Elementary Python Data 1

Code Em Assignment - Middle Intermediate

Jupyter notebooks for basic lists, dictionaries and data fundamentals.

Setup

We covered setting up Jupyter Notebooks in your Cloud9 environments. You can reference this repo that reviews settings and setup for running a service on your Cloud9. The trick is to use your environment id (a hash code) in a url to access the notebook from your local browser.

Git Process

• Classroom creates a private repo for your assignment.
• Clone this repo in your Cloud9 environment. That is git clone <repo_name>.
• Do your work on the dev branch. That is git checkout dev in the Cloud9 console.
• You will be saving your notebook using Jupyter. Jupyter will create many additional autosave files. You only need to commit changes to the main notebook file.
• Commit and push to the dev branch as much as you want -- as much as needed.
• To submit your assignment will be to create a PR (Pull Request) in your repo. This will signal us that your assignment is ready for review.
• Use the slack channel if you have any issues or questions -- definitely seek help if you don't understand the PR process for submission.

Minimum Requirements

• Follow along the Data 1 notebook and add code as appropriate.
• There are 3 sections in the notebook where you should respond with working code or text.
• Your submitted assignment should include a notebook that has been with your additional code/solutions.

Additional Requirements (think extra credit)

• Move the code into a Python program file and create a separate program file tester (using unittest).

Rubric

Criteria	Superior (5)	Excellent (4)	OK (3)	Not OK (2)	Unsatisfactory (1)	Grade/Comments
Readability (50%)	The code is organized (modular) well documented, easy to read and follow.	The code is easy to read and well documented.	The code can be followed.	The code is not easily followed.	The code is a mess.
Specifications (40%)	The program works and meets all the requirements.	The program works and meets most of the requirements.	The program produces correct results but does not display/plot them correctly.	The program does not meet most of the requirements or fails to display or plot any.	Program does not work at all.
Efficiency (10%)	The code is highly efficient without affecting readability.	The code is reasonably efficient without affecting readability.	The code runs within a few seconds.	The code runs within a few minutes.	The code takes over an hour to run (or doesn't run at all).