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Thonny (/ ˈ θ ɒ n i / THON-ee) is a free and open-source integrated development environment for Python that is designed for beginners. It was created by Aivar Annamaa, an Estonian programmer. It was created by Aivar Annamaa, an Estonian programmer.
Python (programming language) scientific libraries (36 P) Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total.
[4] [5] It is packaged as an optional part of the Python packaging with many Linux distributions. It is completely written in Python and the Tkinter GUI toolkit (wrapper functions for Tcl/Tk). IDLE is intended to be a simple IDE and suitable for beginners, especially in an educational environment. To that end, it is cross-platform, and avoids ...
Kivy, open source Python library for developing multitouch application software with a natural user interface (NUI). PyGTK, a popular cross-platform GUI library based on GTK+; furthermore, other GNOME libraries also have bindings for Python; PyQt, another cross-platform GUI library based on Qt; as above, KDE libraries also have bindings
Python uses the + operator for string concatenation. Python uses the * operator for duplicating a string a specified number of times. The @ infix operator is intended to be used by libraries such as NumPy for matrix multiplication. [104] [105] The syntax :=, called the "walrus operator", was introduced in Python 3.8. It assigns values to ...
The user community support includes a Discord chat room and product support forums. [13] A Twitter account dedicated to CircuitPython news was established in 2018. [14] A newsletter, Python on Microcontrollers, is published weekly since 15 November, 2016 by Adafruit to provide news and information on CircuitPython, MicroPython, and Python on single board computers. [15]
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
Numpy is one of the most popular Python data libraries, and TensorFlow offers integration and compatibility with its data structures. [66] Numpy NDarrays, the library's native datatype, are automatically converted to TensorFlow Tensors in TF operations; the same is also true vice versa. [66]