hanifa2102

https://k0nze.dev/posts/install-pyenv-venv-vscode/

pyenv update
pyenv install <3.11.5> 

pyenv local 3.11.5
python -m venv .venv
.\.venv\Scripts\activate

hanifa2102

pip uninstall jupyter -y
pip uninstall jupyter_core -y
pip uninstall jupyter-client -y
pip uninstall jupyter-console -y
pip uninstall jupyterlab_pygments -y
pip uninstall notebook -y
pip uninstall qtconsole -y
pip uninstall nbconvert -y
pip uninstall nbformat -y

hanifa2102

# Track which python to use for diff projs
pyenv install -l
pyenv install <python-version>

#Local (for folder specific) or Global Python
pyenv local 3.10.6
pyenv global 3.7.1 

# Track which pip packages for diff projs
python -m venv .venv

hanifa2102

# Create Branch
git checkout -b john_branch

# Push local branch to github
git push --set-upstream origin john_branch

# Update Local Branch to Master
git checkout master
git pull
git checkout john_branch

hanifa2102

1.Download the Senzing API to the /opt/senzing/g2 OR
1.Get the docker file(Preferred for further setup of senzing projects)
--------------------------------------------------------------------------------------
https://github.com/Senzing/knowledge-base/blob/master/HOWTO/create-senzing-dir.md#using-docker
export SENZING_DIR=/opt/senzing
export SENZING_SUBCOMMAND=install
export SENZING_DOCKER_TAG=1.9.19155
sudo mkdir -p ${SENZING_DIR}
docker pull store/senzing/senzing-package:1.9.19155
sudo docker run \

hanifa2102

- Create Spark Context to connect to Spark Cluster
- Have a spark session (use Static method to retrieve it)

hanifa2102

# For Windows users# Note: <> denotes changes to be made

#Create a conda environment
conda create --name <environment-name> python=<version:2.7/3.5>

#To create a requirements.txt file:
conda list #Gives you list of packages used for the environment

conda list -e > requirements.txt #Save all the info about packages to your folder