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Version 20.03 is the latest stable release; however for the most up-to-date version the user can download the relatively stable nightly build or download the source code from SVN. Jennic Limited distributes a version of Code::Blocks customized to work with its microcontrollers. [5]
IDE, compiler, linker, debugger, flashing (in alphabetical order): Ac6 System Workbench for STM32 [note 1] [1] [2] (based on Eclipse and the GNU GCC toolchain with direct support for all ST-provided evaluation boards, Eval, Discovery and Nucleo, debug with ST-LINK) ARM Development Studio 5 by ARM Ltd. [3]
C# (/ ˌ s iː ˈ ʃ ɑːr p / see SHARP) [b] is a general-purpose high-level programming language supporting multiple paradigms.C# encompasses static typing, [16]: 4 strong typing, lexically scoped, imperative, declarative, functional, generic, [16]: 22 object-oriented (class-based), and component-oriented programming disciplines.
Blocks are a non-standard extension added by Apple Inc. to Clang 's implementations of the C, C++, and Objective-C programming languages that uses a lambda expression -like syntax to create closures within these languages. Blocks are supported for programs developed for Mac OS X 10.6+ and iOS 4.0+, [1] although third-party runtimes allow use on ...
2023.2.3 2023-10-11 Windows, Linux, macOS: Java, Python: Swing: Open core: Full version under Apache License 2.0: Yes Yes Yes Unknown Yes Yes (full version only) Yes (full version only) Yes Yes PEP 8 and others Yes Yes Yes Yes Yes PyDev / LiClipse (plug-in for Eclipse and Aptana) Appcelerator: 7.5.0 2020-01-10 Windows, Linux, macOS, FreeBSD ...
Smalltalk. Smalltalk is a purely object oriented programming language (OOP) that was originally created in the 1970s for educational use, specifically for constructionist learning, but later found use in business. It was created at Xerox PARC by Learning Research Group (LRG) scientists, including Alan Kay, Dan Ingalls, Adele Goldberg, Ted ...
MLIR (software) MLIR is a unifying software framework for compiler development. [ 1] MLIR can make optimal use of a variety of computing platforms such as GPUs, DPUs, TPUs, FPGAs, AI ASICS, and quantum computing systems (QPUs). [ 2] MLIR is a sub-project of the LLVM Compiler Infrastructure project and aims to build a "reusable and extensible ...
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