NumPy 1.21.3
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| 軟體資訊 | |
|---|---|
| 檔案版本 | NumPy 1.21.3 |
| 檔案名稱 | numpy-1.21.3.zip |
| 檔案大小 | |
| 系統 | Windows XP64 / Vista64 / Windows 7 64 / Windows 8 64 / Windows 10 64 |
| 軟體類型 | 開源軟體 |
| 作者 | Don Ho |
| 官網 | http://www.notepad-plus-plus.org/ |
| 更新日期 | 2021-10-21 |
| 更新日誌 | |
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What's new in this version: - The NumPy 1.21.3 is a maintenance release the fixes a few bugs discovered after 1.21.2. It also provides 64 bit Python 3.10.0 wheels NumPy 1.21.3 相關參考資料
Numpy - PyPI
NumPy is the fundamental package for array computing with Python. https://pypi.org NumPy 1.21.0 Release Notes
initial work on the new dtype infrastructure and casting,. universal2 wheels for Python 3.8 and Python 3.9 on Mac,. improved documentation,. improved ... https://numpy.org NumPy 1.21.1 Release Notes
The NumPy 1.21.1 is maintenance release that fixes bugs discovered after the 1.21.0 ... The 1.21.x series is compatible with development Python 3.10. https://numpy.org NumPy 1.21.2 may not yet support Python 3.10 - Stack Overflow
If on Windows, numpy has not yet released a precompiled wheel for Python 3.10. However you can try the unofficial wheels available at ... https://stackoverflow.com NumPy 1.21.3 Release Notes
NumPy 1.21.3 is a maintenance release that fixes a few bugs discovered after 1.21.2. It also provides 64 bit Python 3.10.0 wheels. Note a few oddities about ... https://numpy.org NumPy 1.21.4 Release Notes
The most important fix here is a fix for the NumPy header files to make them work for both x86_64 and M1 hardware when included in the Mac universal2 wheels. https://numpy.org NumPy 1.21.5 Release Notes - GitHub
The fundamental package for scientific computing with Python. - Releases · numpy/numpy. https://github.com Release Notes — NumPy v1.21 Manual
2021年6月22日 — The numpy.i file for swig is Python 3 only. Void dtype discovery in np.array · C API changes · The ... https://numpy.org Release notes — NumPy v1.23.dev0 Manual
The numpy.i file for swig is Python 3 only. Void dtype discovery in np.array · C API changes · The ... https://numpy.org |
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