You can use the following steps as a reference for setting up Numba, because the procedure is very similar. To configure Numba with PyCharm, we again focus on our Conda-based installation:
- First, let's create a virtual environment with Conda as a new PyCharm pure-Python project. Choose New Project... from the PyCharm main menu, as shown in the following screenshot:
![](https://static.packt-cdn.com/products/9781789341072/graphics/assets/baa2c977-a6d9-4192-a731-d9c5635940d3.png)
- Create a Pure Python project within a new local Conda environment. Skip this step if you have already created one:
![](https://static.packt-cdn.com/products/9781789341072/graphics/assets/21097966-4d05-48c0-b1a9-ad82cd5afa5f.png)
- Wait for the environment to be created, as shown here:
![](https://static.packt-cdn.com/products/9781789341072/graphics/assets/e248d25e-c437-45de-82fd-ed60cee3467f.png)
- After creating the Conda environment, you will have a ready-to-use Numba development environment, as shown in the following screenshot:
![](https://static.packt-cdn.com/products/9781789341072/graphics/assets/7863c242-d7f6-45d5-a917-d012e3c0bb7f.png)
Now you can import numba within your Python programs.
As you can see below, PyCharm Edu detects and recommends this as you begin to type import numba:
![](https://static.packt-cdn.com/products/9781789341072/graphics/assets/7218a2c0-03aa-404d-9524-d6da885ddb7c.png)
The following...