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PyQt is a Python binding of the cross-platform GUI toolkit Qt, implemented as a Python plug-in.PyQt is free software developed by the British firm Riverbank Computing. It is available under similar terms to Qt versions older than 4.5; this means a variety of licenses including GNU General Public License (GPL) and commercial license, but not the GNU Lesser General Public License (LGPL). [3]
Qt (/ˈkjuːt/ or /ˈkjuː ˈtiː/; pronounced "cute" [7] [8] or as an initialism) is a cross-platform application development framework for creating graphical user interfaces as well as cross-platform applications that run on various software and hardware platforms such as Linux, Windows, macOS, Android or embedded systems with little or no change in the underlying codebase while still being ...
Lazarus with Qt5 interface: LGPL: Python: PyOtherSide – only for QML ISC: Python PyQt [10] GPL: Commercial proprietary: Python Qt for Python – Qt's official Python bindings [11] LGPL: LGPL or commercial proprietary [2] Python PythonQt [12] LGPL: OCaml: lablqml – QML support LGPL: LGPL or commercial: QML: QtQuick – built into Qt [13 ...
The code editor in Qt Creator supports syntax highlighting for various languages. In addition to that, the code editor can parse code in C++ and QML languages and as a result code completion, context-sensitive help, semantic navigation are provided. [9] Qt Designer is a tool for designing and building graphical user interfaces (GUIs) from Qt ...
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Code Year was a free incentive Codecademy program intended to help people follow through on a New Year's Resolution to learn how to program, by introducing a new course for every week in 2012. [32] Over 450,000 people took courses in 2012, [33] [34] and Codecademy continued the program into 2013. Even though the course is still available, the ...
Download QR code; Print/export Download as PDF; Printable version; In other projects ... TeX editors that use Qt (5 P) V. Video software that uses Qt (1 C, 10 P)
The code intelligence features speed up editing, facilitated navigation through code, and inspected code for errors. These features rely both on static analysis of Python code found in the project and on the Python Path and runtime analysis of code whenever the debugger is active or the code is active in the integrated Python Shell.
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