1. Complete phase 1 specification in the icon moudle
2. Update or create a git respository to house your work in this classs. Setting up GIT tutorial
3. Once your git repo is setup, make an entry in the git repo tracker for python 2

1. Continue your icon project to a fully-baked state for week 3. Use git on the command line to make commits during your work sessions.
2. Take a stab at one or all of the warm-up exercises posted at the top of the dictionaries module.
3. [Optional] Clone down a peer's git repository from last week. Create a new branch from their primary work branch on which you can make adjustments without interfering with their workflow.
4. [Optional] Implement functionality to allow for display of an icon written to a text file. The program should ask the user for the name of the file (assuming it's in script's directory) AND the character used to represent no shading and the character used to represent shading.

1. Dowload the geojson file for the Pittsburg's capital projects on the WPRDC and make a good faith effort at the mini tasks 1,2,and 3 listed after the warm-up in the module page.

1. Create a .json file which encodes a search criteria for capital projects in Pittsburgh. Write python code which ingests that JSON file and uses it when iterating over the capital projects file, creating an output file featuring only projects that match your criteria.
2. Create a markdown file in your capital projects work folder that details how to use your JSON file to encode a search criteria. Include at least three different criteria in your search.
3. Push your changes to your own github repository

1. Study the supplies resources in the api module, familiarizing yourself with the API process by completing the in-class exercise with Donors Choose or NHTSA recalls
2. Find an API of your choosing using Api directory at Programmable Web related to a data domain of interest which returns results in JSON (or, if you're ambitious, XML). Secure an API key if needed, and make an initial call to your server to demonstrate a working skeleton in class next week.
3. When you have decided on an API, please make an entry in our tracker spreadsheet

Wrap-up API proj

1. Complete thorough documentation of your API project in readme.md files and push to git. Include screen shots of your output and links to any API resources you used along the way.

Prepare peer tutorials

Prepare your peer mini-lessons and reference sheets for next week

Attempt a rudimentary contiainerization and visualization of your API data for the 28th of October.

Tidy up and fully-bake API project for "formal" sharing next week before Scraping soup madness!

Practice DB inserts & selects

Choose a data source, either a CSV related to your project or from your API calls: create a table of appropriate column types, write inserts to store the data, and demonstrate that you can extract data with the cursor.extractall() function. Enjoy

Begin your final project

Make an entry in our master tracker spreadsheet