Item: Anaconda
Rating: 10
Author: Verified User

Use Cases and Deployment Scope

We use the Anaconda package for physics and engineering research. We get large data in accelerator physics experiments. We use Anaconda for many purpose, but especially for its Python libraries. We have mainly used this platform for data analysis and making a nice plot. Many faculty, staff and students are using it in their research.

Pros and Cons

Data analysis.
Machine learning.

It is very easy to install and run in any operating system.
I'm not sure Anaconda needs improvement.

Return on Investment

Work is efficient and very productive.
Results are reliable.

Support Rating

This is because many people nowadays use Anaconda distribution. It is very easy to use. You can get a lot of references online for this package. A lot of related problems and solutions based on Anaconda package are available in web. So you can easily figure out your problems.

Key Insights

Do you think Anaconda delivers good value for the price?

Yes

Are you happy with Anaconda's feature set?

Yes

Did Anaconda live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Anaconda go as expected?

Yes

Would you buy Anaconda again?

Yes

Likelihood to Recommend

Anaconda is an all-in-one package. It is free and easy to install in any operating system. I'm using Anaconda in physics and engineering-related results. It is very suitable in data analysis too. You can work with big data in a very simple way. It has Spyder, Jupyter and many more installed in one platform. Jupyter Notebook is very nice feature in Anaconda. I believe it is appropriate for every problem and in every field.

Anaconda is the best distribution which includes all in one

Overall Satisfaction with Anaconda