A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
Anaconda is a tool in the Development & Training category of a tech stack.
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What are some alternatives to Anaconda?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
Starship (Shell Prompt), Label Sleuth, Python, PyCharm, Visual Studio Code and 3 more are some of the popular tools that integrate with Anaconda. Here's a list of all 8 tools that integrate with Anaconda.
Discover why developers choose Anaconda. Read real-world technical decisions and stack choices from the StackShare community.Showing 4 of 5 discussions.
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