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\r\nRelease notes\r\n

Sourced from numpy's\r\nreleases.

\r\n
\r\n

v2.0.0

\r\n

NumPy 2.0.0 Release Notes

\r\n

NumPy 2.0.0 is the first major release since 2006. It is the result\r\nof\r\n11 months of development since the last feature release and is the work\r\nof 212 contributors spread over 1078 pull requests. It contains a large\r\nnumber of exciting new features as well as changes to both the Python\r\nand C APIs.

\r\n

This major release includes breaking changes that could not happen in\r\na\r\nregular minor (feature) release - including an ABI break, changes to\r\ntype promotion rules, and API changes which may not have been emitting\r\ndeprecation warnings in 1.26.x. Key documents related to how to adapt to\r\nchanges in NumPy 2.0, in addition to these release notes, include:

\r\n
    \r\n
  • The numpy-2-migration-guide
    • \r\n
  • The Numpy 2.0-specific advice in for\r\ndownstream package authors
    • \r\n
\r\n

Highlights

\r\n

Highlights of this release include:

\r\n
    \r\n
  • New features:\r\n
      \r\n
    • A new variable-length string dtype,\r\nnumpy.dtypes.StringDType and a new\r\nnumpy.strings namespace with performant ufuncs for string\r\noperations,
      • \r\n
    • Support for float32 and longdouble in all\r\nnumpy.fft functions,
      • \r\n
    • Support for the array API standard in the main numpy\r\nnamespace.
      • \r\n
    \r\n
    • \r\n
  • Performance improvements:\r\n
      \r\n
    • Sorting functions sort, argsort,\r\npartition, argpartition have been\r\naccelerated through the use of the Intel x86-simd-sort and\r\nGoogle Highway libraries, and may see large (hardware-specific)\r\nspeedups,
      • \r\n
    • macOS Accelerate support and binary wheels for macOS >=14, with\r\nsignificant performance improvements for linear algebra\r\noperations on macOS, and wheels that are about 3 times smaller,
      • \r\n
    • numpy.char fixed-length string operations have\r\nbeen accelerated by implementing ufuncs that also support\r\nnumpy.dtypes.StringDType in addition to the\r\nfixed-length string dtypes,
      • \r\n
    • A new tracing and introspection API,\r\nnumpy.lib.introspect.opt_func_info, to determine\r\nwhich hardware-specific kernels are available and will be\r\ndispatched to.
      • \r\n
    • numpy.save now uses pickle protocol version 4 for\r\nsaving\r\narrays with object dtype, which allows for pickle objects larger\r\nthan 4GB and improves saving speed by about 5% for large arrays.
      • \r\n
    \r\n
    • \r\n
  • Python API improvements:
    • \r\n
\r\n\r\n
\r\n

... (truncated)

\r\n
\r\n
\r\nCommits\r\n
    \r\n
  • 1d49c7f\r\nMerge pull request #26698\r\nfrom charris/prepare-2.0.0
    • \r\n
  • 2103511\r\nDOC: Remove duplicate in author list.
    • \r\n
  • db8030e\r\nBUG: Change cibuildwheel version [wheel build]
    • \r\n
  • 1a68264\r\nREL: Prepare for the NumPy 2.0.0 release [wheel build]
    • \r\n
  • c8665ba\r\nMerge pull request #26696\r\nfrom charris/backport-26582
    • \r\n
  • 103f4dd\r\nMerge pull request #26697\r\nfrom charris/backport-25963
    • \r\n
  • c193dcd\r\nMerge pull request #26695\r\nfrom charris/backport-26667
    • \r\n
  • 8fa8191\r\nBUG: Fix bug in numpy.pad() (#25963)
    • \r\n
  • ece3559\r\nBUG: weighted nanpercentile, nanquantile and multi-dim q (#26582)
    • \r\n
  • b31e195\r\nBUG: Adds asanyarray to start of linalg.cross (#26667)
    • \r\n
  • Additional commits viewable in compare\r\nview
    • \r\n
\r\n
\r\n
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