CSE578 Data Visualization Final Project
This repository includes the codebase for final project.
(Option 1) Docker Container
The docker installation gives you a clean containerized Ubuntu 20.04 environment which you can run on Mac OS or any Unix based kernel.
- Install Docker in your system if not already installed.
- Clone this repository and
cd CSE578Project
. - Buid the docker image :
make build
. - Launch and enter the docker container:
make run
. - You are now inside a Ubuntu 20.04 Bash Shell with
$PWD: /home/CSE578
.ls
to check files and folders. - To launch a Jupyter Notebook, run
jupyter notebook --ip 0.0.0.0 --no-browser --allow-root
. - Copy the localhost link and paste in your browser. Have Fun!!!
Note: to add any other supporting libraries, append the library name in the requirements.txt
and repeat the above steps.
(Option 2) Anaconda
-
Install Anaconda.
-
Create python3.9 virtual environment
conda create -n cse578 python=3.9
-
now activate env
conda activate cse578
-
-
Clone this repository and
cd CSE578Project
. -
Install all the requirements
pip install -r requirements.txt
(Option 3) virtualenv
-
Install virtualenv
pip install virtualenv
-
Create a virtual environment
virtualenv my_env_name
-
now activate env
source my_env_name/bin/activate
-
-
Clone this repository and
cd CSE578Project
. -
Install all the requirements
pip install -r requirements.txt