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ROS 2 was announced at ROSCon 2014, [64] the first commits to the ros2 repository were made in February 2015, followed by alpha releases in August 2015. [65] The first distribution release of ROS 2, Ardent Apalone, was released on 8 December 2017, [ 65 ] ushering in a new era of next-generation ROS development.
Version 2.0 was released as open source software June 24, 2008 and version 3.0.2 was released February 7, 2017. [4] The framework is written using the Python programming language and has an active community of contributors. It is released under Apache License 2.0 and can be downloaded from robotframework.org. In 2020 survey it scored 8 among 12 ...
The ROSE compiler framework, developed at Lawrence Livermore National Laboratory (LLNL), is an open-source software compiler infrastructure to generate source-to-source analyzers and translators for multiple source languages including C (C89, C99, Unified Parallel C (UPC)), C++ (C++98, C++11), Fortran (77, 95, 2003), OpenMP, Java, Python, and PHP.
Open Robotics is a nonprofit corporation headquartered in Mountain View, California.It is the primary maintainer of the Robot Operating System, and the Gazebo simulator. [1] [2] Its stated mission is to support "the development, distribution and adoption of open source software for use in robotics research, education, and product development".
Parallel 2.x and 3.x releases then ceased, and Python 2.7 was the last release in the 2.x series. [30] In November 2014, it was announced that Python 2.7 would be supported until 2020, but users were encouraged to move to Python 3 as soon as possible. [31] Python 2.7 support ended on January 1, 2020, along with code freeze of 2
Twisted is an event-driven network programming framework written in Python and licensed under the MIT License.. Twisted projects variously support TCP, UDP, SSL/TLS, IP multicast, Unix domain sockets, many protocols (including HTTP, XMPP, NNTP, IMAP, SSH, IRC, FTP, and others), and much more.
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
Python added support for SocketCAN in version 3.3. [2] An open source library python-can provides SocketCAN support for Python 2 and Python 3 [3] [circular reference]. Installing a CAN device requires loading the can_dev module and configuring the IP link to specify the CAN bus bitrate, for example: