This is an innovative machine learning project that utilizes patient reviews with many other attributes to analyze and evaluate the effectiveness of drugs.
NumPy 2.0.0 is the first major release since 2006. It is the result of
11 months of development since the last feature release and is the work
of 212 contributors spread over 1078 pull requests. It contains a large
number of exciting new features as well as changes to both the Python
and C APIs.
This major release includes breaking changes that could not happen in a
regular minor (feature) release - including an ABI break, changes to
type promotion rules, and API changes which may not have been emitting
deprecation warnings in 1.26.x. Key documents related to how to adapt to
changes in NumPy 2.0, in addition to these release notes, include:
A new variable-length string dtype, numpy.dtypes.StringDType and a new
numpy.strings namespace with performant ufuncs for string operations,
Support for float32 and longdouble in all
numpy.fft functions,
Support for the array API standard in the main numpy
namespace.
Performance improvements:
Sorting functions sort, argsort,
partition, argpartition have been
accelerated through the use of the Intel x86-simd-sort and
Google Highway libraries, and may see large (hardware-specific)
speedups,
macOS Accelerate support and binary wheels for macOS >=14, with
significant performance improvements for linear algebra
operations on macOS, and wheels that are about 3 times smaller,
numpy.char fixed-length string operations have
been accelerated by implementing ufuncs that also support
numpy.dtypes.StringDType in addition to the
fixed-length string dtypes,
A new tracing and introspection API,
numpy.lib.introspect.opt_func_info, to determine
which hardware-specific kernels are available and will be
dispatched to.
numpy.save now uses pickle protocol version 4 for saving
arrays with object dtype, which allows for pickle objects larger
than 4GB and improves saving speed by about 5% for large arrays.
Python API improvements:
... (truncated)
Commits
1d49c7f Merge pull request #26698 from charris/prepare-2.0.0
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Bumps numpy from 1.26.4 to 2.0.0.
Release notes
Sourced from numpy's releases.
... (truncated)
Commits
1d49c7fMerge pull request #26698 from charris/prepare-2.0.02103511DOC: Remove duplicate in author list.db8030eBUG: Change cibuildwheel version [wheel build]1a68264REL: Prepare for the NumPy 2.0.0 release [wheel build]c8665baMerge pull request #26696 from charris/backport-26582103f4ddMerge pull request #26697 from charris/backport-25963c193dcdMerge pull request #26695 from charris/backport-266678fa8191BUG: Fix bug in numpy.pad() (#25963)ece3559BUG: weighted nanpercentile, nanquantile and multi-dim q (#26582)b31e195BUG: Adds asanyarray to start of linalg.cross (#26667)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show