In the script above we first imported the NumPy library as np, and created a list x. Check out the following script for an example: import numpy as np To create a one-dimensional NumPy array, we can simply pass a Python list to the array method. In this section, we will discuss a few of them. There are several ways to create a NumPy array. The NumPy arrays can be divided into two types: One-dimensional arrays and Two-Dimensional arrays. NumPy arrays are the building blocks of most of the NumPy operations. Now that NumPy is installed, let's see some of the most common operations of the library. Otherwise, if you are running Python via the Anaconda distribution, you can execute the following command instead: $ conda install numpy Execute the following command to install: $ pip install numpy To install the NumPy package, you can use the pip installer. NumPy Operationsīefore we can perform any NumPy operations, we need to install the NumPy package. This is just the tip of the iceberg, in reality, the NumPy library is capable of performing far more complex operations in the blink of an eye. It is not only readable, but also faster when compared to the previous code. You can see how easy it is to add a scalar value to each element in the list via NumPy. Now let's see how we can perform the same task with the NumPy library: import numpy as np Here, in order to add 2 to each element in the list x, we have to traverse the entire list and add 2 to each element individually. Regarding the last point, take a look at the following script: x =
The NumPy library is a popular Python library used for scientific computing applications, and is an acronym for "Numerical Python".
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