Setting up the environment

If you already have anaconda/conda/miniconda/conda-forge, proceed to step 7.

• Step 1. Download conda installer.

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh

NOTE 1a: if this fails with "wget: command not found" install wget via "sudo apt install wget" (Ubuntu) or "brew install wget" (MacOS). Then try to do step 1 again.

NOTE 1b: alternatively, you can just follow the link above using your browser and download the file this way.

• Step 2. Install miniconda.

bash ~/miniconda.sh

• Step 3. Read and accept all licences.
• Step 4. When asked where to install conda, just press enter to install it in the default directory.
• Step 5. IMPORTANT: Then it will ask you "Do you wish the installer to initialize Miniconda3". Type "yes" and press enter.
• Step 6. IMPORTANT: Restart your terminal session – open and close your terminal window.

NOTE: If you don't want conda to start base envorinment in every terminal you open, you can execute `conda config --set auto_activate_base false`.

• Step 7. Create a new environment `nlp_class` with python 3.7.

conda create --name nlp_class python=3.7

NOTE: If you have `conda not found` error, it might mean you skipped step 5 and now need to add conda to your `PATH` manually. It it easy to do, here's [a solution](https://stackoverflow.com/questions/35246386/conda-command-not-found).

• Step 8. Activate this environment.

conda activate nlp_class

• Step 9. Install required libraries.

python -m pip install jupyterlab torch transformers datasets scikit-learn ipywidgets

• Step 10. Install a new kernel to a jupyter lab.

python -m ipykernel install --name nlp_class --user

• Step 11.Launch jupyter lab.

jupyter lab

This should open a browser tab with Jupyter Lab running.

• Step 12.On the right, you will see a couple of available notebook enviornments under "Notebook" title. Select "nlp_class" and create a new notebook.
• Step 13.Make sure all imports work. To do this execute the following code.

 
                    ```python
                    import torch
                    import sklearn
                    import transformers
                    import datasets
                    ```
                

this fails, ask TA for help.

you should be good to go. If you are wondering why we need conda and environments, you can read [this blogpost](https://realpython.com/python-virtual-environments-a-primer/).