I installed tensorflow 2 on my mac using conda according these instructions: conda create -n tf2 tensorflow Then I installed ipykernel to add this new enviro
I read that the prefix line in the environment.yaml file is not used by conda env create. Two of the posts on SO pointing to this fact are: export conda envir
A dependency conflict in conda environment seems to cause the environment to be in a state of self-conflict and it is unable to find any useful fix. I've tried
I have a git repo (repo1) that I installed into my conda environment (env1) as follows: conda activate env1 cd /path/to/repo1 pip install -e . If I move repo1
Typically one runs jupyter notebook or jupyter-notebook or ipython notebook in a terminal to start a Jupyter notebook webserver locally (and open the URL in the
I have been having a problem with my Spyder distribution since I attempted to install a new package (scikit-image): After attempting to install it, initially my
gonzo ~/a/packages conda env list # conda environments: # ppo_latest /nohome/jaan/abhishek/anaconda3/envs/ppo_latest root
When using Anaconda and VSCode on Windows 10, the VSCode debugger correctly activates the environment when I run/debug. But when I use the test module, it fails
My pip version is 22.0.4. I had the most recent version but had to downgrad because I noticed the same error mentioned here: https://github.com/jazzband/pip-too
I installed Conda using the scripts from bootstrap-conda.sh and install-conda-env.sh Conda was installed successfully. When I install the first package, e.g.
I've been trying to deploy a Heroku app and I was running into a lot of issues that I believe have to do with the virtual environment I was working in. I create
I tried to update or install new packages from anaconda and lately, this message has appeared: The environment is inconsistent, please check the package plan c
Essentially, trying to write the following code results in the error below: Code from matplotlib import pyplot as plt plt.plot([1,2,3,2,1]) plt.show() Error li
I am aware that conda's meta.yaml file uses jinja templating, which allows us to pass values to it via environment variables. For example like this: package:
I'm trying to install httpcore v0.14.7 inside miniconda 3.8 . httpcore v0.14.7 is only available on conda-forge, rather than the anaconda main repo. Unfortunate
I am creating conda environment using following code conda create --prefix r_venv_conda r=3.3 r-essentials r-base --y Then I am activating this env by fol
I have a conda env that I build from a requirements.yml file that I obtained from a classmate so we could work on a project together. I tried installing matplot
I'm trying to install geoplot package for a few hours now but I can't understand why I can't do it. I saw several links in here just saying "only use conda and
I installed Anaconda (with Python 2.7), and installed Tensorflow in an environment called tensorflow. I can import Tensorflow successfully in that environment.
I have a conda environment that I would like to convert to a poetry environment. What I have tried is to translate the environment.yaml of the conda environment