We have hosted the application dataframe in order to run this application in our online workstations with Wine or directly.


Quick description about dataframe:

This is a C++ analytical library designed for data analysis similar to libraries in Python and R. For example, you would compare this to Pandas, R data.frame, or Polars. You can slice the data in many different ways. You can join, merge, and group-by the data. You can run various statistical, summarization, financial, and ML algorithms on the data. You can add your custom algorithms easily. You can multi-column sort, custom pick, and delete the data. DataFrame also includes a large collection of analytical algorithms in the form of visitors. These are from basic stats such as Mean, and Std Deviation and return, � to more involved analysis such as Affinity Propagation, Polynomial Fit, and Fast Fourier transform of arbitrary length � including a good collection of trading indicators. You can also easily add your own algorithms.

Features:
  • Support any type either built-in or user defined without needing new code
  • Multi-threading but only when it makes sense
  • Documentation available
  • DataFrame only depends on C++ language and its standard library
  • Examples available


Programming Language: C++.
Categories:
Machine Learning

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