NumPy 1.17.5 軟體下載
軟體資訊 | |
---|---|
檔案版本 | NumPy 1.17.5 |
檔案名稱 | numpy-1.17.5.zip |
檔案大小 | 6.1 MB |
更新日期 | 2020-01-01 |
軟體介紹 & 更新資訊 | |
|
|
What's new in this version: - This release contains fixes for bugs reported against NumPy 1.17.4 along with some build improvements. The Python versions supported in this release are 3.5-3.8 NumPy 1.17.5 相關參考資料
NumPy 1.16.5 Release Notes — NumPy v1.19.dev0 Manual
The NumPy 1.16.5 release fixes bugs reported against the 1.16.4 release, and also backports several enhancements from master that seem appropriate for a ... https://numpy.org NumPy 1.17 documentation — DevDocs
NumPy 1.17.0 API documentation with instant search, offline support, keyboard shortcuts, mobile version, and more. https://devdocs.io NumPy 1.17.0 Release Notes — NumPy v1.19.dev0 Manual
This NumPy release contains a number of new features that should ... Downstream developers should use Cython >= 0.29.11 for Python 3.8 support and ... https://numpy.org NumPy 1.17.4 Release Notes — NumPy v1.19.dev0 Manual
This release contains fixes for bugs reported against NumPy 1.17.3 along with some build improvements. The Python versions supported in this release are ... https://numpy.org numpy 1.9.2 - PyPI
NumPy: array processing for numbers, strings, records, and objects. ... 1.17.5. Jan 1, 2020 · 1.17.4. Nov 11, 2019 · 1.17.3. Oct 17, 2019 · 1.17.2. Sep 7, 2019. https://pypi.org numpy · PyPI
NumPy is the fundamental package for array computing with Python. https://pypi.org Release Notes — NumPy v1.16 Manual - Numpy and Scipy
This NumPy release is the last one to support Python 2.7 and will be maintained as a long term release with bug fixes until 2020. Support for ... https://docs.scipy.org Releases · numpynumpy · GitHub
NumPy 1.17.5 Release Notes. This release contains fixes for bugs reported against NumPy 1.17.4 along with some build improvements. The Python versions ... https://github.com SciPy.org — SciPy.org
SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source ... NumPy 1.17.5 released 2020-01-01. See Obtaining NumPy & SciPy libraries. https://www.scipy.org |