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InMemoryDatasets.jl is a multithreaded package for data manipulation and is designed for Julia 1.6+ (64-bit OS). The core computation engine of the package is a set of customized algorithms developed specifically for columnar tables.

Bringing Python® and Julia together in seamless harmony. Call Python code from Julia and Julia code from Python via a symmetric interface. Simple syntax, so the Python code looks like Python and the Julia code looks like Julia. Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control. Fast non-copying conversion of numeric arrays in either direction: modify Python arrays (e.g. bytes, array. array, numpy.ndarray) from Julia or Julia arrays...

The Julia C++ Foreign Function Interface (FFI) and REPL. Now, this package provides an out-of-box installation experience on 64-bit Linux, macOS and Windows.

...This converter allows you to write a table in Excel instead, and export the current selection as LaTeX markup which can be pasted into an existing LaTeX document, or exported to a file and included via the \input command. Known to be compatible with Windows Excel 2000–2016 (32-bit and 64-bit) and Mac Excel 2004, 2011, and 2016. May also be compatible with other versions that support .xla add-ins. Does not work on LibreOffice Calc.