Required files:
- data/iris-dataset.csv - Iris flower CSV dataset
- iris-virutalization.ipynb - jupyter notebook with EDA
- Dockerfile - docker file with below scripts
FROM python:3.7.3-slim
WORKDIR /project
COPY . /project
RUN pip install pandas jupyter
EXPOSE 8888
CMD ["jupyter","notebook","--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root"]
Open command prompt under this folder and below scripts to build image and run container respectively:
docker build -t docker-jupyter .
docker container run -p 8888:8888 docker-jupyter
Copy the provided jupyter URL with token to access http://127.0.0.1:8888/tree
Required files:
- calculate_primes.py - console application that can print first N primes
- Dockerfile - docker file with below scripts
FROM python:3.7.3-slim
WORKDIR /project
COPY . /project
RUN pip install tqdm
ENTRYPOINT ["python", "calculate_primes.py"]
Open command prompt under this folder and below scripts to build image and run container respectively:
docker build -t docker-consoleapp .
docker container run docker-consoleapp
The tqdm module doesnt work well from the output from docker but this example is to demonstrate how to install extra dependencies when setup docker
Required files:
- app.py - flask backend application that can get first N primes
- Dockerfile - docker file with below scripts
FROM python:3.7.3-slim
WORKDIR /project
COPY . /project
RUN pip install Flask
RUN pip install flask-cors
EXPOSE 5000
CMD ["python","app.py"]
Open command prompt under this folder and below scripts to build image and run container respectively:
docker build -t docker-restapi .
docker container run -p 5000:5000 docker-restapi
Use API client tool like Postman to call GET API http://127.0.0.1:5000/api/primes?N=1000 for first 1000 primes.