Shotcut (64-bit)

最新版本 NumPy 1.16.1

NumPy 1.16.1

NumPy 1.16.1
Shotcut 64 位是一個免費的,開源的跨平台的 Windows,Mac 和 Linux 視頻編輯器。主要功能包括支持多種格式; 不需要進口意味著本地時間線編輯; Blackmagic Design 支持輸入和預覽監視; 和解決方案支持 4k。使用 Shotcut 64 位綜合軟件編輯您的視頻!下載 Windows 的 Shotcut Offline Installer 安裝程序.

寬屏格式支持
由於 FFmpeg 支持數百種音頻和視頻格式和編解碼器。不需要任何導入,這意味著本地編輯,加上項目內的多格式時間線,分辨率和幀速率。支持多種視頻格式的幀精確搜索.

設備和傳輸選項
Blackmagic Design SDI 和 HDMI,用於輸入和預覽監控。屏幕,攝像頭和音頻捕捉。網絡流播放。支持高達 4k 的分辨率,並從 SDI,HDMI,網絡攝像頭,JACK& 脈衝音頻,IP 流,X11 屏幕和 Windows DirectShow 設備.

Sleek,直觀的界面
Multiple 停靠和不可停靠的面板,包括詳細的媒體屬性,最近搜索文件,縮略圖播放列表,過濾器面板,歷史視圖,編碼面板,作業隊列和融化的服務器和播放列表。還支持從文件管理器中拖放資源。

也可用:下載 Shotcut for Mac

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軟體資訊
檔案版本 NumPy 1.16.1

檔案名稱 numpy-1.16.1.zip
檔案大小 4.84 MB
系統 Windows 7 64 / Windows 8 64 / Windows 10 64
軟體類型 開源軟體
作者 Meltytech, LLC.
官網 https://www.shotcut.org/
更新日期 2019-02-01
更新日誌

What's new in this version:

Enhancements
- Add mm->q floordiv
- Port np.core.overrides to C for speed
- Add np.ctypeslib.as_ctypes_type(dtype), improve np.ctypeslib.as_ctypes
- Add "max difference" messages to np.testing.assert_array_equal...
- Add mm->qm divmod
- Add _dtype_ctype to namespace for freeze analysis

Compatibility notes:
- The changed error message emited by array comparison testing functions may affect doctests. See below for detail.
- Casting from double and single denormals to float16 has been corrected. In some rare cases, this may result in results being rounded up instead of down, changing the last bit (ULP) of the result.

NumPy 1.16.1 相關參考資料
numpy 1.16.4 on PyPI - Libraries.io

NumPy is the fundamental package for array computing with Python. - 1.16.4 - a C package on PyPI - Libraries.io.

https://libraries.io

NumPy Reference — NumPy v1.16 Manual

This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they do. For learning how ...

https://docs.scipy.org

numpy · PyPI

NumPy is the fundamental package for array computing with Python.

https://pypi.org

numpy1.16.0-notes.rst at master · numpynumpy · GitHub

This NumPy release is the last one to support Python 2.7 and will be ... Support for Python 3.4 been dropped, the supported Python versions are 2.7 and 3.5-3.7.

https://github.com

numpy1.16.1-notes.rst at master · numpynumpy · GitHub

NumPy 1.16.1 Release Notes. The NumPy 1.16.1 release fixes bugs reported against the 1.16.0 release, and also backports several enhancements from master ...

https://github.com

Overview — NumPy v1.16 Manual - Numpy and Scipy Documentation

NumPy v1.16 Manual. Welcome! This is the documentation for NumPy 1.16.1, last updated Jan 31, 2019. Parts of the documentation: ...

https://docs.scipy.org

Release Notes — NumPy v1.16 Manual - Numpy and Scipy ...

The NumPy 1.16.1 release fixes bugs reported against the 1.16.0 release, and also backports several enhancements from master that seem ...

https://docs.scipy.org

Releases · numpynumpy · GitHub

The NumPy 1.16.1 release fixes bugs reported against the 1.16.0 release, and also backports several enhancements from master that seem appropriate for a

https://github.com