Anaconda vs Domino

• Clear install story. There are a lot of ways to install python. There's only one way to install anaconda. This makes teaching and standardizing much easier.
• Batteries included. It's easy to install things in python, but anaconda ships with most of what you need out of the box. This helps with standardization and reproducibility.
• Good integrations with Jupyter and other visual tools. Jupyter is really convenient when learning various python packages. Anaconda makes these tools easy to launch and to use.

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• Anaconda could greatly benefit by integrating with Git and other versioning software.
• The software's default installation is relatively bloated, slower on older machines, and could be improved by allowing for a lean default installation environment.
• Anaconda has an issue with supporting the current version of Computer-Vision, a commonly used machine learning package.

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• We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
• We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.

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