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Specific package version with conda-forge. Ask Question Asked 1 year, 8 months ago. Active 3 months ago. Viewed 3k times 6. 0. I am trying to install a specific Keras version from Keras 1 API using conda-forge, because $ conda search keras. returns only. conda search get_version --channel conda-forge About conda-forge. conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. conda relies a fair bit on linux to do the lookup for an executable, stepping away from that would break a lot of things. Now, if I would create an environment as I've done in my, reasonably clean, linux machine, I would be able to run an ipython console with python 3.3 simply by running the command "ipython". conda-forge-repodata-patches conda-gitenv conda-merge conda-mirror conda-pack. get_version gettext gevent gevent-websocket geventhttpclient gf2x gfal2 gfan. We use conda-forge as an example channel. Conda-forge is a community channel made up of thousands of contributors. Conda-forge itself is analogous to PyPI but with a unified, automated build infrastructure and more peer review of recipes.

I expected conda to lower the problems with mixing python versions when distribution an application using Boost.Python, but reading e.g. 1 it seems that even here it is always a topic. In particular I'm trying to make a package which de. If the package is unavailable through conda, try finding and installing it with conda-forge. If you still cannot install the package, you can try installing it with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility but conda. I'd like to update Keras to version 2.3.0 with conda. Currently, I've got Keras 2.2.4 running. First, I tried conda update keras which didn't work. Then I tried conda install -c conda-forge k. Conda init¶ Earlier versions of conda introduced scripts to make activation behavior uniform across operating systems. Conda 4.4 allowed conda activate myenv. Conda 4.6 added extensive initialization support so that conda works more quickly and less disruptively on a wide variety of shells bash, zsh, csh, fish, xonsh, and more. I have had countless problems with installing opencv with conda This is my approach, create an env if you don't already have one. conda create -n py36 python=3.6 conda activate py36 Install opencv with pip NOT conda. pip install opencv-python. If your still having an issue, uninstall opencv, update ffmpeg. conda install -c conda-forge ffmpeg.

Installing conda packages. Installing specific versions of conda packages ¶ Include the desired version number or its prefix after the package name: conda install package-name = 2.3. 4. To specify only a major version, run: conda install package-name = 2. These commands install into the environment that is currently active. To install into a named environment, run: conda install package. conda create -n opencv_py3 -c conda-forge python opencv xarray cartopy ipython matplotlib pandas fiona descartes x264=20131218 I changed the x264 to be unpinned, so that conda 4.7.2 can use its smaller package collection of only the latest versions. Current Behavior conda 4.5.11 conda install pyproj is installing outdated package versions of pyproj and proj4 even when newer versions are available from the same channel. I have encountered this also during installation of other pack. Conda-Forge is an effort to provide an automated path for releasing open-source projects to the public, in the context of the Conda package manager ecosystem. From now on, Intake is available on Conda-Forge, and the recommended installation command is: conda install -c conda-forge.

Anaconda in version 5.0 changed to a unified and modern compiler stack, and Conda-Forge spent months converting all of the packages from the old, diverse compilers to the single compiler stack. ROOT's Linux packages were available on the day this project was completed. Miniconda is a free minimal installer for conda. It is a small, bootstrap version of Anaconda that includes only conda, Python, the packages they depend on, and a small number of other useful packages, including pip, zlib and a few others. Use the conda install command to install 720 additional conda packages from the Anaconda repository.

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