ferrotalking.blogg.se - Anaconda pyqt downgraded

Anaconda pyqt downgraded install#
Anaconda pyqt downgraded update#

conda-build/4096: "presence of channel_alias in.

conda/9961: Set channel priority in environment.yml.

conda/9642: "Allow Channel Overrides with Strict Channel Priority".

conda/9257: "conda envs: Reproducibility issues".

Anaconda pyqt downgraded update#

conda/3377: "channel_priority broken when doing update -all".conda/3150: "Channels not respected when channel_priority is false".For example, channel_priority in the following issues: ~/.condarc affect behavior with no easy way of isolating. Issue 9293: Fastest way to create a fully specified conda environment.

Anaconda pyqt downgraded install#

The main disadvantage of conda is that it can be very slow to install a new environment. In addition to python, conda is a full binary package manager able to install many tools and libraries beyond the python ecosystem. Instead, use one of the following strategies:Ĭonda: Provides an easy way of installing and activating independent python environments. In any case, do not use or update the version of python installed for use by the system: this is asking for problems. In both cases, one would like to be able to work in reproducible computing environments, possibly working with a variety of different python versions. Developers who need to test and distribute packages.There are two main domains of python packaging:

If you have such additional dependencies, then your best option is to create a clone: Unfortunately, this will not work with packages that need conda to install. This will be addressed below when we discuss poetry. You can list these with pip list or pip freeze, but these will not include those in the conda environment.

I don't have a good solution yet for making a completely reproducible environment file: conda list will not find packages installed in the venv.

If you activate a conda environment after activating the venv, things can get quite messed up. You should be careful to activate the venv only after any conda environment, or without any conda environments active.

It can be a little confusing having both conda and venv's active.

venv in which any new packages will be installed, but which will still have access to the packages in the work conda environment. This will create a local virtual environment in.