8 Prepare programming environment
8.1 Create environment: ds
- Run
sudo su, that will open a shell as the superuser and activates the Miniconda base environment:
sudo suWe install some modules in a new Miniconda environment. We call this new environment
ds(for data science).Copy this code and run it in your terminal:
conda create -n ds python=3.10 pandas jupyter altair scikit-learn- Restart VS Code to be able to use this environment in VS Code`s Jupyter Notebook
8.2 Create environment: transformers
- Run
sudo su:
sudo su- We install some modules in a new Miniconda environment. We call this new environment
transformers:
conda create -n transformers python=3.10 pip --y- Activate the new environment:
conda activate transformers- Upgrade pip
pip install --upgrade pip- Install the transformers library including PyTorch with pip:
pip install 'transformers[torch]' ipykernel… this may take a while.
- Restart VS Code to be able to use this environment in VS Code`s Jupyter Notebook
8.3 Create environment: de
- Run
sudo su, that will open a shell as the superuser and activates the Miniconda base environment:
sudo suWe install some modules in a new Miniconda environment. We call this new environment
milvus.Copy this code and run it in your terminal:
conda create -n milvus python=3.10 pip- Activate the new environment:
conda activate milvus- Install some packages with pip:
pip install numpy jupyter pymilvus- Restart VS Code to be able to use this environment in VS Code`s Jupyter Notebook