If you were talking to someone whose organization is considering Anaconda, what would you say?
How would you rate it and why? Any other tips or advice?
My only advice to people considering this type of solution is just to use Anaconda. It is a good product. Other products are good as well, but this is one you should try in this category. On a scale of one to ten where one is the worst and ten is the best, I would rate Anaconda in comparison to other products as between nine and ten. It is a very good solution. I will rate it a nine as there is always room for improvement.
We use the on-premises deployment model. I'd rate the solution seven out of ten.
My advice to anybody who is researching this tool is to download and install it, then start exploring the different tools that are available. I suggest starting with Jupyter because it is easy to figure out, then move to Python tasks. This is a good tool that is quick to deploy with and pretty easy to use. I have not fully explored it yet, so I can only give it an average rating. I would rate this solution a five out of ten.
I'd rate the solution seven out of ten. I haven't been using the solution for too long, and I'm still learning things, so I need to explore more before rating it higher.
This is a great tool to work with, even if you are starting your career in analytics or another stream like data engineering or data science. This is a tool for everyone because you don't need to think about many things, such as what needs to be installed. I would rate this solution an eight out of ten.
Our team is working on expanding the use of Anaconda. They're doing some research with respect to some of the libraries and modules, trying to do different things with existing datasets. I have been doing some slicing and analysis based on what has already been developed, and we are trying new things now. My advice for anybody who is implementing this solution is to start with a straightforward deployment. However, if they want to start with deep learning immediately, the functionality is there, but I would recommend the full deployment. This is a good solution, but there is a little room for improvement. I would rate this solution an eight out of ten.
This is a product that I encourage people to use. This is a good solution, but I would like to see multi-language support. I would rate this solution a seven out of ten.
We use various deployment models but mostly work with hybrid models. We don't rely on Anaconda's deployment defense a lot. We use the solution mainly for Python distribution and deployment monitoring internals. We deploy in Docker and scale it. It's one of the best tools available out there. If you have to get started very quickly, it's great. Almost everything is ready for you to use. I think it's a wonderful tool for developers to get started with. I'd rate the solution nine out of ten.
I would recommend having a good background so that you know what you're getting into and whether Anaconda is the right solution for you. If you have a strong IT team to support the solution it's a very good tool to work on. I would rate the solution a seven out of 10.