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Anaconda vs Pandas: What are the differences?

What is Anaconda? The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders. 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.

What is Pandas? High-performance, easy-to-use data structures and data analysis tools for the Python programming language. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

Anaconda and Pandas belong to "Data Science Tools" category of the tech stack.

Pandas is an open source tool with 20.2K GitHub stars and 8K GitHub forks. Here's a link to Pandas's open source repository on GitHub.

According to the StackShare community, Pandas has a broader approval, being mentioned in 73 company stacks & 49 developers stacks; compared to Anaconda, which is listed in 4 company stacks and 5 developer stacks.

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Pros of Anaconda
Pros of Pandas
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      Easy data frame management
    • 1
      Extensive file format compatibility

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