In this first exercise you will practice your Python skills, as well as learn about a very common task ... downloading data files from a HTTP source. You will have to unzip the files with Python as well.

1. Change directories at the command line to be inside the Exercise-1 folder cd Exercises/Exercise-1

2. Run docker build --tag=exercise-1 . to build the Docker image.

3. There is a file called main.py in the Exercise-1 directory, this is where you Python code to complete the exercise should go.

4. Once you have finished the project or want to test run your code, run the following command docker-compose up run from inside the Exercises/Exercise-1 directory

You need to download 10 files that are sitting at the following specified HTTP urls. You will use the Python package requests to do this work.

You will need to pull the filename from the download uri.

The files are zip files that will also need to be unzipped into their csv format.

They should be downloaded into a folder called downloads which does not exist currently inside the Exercise-1 folder. You should use Python to create the directory, do not do it manually.

Generally, your script should do the following ...

1. create the directory downloads if it doesn't exist

2. download the files one by one.

3. split out the filename from the uri, so the file keeps its original filename.

4. Each file is a zip, extract the csv from the zip and delete the zip file.

5. For extra credit, download the files in an async manner using the Python package aiohttp. Also try using ThreadPoolExecutor in Python to download the files. Also write unit tests to improve your skills.

1. Don't assume all the uri's are valid.
2. One approach would be the Python method split() to retrieve filename for uri, or maybe find the last occurrence of / and take the rest of the string.