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Index of Miniconda How-To Articles for Virtual Conda Environments
- Knowledge Base
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Index of Anaconda Navigator articles.
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Quick start guide to using Anaconda for Python on University-managed computers including installation without administrator credentials, utilization of unique conda environments for each project, adding additional channels for packages and backing up configurations for portability and reproducibility. Please see linked articles for detailed how-to instructions and the additional assistance links for more documents related to the subject.
- Knowledge Base
- Software
Quick start guide to using Miniconda for Python on University-managed computers including installation without administrator credentials, utilization of unique conda environments for each project, adding additional channels for packages and backing up configurations for portability and reproducibility. Please see linked articles for detailed how-to instructions and the additional assistance links for more documents related to the subject.
- Knowledge Base
- Research & High Performance Computing
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.
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Index of Articles for Managed Virtual Conda Environments
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- Software
Remove a Virtual Conda Environment via Command Line Interface
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- Software
Remove a Virtual Conda Environment via Graphical Interface