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GYP (generate your projects) is an obsolete build automation tool created in 2011 by Google. [1] Its purpose was to generate native IDE project files (such as Visual Studio and Xcode) for building the Chromium web browser and is licensed as open source software using the BSD software license. The functionality of GYP is similar to the CMake ...
To use this capability one has to define the mask that would be matched against the list of folders with each synchronization. This is achieved by using Python 's lambda capability; for example, to synchronize only "INBOX", "Sent Mail" and "Received" folders one should specify the following rule: [ 5 ]
GYP (Generate Your Projects), a build automation tool (similar to CMake and Premake) designed to generate native IDE project files (e.g., Visual Studio, Xcode, etc.) from a single configuration; Image Packaging System (IPS), an advanced, cross-platform package management system primarily used in Solaris and OpenSolaris/illumos derivatives
As with Cygwin, MSYS2 supports path translation for non-MSYS2 software launched from it. For example one can use the command notepad++ /c/Users/John/file.txt to launch an editor that will open the file with the Windows path C:\Users\John\file.txt. [9] [8] MSYS2 and its bash environment is used by Git and GNU Octave for their official Windows ...
Django (/ ˈ dʒ æ ŋ ɡ oʊ / JANG-goh; sometimes stylized as django) [6] is a free and open-source, Python-based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern.
The new president is tossing out some of the biggest names in the tech world as possible buyers of TikTok’s US operations, most recently Microsoft. "I like bidding wars because you make your ...
Ninja is a build system developed by Evan Martin, [4] a Google employee. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible.
In 2010, the Project Phoenix began; an effort to clean up the wxPython implementation and in the process make it compatible with Python 3. [4] The project is a new implementation of wxPython, focused on improving speed, maintainability and extensibility.