arr)

Output:

[1 2 3 4 5]

Try it Yourself

Importing NumPy as `np`

In the Python community, it's common practice to import NumPy using the alias `np`. This makes your code cleaner and easier to read.

What is an alias?

An alias is an alternative name used to refer to the same module. In Python, you can create an alias using the `as` keyword.

How to import NumPy with an alias:

import numpy as np

Now, instead of typing `numpy` every time, you can simply use `np`. This is especially helpful when you're working with a lot of NumPy functions.

Creating a NumPy array

import numpy as np arr = np.array([1, 2, 3, 4, 5]) print(arr)

[1 2 3 4 5]

Try it Yourself

Checking the NumPy Version

To find out which version of NumPy you're using, you can check the `__version__` attribute.

import numpy as np print(np.__version__)

This will print the installed version of NumPy, such as `1.26.4`.

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