Installation with conda and activation of environment should automatically set up two environment variables ISCE_HOME : This reflects the path in site-packages folder where isce is installed ISCE_STACK: This reflects the path where the stack processors are installed
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conda install -c conda-forge git-annex Note that this installation method does not need root permissions. If there are package conflicts between git-annex's dependencies and packages already installed in the environment, conda may fall back on installing the standalone git-annex distribution.

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  • Installing miniconda on Linux can be a bit tricky the first time you do it completely from the terminal. The following snippet will create a directory to install miniconda into...
  • Conda¶. pykep is available via the conda package manager for Linux, OSX and Windows thanks to the infrastructure provided by conda-forge.In order to install pykep via conda, you just need to add conda-forge to the channels, and then you can immediately install pykep:

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Hi there. Thanks for developing this excellent tool. After re-imaging my machine I find that conda freezes at 'Solving package specifications' when re-installing mageck-vispr. Current conda install: platform : osx-64 conda version : 4.3.29 conda is private : False conda-env version : 4.3.29 conda-build version : not installed python version : requests version : 2.14.2 root ...

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Conda installs packages into environments efficiently using hard links by default when it is possible You can easily build your own packages for conda, and upload them to, a free service...

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- Create a conda environment named ten so rflow $ conda create -n tensorflow python=2.7- Activate the conda environment $ source activate tensorflow- To deactivate an active environment, use: (tensorflow) $ source deactivate - Install your libraries (tensorflow) $ conda install -c conda-forge librosa

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It is possible to install packages with pip into the conda environment, but it’s a best practice only install pip packages with the --no-deps option. This prevents pip from breaking the conda environment by installing incompatible versions of packages already installed with conda.

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Conda is a package, dependency, and environment management tool for Anaconda Python, which is widely used in the scientific community, especially on the Windows platform where the installation of...

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conda install ... done # Name Version Build Channel tensorflow 1.1.0 np112py35_0 pkgs/free tensorflow 1.1.0 np112py36_0 pkgs/free tensorflow ...

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To install this package with conda run one of the following: conda install -c conda-forge conda-build conda install -c conda-forge/label/broken conda-build conda install -c conda-forge/label/cf201901 conda-build conda install -c conda-forge/label/cf202003 conda-build conda install -c conda-forge/label/pulled conda-build

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When trying to run conda install pyproj (but this happens for any package name), I get this error: WARNING: The conda.compat module is deprecated and will be removed in a future release.

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