NumPy 1.22.4
第一次啟動後，您將看到一條消息，要求您從 MAC 地址取鹽，salt 用作第二個加密密鑰。你將能夠改變設置中的鹽。如果你想在另一台 PC 上解密你的文件，則需要使用相同的加密參數，這個參數也保存在 Crypto Notepad.settings 文件中，主鍵除外，沒有保存到任何地方.
Crypto Notepad 特性：
拖放支持檢測網址和郵件鏈接完全可定制的編輯器。能夠自定義顏色和字體能夠自定義加密的不同參數（哈希算法，密鑰大小，密碼迭代，salt）包括與應用程序擴展的默認 Windows 記事本關聯的所有功能輕鬆搜索內容注意：需要。 NET Framework.
ScreenShot
| 軟體資訊 | |
|---|---|
| 檔案版本 | NumPy 1.22.4 |
| 檔案名稱 | numpy-1.22.4.zip |
| 檔案大小 | |
| 系統 | Windows XP / Vista / Windows 7 / Windows 8 / Windows 10 |
| 軟體類型 | 免費軟體 |
| 作者 | Alexander Sigmanor |
| 官網 | https://github.com/Sigmanor/Crypto-Notepad |
| 更新日期 | 2022-05-21 |
| 更新日誌 | |
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NumPy 1.22.4 相關參考資料
Cannot install latest version of Numpy (1.22.3)
2022年3月31日 — I am trying to install the latest version of numpy, the 1.22.3, but it looks like pip is not able to find this last release. I know I can ... https://stackoverflow.com install numpy 1.22.4 and tqdm 4.65.0 needs to be supported
2023年4月15日 — Duplicates I have searched the existing issues Steps to reproduce numpy 1.22.4 and tqdm 4.65.0 needs to be supported Current behavior ... https://github.com News
universal2 wheels for Python 3.8 and Python 3.9 on Mac,; improved documentation ... NumPy 1.22.4 (release notes) – 20 May 2022. NumPy 1.21.6 (release notes) ... https://numpy.org NumPy
NumPy is the fundamental package for scientific computing with Python. Website: https://www.numpy.org; Documentation: https://numpy.org/doc ... https://pypi.org NumPy 1.22 documentation
NumPy 1.22.4 API documentation with instant search, offline support, keyboard shortcuts, mobile version, and more. https://devdocs.io numpy 1.22.4
It provides: a powerful N-dimensional array object. sophisticated (broadcasting) functions. tools for integrating C/C++ and Fortran code. https://pypi.org NumPy 1.22.4 Release Notes
NumPy 1.22.4 is a maintenance release that fixes bugs discovered after the 1.22.3 release. In addition, the wheels for this release are built using the recently ... https://numpy.org numpy 1.22.4 vulnerabilities
[email protected] vulnerabilities. Fundamental package for array computing in Python. latest version. 1.26.2. latest non vulnerable version. https://security.snyk.io |
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