The latest stable release of FEniCS is version 2019.1.0, which was released on April 19th 2019. FEniCS on Docker To use our prebuilt, high-performance Docker images, first install Docker CE for your platform (Windows, Mac or Linux) and then run the following command: crayon-605b93763553/ To run the FEniCS Docker image, use the command fenicsproject run. Anaconda Navigator Updater / proprietary - Continuum Analytics, Inc. Nbconvert: 5.1.1: converts notebooks to various other formats via Jinja templates / BSD: nbformat: 4.3.0: The reference implementation of the Jupyter Notebook format / BSD: ncurses Linux Mac: 5.9: Free software emulation of curses / Free software - X11 License: neon Linux Mac.
Method 2 − Another way of installing packages is by the use of terminal or an Anaconda Prompt − conda install opencv. Above command will install OpenCV package into your current environment. To install specific a specific version of a opencv package − conda install opencv-3.4.2. For removing Anaconda directory which can be named either anaconda2 or anaconda3 enter the appropriate command: rm -rf /anaconda3. The last step is to remove Anaconda-Clean backups. For this type up the following command into Terminal: rm -rf /.anacondabackup. Please note that this removal method may leave Anaconda service files on your Mac.
The latest stable release of FEniCS is version 2019.1.0, which was released on April 19th 2019.
FEniCS on Docker
To use our prebuilt, high-performance Docker images, first install Docker CE for your platform (Windows, Mac or Linux) and then run the following command:
To run the FEniCS Docker image, use the command fenicsproject run
. For more options and features, see fenicsproject help
.
Alternatively, you can start a container with the following docker
command:
2 4 | sudo add-apt-repository ppa:fenics-packages/fenics sudo apt-getinstall--no-install-recommends fenics |
For detailed instructions, see the FEniCS Reference Manual.
FEniCS on Anaconda
To use our prebuilt Anaconda Python packages (Linux and Mac only), first install Anaconda, then run following commands in your terminal: