python -m venv venv
source venv/bin/activateThis should activate a private version of python 3.11. You can check it with
which pythonThat should show the path to venv/bin/python.
By using an virtual environment you isolate this installation from the python
installation on your machine and stuff you might have installed as a --user.
Every time you want to run this code you need to activate it with:
source venv/bin/activateAnd when you want to use your regular python setup, just run:
source venv/bin/deactivatepip install jupyterlab
pip install notebook
python -m ipykernel install --user --name=venvpip install psycopg2
pip install scikit-learn
pip install numpy
pip install matplotlib
pip install pandas
pip install torch
pip install torchvisionBeware that the torch package is several GBytes!
cd postgresql
docker-compose start
./do_load.sh
Password: postgres
...
Password: postgresThe script will prompt you twice for the password and just enter postgres.
tar -xzf MNIST.tgzjupyter notebookIn the main tab just double-click on any of the .ipynb files on the list to open a new tab
with that notebook. A tutorial on Jupyter Notebook can be found at Jupiter Notebook Tutorial
Remember to activate your virtual environment with source venv/bin/deactivate if not already
activated.
pip install spacy
python -m spacy download en_core_web_trfThe download is about 500 MB. A much smaller model is en_core_web_sm.
If Jupyter Notebook is not already running, start it again and work on the SpaCy.ipynb.
Install graphviz and scikit-learn-tree packages into the virtual environment and
run python decision_tree.py to create a decision tree for the Titanic dataset.
In the input file titanic_2.csv Sex=1 means male and 0 female.
The python script creates Titanic.pdf. In the values vector, the first element is how
many died and the second how many survived. The graph has True condition to the left
and False to the right. The root node is a decision on sex, so women are on the left
side (Sex <= 0.5) and men on the right.