How-To: Using Anaconda - Create a Virtual Conda Environment via Graphical Interface

Question

How do I create a virtual conda environment in Anaconda Navigator graphical user interface?

 

Answer

1. Search and Open Anaconda Navigator.

a. Enter "anaconda" in Windows Search bar.

b. Select Open from right hand column in search pop-up window.

Search results window for Anacaonda Navigator with search bar containing "andaconda" and "Open" in results highlighted

 

2. Anaconda Navigator application window.

Anaconda Navigator window

 

3. Select Environments and then Create.

a. In the left column, select Environments.

b. At bottom of middle column, select Create.

Anaconda Navigator window with Environments selected and highlighted, and Create at bottom of second column highlighted.

 

4. Fill out popup window:

a. Enter Name for new environment,

b. Check Python box,

c. Select Version from drop-down,

d. Select Create.  

Create new environment popup window with name, python, version, and create highlighted

 

5. New environment is now shown in Environment List.

Anaconda Navigator window with run icon highlighted for new environment

 

To activate and run in the created environment see link below: How To: Using Anaconda - Activate a Virtual Conda Environment via Graphical Interface

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A central guide for researchers to build stable and high-performance coding environments using the Conda ecosystem. It brings together best practices—such as choosing the right distribution and using "blueprints" to share work—to help you avoid technical conflicts and ensure your research can be perfectly recreated by others. By following these strategies, you can protect your productivity and make your software projects both portable and reliable.
Think of Conda as a way to create separate, private "workspaces" on your computer for different projects so their software settings don't get mixed up or cause errors. While other tools only handle one coding language, Conda is a "heavy hitter" that can manage almost any software component, making it the top choice for complex fields like Data Science and AI. By using these isolated spaces, you keep your computer stable and make it easy to share your exact setup with others.