VueScan (64-bit)

最新版本 NumPy 1.16.0

NumPy 1.16.0

NumPy 1.16.0
VueScan 64 位掃描程序可與大多數高質量平板和膠片掃描儀配合使用,以生成具有色彩保真度和色彩平衡的掃描。它非常易於使用,並且還具有用於恢復專業攝影師使用的褪色,批量掃描和其他功能的高級功能.

您的掃描儀不再受操作系統支持嗎?還是你正在尋找更多的功能從你的掃描儀比它來?下載 VueScan。它取代了掃描儀隨附的軟件,因此您可以獲得更好的掃描效果並延長您的硬件使用壽命.

VueScan 在您的系統上不會改變任何內容,也不會在您的操作系統中安裝任何軟件,所有其他掃描儀軟件將繼續運行。您可以隨時購買 VueScan 64 位,並立即得到一個禁用圖像水印的序列號。

VueScan 功能:

兼容超過 3000 掃描儀
VueScan 與 Windows,Mac OS X 和 Linux 上超過 3000 個不同的掃描儀兼容。查看掃描儀是否工作的最好方法是下載 VueScan(僅需 60 秒)。您還可以查看支持的掃描儀列表.

為什麼要立即購買新產品?
VueScan 可以節省您的掃描儀,節省您的成本並提供您無法在其他地方找到的功能強大的新功能,甚至不包括製造商。使用 VueScan 防止您的掃描儀過時(和垃圾填埋場).

VueScan Mobile for iOS and Android
如果您有 iPad,iPhone 或 Android 手機或平板電腦,則可以使用 VueScan Mobile Free 進行掃描。這是一個完全免費的程序,可與內置相機和大多數聯網的惠普,佳能,愛普生,兄弟和三星掃描儀配合使用。

輸出以多種格式掃描
V 掃描可以輸出 PDF,JPEG 和 TIFF 掃描的文檔,照片和膠片格式。它還可以識別使用 OCR 的文本,並使用平板掃描儀和帶有自動文檔進紙器的掃描儀創建多頁 PDF

非常適合初學者和專業用戶使用
我們建立了 VueScan,使兩種完全不同類型的用戶可以使用它。初學者只需要運行 VueScan 並按下“掃描”按鈕。 Pro 用戶可以更改為“標準”或“專業”選項來解鎖強大的功能,以便完全控制掃描.

靈活的許可證
您可以在最多四台個人使用的計算機上使用 VueScan,以及任意操作系統,與任何數量的掃描儀,x32 和 x64,與一個單一的許可證。標準版有一年的免費升級,專業版有無限的免費升級.

注意:在演示版本的限制是水印掃描圖像.

也可用:下載 VueScan for Mac

ScreenShot

軟體資訊
檔案版本 NumPy 1.16.0

檔案名稱 numpy-1.16.0.zip
檔案大小 4.82 MB
系統 Windows XP64 / Vista64 / Windows 7 64 / Windows 8 64 / Windows 10 64
軟體類型 未分類
作者 Hamrick Software
官網 https://www.hamrick.com/
更新日期 2019-01-14
更新日誌

What's new in this version:

Highlights:
- Experimental support for overriding numpy functions, see __array_function__ below.
- The matmul function is now a ufunc. This provides better performance and allows overriding with __array_ufunc__.
- Improved support for the ARM and POWER architectures.
- Improved support for AIX and PyPy.
- Improved interop with ctypes.
- Improved support for PEP 3118.

New functions:
- New functions added to the numpy.lib.recfuntions module to ease the structured assignment changes: assign_fields_by_name, structured_to_unstructured, unstructured_to_structured, apply_along_fields, require_fields

New deprecations:
- The type dictionaries numpy.core.typeNA and numpy.core.sctypeNA are deprecated. They were buggy and not documented and will be removed in the 1.18 release. Usenumpy.sctypeDict instead.
- The numpy.asscalar function is deprecated. It is an alias to the more powerful numpy.ndarray.item, not tested, and fails for scalars.
- The numpy.set_array_ops and numpy.get_array_ops functions are deprecated.
- As part of NEP 15, they have been deprecated along with the C-API functions :c:func:PyArray_SetNumericOps and :c:func:PyArray_GetNumericOps. Users who wish to override the inner loop functions in built-in ufuncs should use :c:func:PyUFunc_ReplaceLoopBySignature.
- The numpy.unravel_index keyword argument dims is deprecated, use shape instead.
- The numpy.histogram normed argument is deprecated. It was deprecated previously, but no warning was issued.
- The positive operator (+) applied to non-numerical arrays is deprecated. See below for details.
- Passing an iterator to the stack functions is deprecated

Expired deprecations:
- NaT comparisons now return False without a warning, finishing a deprecation cycle begun in NumPy 1.11.
- np.lib.function_base.unique was removed, finishing a deprecation cycle begun in NumPy 1.4. Use numpy.unique instead.
- multi-field indexing now returns views instead of copies, finishing a deprecation cycle begun in NumPy 1.7. The change was previously attempted in NumPy 1.14 but reverted until now.
- np.PackageLoader and np.pkgload have been removed. These were deprecated in 1.10, had no tests, and seem to no longer work in 1.15.

Future changes:
NumPy 1.17 will drop support for Python 2.7

NumPy 1.16.0 相關參考資料
NumPy Reference - Numpy and Scipy Documentation

NumPy Reference, Release 1.16.0 itemsize [int] Length of one array element in bytes. nbytes [int] Total bytes consumed by the elements of the ...

https://docs.scipy.org

NumPy User Guide - Numpy and Scipy Documentation - SciPy.org

NumPy User Guide, Release 1.16.0. This guide is intended as an introductory overview of NumPy and explains how to install and make use of ...

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

NumPy 1.16.0 Release Notes. 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.

https://github.com

numpynumpy - GitHub

I've got numpy version updated automatically from PyPI to 1.16.0 version today and my tests have failed with the following error on numpy ...

https://github.com

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

NumPy v1.16 Manual. Welcome! This is the documentation for NumPy 1.16.0, last updated Jan 31, 2019. Parts of the documentation: ...

https://docs.scipy.org

Release Notes — NumPy v1.16 Manual

NumPy 1.16.0 Release Notes¶. This NumPy release is the last one to support Python 2.7 and will be maintained as a long term release with ...

https://docs.scipy.org

Release Notes — NumPy v1.17 Manual

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://docs.scipy.org

Releases · numpynumpy · GitHub

Commonly numpy.broadcast_arrays returns a writeable array with internal ...... The NumPy 1.16.1 release fixes bugs reported against the 1.16.0 release, and

https://github.com