Easily creating and manipulating numerical data

NumPy

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NumPy 1.16.4

  -  4.89 MB  -  Open Source

Sometimes latest versions of the software can cause issues when installed on older devices or devices running an older version of the operating system. Software makers usually fix these issues but it can take them some time. What you can do in the meantime is to download and install an older version of NumPy 1.16.4.


For those interested in downloading the most recent release of NumPy or reading our review, simply click here.


All old versions distributed on our website are completely virus-free and available for download at no cost.


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  • NumPy 1.16.4 Screenshots

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    NumPy 1.16.4 Screenshot 1
  • NumPy 1.16.4 Screenshot 2
  • NumPy 1.16.4 Screenshot 3
  • NumPy 1.16.4 Screenshot 4
  • NumPy 1.16.4 Screenshot 5

What's new in this version:

- BUG: Some PyPy versions lack PyStructSequence_InitType2.
- MAINT, DEP: Fix deprecated assertEquals()
- BUG: Fix structured_to_unstructured on single-field types (backport)
- BLD: Make CI pass again with pytest 4.5
- TST: Register markers in conftest.py.
- BUG: Removes ValueError for empty kwargs in arraymultiter_new
- BUG: Add TypeError to accepted exceptions in crackfortran.
- BUG: Handle subarrays in descr_to_dtype
- BUG: Protect generators from log(0.0)
- BUG: Always return views from structured_to_unstructured when...
- BUG: Catch stderr when checking compiler version
- BUG: longdouble(int) does not work
- BUG: distutils/system_info.py fix missing subprocess import (#13523)
- BUG,DEP: Fix writeable flag setting for arrays without base
- MAINT: Prepare for the 1.16.4 release.
- BUG: special case object arrays when printing rel-, abs-error

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