moonlitaltar/cs340noavx repository overview

⁠Open Terminal

⁠Get Container:

docker pull moonlitaltar/cs340noavx:latest

⁠Run Container:

Change "container_name" to whatever you'd like the container to be called

docker run -d -p 27017:27017 --name container_name moonlitaltar/cs340noavx

⁠Run Commands

docker exec -it container_name bash

⁠Add user

Create a user using your SNHU handle for assignments.

su -
useradd -m -s /bin/bash yourname_snhu
passwd yourname_snhu
su - yourname_snhu

⁠The datasets for CS340 are on the image and located at /usr/local/datasets

⁠Add MongoDB environment file to bash

echo 'source /usr/local/datasets/mongodb-env.txt' >> ~/.bashrc
echo 'alias mongo="mongo --shell --eval \"var mongo_user='\''$MONGO_USER'\''; var mongo_password='\''$MONGO_PASS'\''; var mongo_host='\''$MONGO_HOST'\''; var mongo_port='\''$MONGO_PORT'\'';\""' >> ~/.bashrc

⁠Copy mongorc.js file to home folder

cd /usr/local/datasets
cp mongorc.js ~/.mongorc.js
source ~/.bashrc

⁠Connect to mongo shell

mongo

⁠Change root user password in MongoDB

db.changeUserPassword("root", "NewPasswordHere")
exit
exit - # This returns to root user

⁠Edit MongoDB environment file

cd /usr/local/datasets
nano mongodb-env.txt

Change the password for MONGO_PASS from "password" to what you put in for "NewPasswordHere", use Ctrl+S to save, then Ctrl+X to exit.

⁠Change User and Test Connection

su - yourname_snhu
mongo

⁠If it connects without errors and starts you in the admin database, that means everything is setup correctly.

⁠Install Jupyter - (You must have Python Installed with pip before continuing)

• Either exit the container or open a new terminal. Run the following:

pip install pymongo notebook jupyter-dash dash-leaflet==0.1.9 dash==2.8.1 pandas==1.4.2 matplotlib

⁠When you get to module 4

⁠If you get errors in visual studio code about pymongo, make sure you're python interpreter path is correct, it should look something like this:

C:\Users\yournamehere\AppData\Local\Programs\Python\Python312\python.exe

⁠To Start Jupyter Notebook

• Open your terminal and navigate to the folder where your python file is located

jupyter notebook

• Your browser should automatically open jupyter notebook and you can proceed to making scripts