Command Log: June 27, 2024, 12:53 pm

clear
module list
module purge
module list
module load anaconda
module list
conda --version
cd $WORK
pwd
mkdir introduction-to-conda-for-data-scientists
ls
clear
ls
cd introduction-to-conda-for-data-scientists/
conda list
clear
clear
clear
conda create --name python3-env python=3.12
conda search scikit-learn
conda search 'scikit-learn>1.4'
clear
conda create --name basic-scipy-env ipython=8.14 matplotlib-base=3.7 numpy=1.25 scipy=1.11
clear
mamba create --name basic-scipy-env ipython=8.14 matplotlib-base=3.7 numpy=1.25 scipy=1.11
conda activate basic-scipy-env
which python
python
conda deactivate
which python
clear
mamba create --name machine-learning-env python=3.12 ipython matplotlib-base pandas numba scikit-learn
clear
conda activate basic-scipy-env
conda install numba
conda install --help
clear
conda deactivate
conda activate machine-learning-env
mamba install --freeze-installed dask=2024
mamba install --freeze-installed python=2.7
conda deactivat
conda deactivate
clear
mamba install --name machine-learnin-env dask=2024
mamba install --name machine-learning-env dask=2024
mamba install --name machine-learning-env dask=2024
ls -la $HOME/.conda
ls -la $HOME/.conda/envs/
mamba create --prefix $COMMON/env python=3.12
clear
conda activate env
conda activate $COMMON/env
mamba create --prefix ./env python=3.12 pandas
conda deactivate
conda activate ./env
conda deactivate
conda config --set env_prompt '({name})'
conda activate ./env
conda deactivate
mamba create --name my-r-env r-base=4.2 r-tidyverse r-sparklyr 
conda activate my-r-env
Rscript --version
which R
R
conda list --name my-r-env
conda list --prefix $COMMON/env
clear
ls -la $HOME/.conda/envs
conda remove --name basic-scipy-env --all
ls -la $HOME/.conda/envs
conda info --envs
clear
conda deactivate
clear
conda search gnuplot
conda search qiime2
mamba search cuda
clear
conda info --envs
conda activate machine-learning-env
conda env export --name machine-learning
clear
conda env export --name machine-learning-env
conda env export --name machine-learning-env --file environment.yml
more environment.yml 
pwd
ls
conda env export --name machine-learning-env --file $COMMON/environment.yml
ls $COMMON
conda deactivate
ls
mkdir env-test
cd env-test/
pwd
vim environment.yml
clear
ls
more environment.yml 
conda env create --file environment.yml 
clear
conda activate machine-learning-env
mamba install ipykernel
python -m ipykernel install --user --name "$CONDA_DEFAULT_ENV" --display-name "Python ($CONDA_DEFAULT_ENV)" --env PATH $PATH
more /home/demo/hccdemo/.local/share/jupyter/kernels/machine-learning-env/kernel.json