What is Anaconda?
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 Data Science Tools category of a tech stack.
Who uses Anaconda?
5 companies reportedly use Anaconda in their tech stacks, including Data analysis, ADEXT, and Luuna.
30 developers on StackShare have stated that they use Anaconda.
Python, Visual Studio, PyCharm, Visual Studio Code, and Atom-IDE are some of the popular tools that integrate with Anaconda. Here's a list of all 5 tools that integrate with Anaconda.
Why developers like Anaconda?
Here’s a list of reasons why companies and developers use Anaconda
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Anaconda Alternatives & Comparisons
What are some alternatives to Anaconda?
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
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.
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Pentaho Data Integration
It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.
It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.