Anaconda Valuable Features
Data Engineer at a government with self employed
There are several things that I think are valuable in the product. My first impressions were the product was fairly responsive, sleek and had a beautiful interface that was pleasant to use. It helped me to be able to easily share code between me and my colleagues.
I had R installed at that time as well. It worked with R as well as Python. R is good for statistics and visualization. I've used R with Tableau as well and for my situation at the time, Anaconda was a bit superior in respect to this integration.View full review »
Head - Data Science (Senior Program Manager) at a tech services company with 51-200 employees
The most valuable feature is the set of libraries that are used to support the functionality that we require. We use different libraries for finance and numbers, and we use the scikit-learn library for machine learning. A few of these libraries are very helpful and there is a very long list of them.View full review »
Solution Architect/Technical Manager - Business Intelligence at a tech services company with 5,001-10,000 employees
The most advantageous feature is the logic building.
The Python libraries are all readily available and there is no need to install anything separately.
There are many good things that are pre-built, and including even more of these would be a great benefit to the developer community. It would allow us to try specific models and use cases, then customize them as per a particular activity.View full review »
Engineer at a university with 51-200 employees
The best part of the solution is the virtualization. You can use Python within the virtual environment. It gives us more than the local environment. In there you can do lots of useful things.
The documentation is excellent and the solution has a very large and active community that supports it.View full review »
Analytics Analyst at a tech services company with 10,001+ employees
It's interesting. It's user friendly. That's what makes it outstanding among the other competitors.
It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science.View full review »
I mainly used the product for the libraries.View full review »
The notebook feature is an improvement over RStudio.View full review »
Sr PHP Developer at a manufacturing company with 10,001+ employees
The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results.
I found the navigators and the other features to be very good for quick development.
There is a system that is similar to a marketplace where we can search for and install all the tools that we need, and they have been collated in one place.View full review »
Senior Software Design Engineer at a financial services firm with 5,001-10,000 employees
When I try to develop an implementer model, I can just do some trial and error and see the output immediately. Then later I can move them onto the Python file. Until that happens, I can see that it's there. That's the most useful feature for me in Anaconda.
We use Jupyter notebooks and it was all available in one package when we installed Python.View full review »
R&D Program Manager at a manufacturing company with 10,001+ employees
The solution's most valuable aspects include the repositories, the way we log, the way we install that repository management, and how we can easily integrate the solution with Jupyter Notebook.
The virtual environment is very good.View full review »