What do you like most about Anaconda?
Thanks for sharing your thoughts with the community!
With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages.
The documentation is excellent and the solution has a very large and active community that supports it.
It's interesting. It's user friendly. That's what makes it outstanding among the others.
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.
The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.
The virtual environment is very good.
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.
The solution is stable.
The most valuable feature is the set of libraries that are used to support the functionality that we require.
The most advantageous feature is the logic building.
The notebook feature is an improvement over RStudio.
The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.
It helped us find find the optimal area for where our warehouse should be located.
When setting up an ML platform, can either Anaconda or SageMaker be used in an AWS deep learning machine for ML?
Is one better than the other?
Let the community know what you think. Share your opinions now!