Fast multi-dimensional array library for C++
Blitz++ is a C++ class library for scientific computing which provides
performance on par with Fortran 77/90. It uses template techniques to
achieve high performance. Blitz++ provides dense arrays and vectors,
random number generators, and small vectors (useful for representing
multicomponent or vector fields).
From the project page [1]:
> PyTables is a package for managing hierarchical datasets and designed to
> efficiently and easily cope with extremely large amounts of data.
It offers read/write access to hdf5 archives through a hierarchical interface.
I am adding it, because pandas depends on tables for hdf5 read/write
functionality.
Note: The name is a bit of an issue. The project is called pytables, whereas
the python module is simply called tables. I chose to name the nix-expression
tables for consistency with the source-tarball and the module name.
[1]: http://www.pytables.org/moin
This adds additional compression modes to hdf5.
Note: The szip license may not be compatible with everyone's use case. Hence,
it is an optional dependency.
Description from the numexpr project page [1]:
> Numexpr is a fast numerical expression evaluator for NumPy. With it,
> expressions that operate on arrays (like "3*a+4*b") are accelerated and use
> less memory than doing the same calculation in Python.
I am adding it, because it is a dependency of the pytables package.
[1]: https://github.com/pydata/numexpr
Andreas Herrmann