Building Data Science Solutions With Anaconda |top| -

conda env list

conda search pandas (e.g., conda-forge, which often has newer packages): building data science solutions with anaconda

conda install tensorflow-gpu cudatoolkit cudnn # TensorFlow conda install pytorch torchvision torchaudio cudatoolkit=11.7 -c pytorch # PyTorch conda env export > environment.yml This YAML file can be shared or version-controlled. A collaborator recreates the exact environment with: conda env list conda search pandas (e

❌ → python=3 may pull 3.12 unexpectedly. Always specify minor version: python=3.10 . building data science solutions with anaconda

conda env create -f environment.yml One of Conda’s killer features is handling Python itself as a package. You can have one environment with Python 3.8 (legacy code) and another with 3.11 (newer features).