When I try to update conda, I was told to execute conda update -n base conda, does this mean that the conda tool is installed in the base environment? Or the conda tool is installed out of any environment? Answer Yes. On all typical1 distributions it is always installed in the base environment.2 One can check all environments with the
Tag: conda
“[lib] requires [dep], which is not installed” when running PR tests on conda-forge feedstock, despite explicit call in grayskull-generated meta.yaml
I’m trying to upgrade the conda-forge version of xagg to the latest version (v0.3.0). The built-in Azure Pipelines tests that run when I set up a PR of the feedstock into the conda-forge repository however fail, with the error: (the full log is here) The odd thing is that pytables is explicitly mentioned in the meta.yaml (which was generated through
Upgrading pip to latest version using pip in conda using environment.yaml
I am trying to create an environment using environment.yaml, and for some reason the default pip installed in my environment by conda takes a long time to process the dependencies. For this reason, I am trying to somehow upgrade the pip version in the conda envrionment file. The pip version that comes with this installation is pip 21.2.2 . I
Packaging executable, shared library, and Python bindings not finding library
I have a project, cloudgen, that I would like to add bindings for Python so I can access some of the underlying functions. I have stubbed out the initial work on a branch. Because the main executable is built with cmake, I decided to use scikit-build to manage the build and use pybind11 to deal with the binding (following this
conda prefix (-p) still create a .conda directory on home
I’m using conda prefix to specify the directory to create my conda environment since my home directory has a small storage quota. But I noticed that conda still creating a .conda directory in my home directory which is quite large. I’m running the following command. The .conda dir in my home directory has: environments.txt file with the symbolic link to
No Spyder-Terminal on Spyder 5.0.5 (MacOS)
I tried to install spyder terminal on my spyder. Steps oI followed (in iPython Console): Then: And I get an error message that says: I thought that it was because of the enviroment, so I tried to create a new conda enviroment with the spyder terminal module. I do as follows (in my terminal): Then: And finally: And I get
No module named pandas in conda command prompt
I’m trying to run a script made on spyder that runs with no problem. But when I try to run the same script it says Pandas is not installed. But I checked on my conda env e seems to be already installed. Why this happens? Answer Problem You are using pip python’s default package manager to install a package in
cannot import name ‘delayed’ from ‘sklearn.utils.fixes’
How should the cannot import name ‘delayed’ from ‘sklearn.utils.fixes be solved? I have already updated sklearn and upgraded conda as well. Answer After the installation via pip install delayed and then restarting the kernel, the problem was solved.
Snakemake – How to set conda environment path
In Snakemake, conda environments can be easily set up by defining rules as such conda: “envs/my_environment.yaml”. This way, YAML files specify which packages to install prior to running the pipeline. Some software requires a path to third-party-software, to execute specific commands. An example of this is when generating a reference index with RSEM (example from GitHub page DeweyLab – RSEM):
Using conda build to build win32 and win64 packages in 1 go
My pure python scripts are 32 bits or 64 bits agnostic but my dependencies are not. I want to use cython to speed up some functions making the package not pure python. And I want to use them on windows with python 32 bits or 64 bits. Is there a way to build with 1 conda recipe a conda python