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Tkinter is a binding to the Tk GUI toolkit for Python. It is the standard Python interface to the Tk GUI toolkit, [1] and is Python's de facto standard GUI. [2] Tkinter is included with standard Linux, Microsoft Windows and macOS installs of Python. The name Tkinter comes from Tk interface.
[4] [5] Since Tcl/Tk 8, it offers "native look and feel" (for instance, menus and buttons are displayed in the manner of "native" software for any given platform). [6] Highlights of version 8.5 include a new theming engine, originally called Tk Tile, [7] but it is now generally referred to as "themed Tk", as well as improved font rendering. [8]
Qt up to version 4.5 used to have a licensing model that required a commercial license in some cases where FOX would not. wxWidgets promotes the use of native widgets on each supported platform. FLTK is a fast, low-footprint library that supports rapid application development, and requires less code to use, but lacks advanced widgets.
GNUstep is a free software implementation of the Cocoa (formerly OpenStep) Objective-C frameworks, widget toolkit, and application development tools for Unix-like operating systems and Microsoft Windows.
The GTK library contains a set of graphical control elements (); version 3.22.16 contains 186 active and 36 deprecated widgets. [9] GTK is an object-oriented widget toolkit written in the programming language C; it uses GObject (that is, the GLib object system) for object orientation.
Charles Petzold, who wrote several books about programming for the Windows API, said: "The original hello world program in the Windows 1.0 SDK was a bit of a scandal. HELLO.C was about 150 lines long, and the HELLO.RC resource script had another 20 or so more lines.
Visual Studio Code was first announced on April 29, 2015, by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [13]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...