white8785 / codelouisvillepython2022

Data Development Pathway with Python and SQL

This is an example project for the Code Louisville Python Data Development Course.

My Project

Using Google's BigQuery DataSet from the Ethereum blockchain this package will evaluate the top 10 most popular collectibles (ERC-721 contracts), by number of transactions. Each project will receive a ranking of confidence, so folks can have helpful data when evaluating projects.

Requirements

• a working Python environment using Python 3.9.6 or newer

Instructions

1. Pull the code down: git clone [email protected]:white8785/codelouisvillepython2022.git
2. Enter project folder: cd codelouisvillepython2022
3. Install required Python packages: pip install -r requirements
4. Execute: python ./src/main.py

Expectation

(WIP) - Data will be pulled from BigQuery, the Ethereum Blockchain will be inspected, and a chart for visualization will be displayed.

Below the bar: {'address': '0x06012c8cf97bead5deae237070f9587f8e7a266d', 'tx_count': '4895135', 'rank': 1}
Above the bar: {'address': '0x06a6a7af298129e3a2ab396c9c06f91d3c54aba8', 'tx_count': '646168', 'rank': 5}
Above the bar: {'address': '0xd73be539d6b2076bab83ca6ba62dfe189abc6bbe', 'tx_count': '442927', 'rank': 3}
Above the bar: {'address': '0x1a94fce7ef36bc90959e206ba569a12afbc91ca1', 'tx_count': '180701', 'rank': 3}
Above the bar: {'address': '0xf5b0a3efb8e8e4c201e2a935f110eaaf3ffecb8d', 'tx_count': '147728', 'rank': 3}
Above the bar: {'address': '0x7fdcd2a1e52f10c28cb7732f46393e297ecadda1', 'tx_count': '119608', 'rank': 4}
Above the bar: {'address': '0x8c9b261faef3b3c2e64ab5e58e04615f8c788099', 'tx_count': '108286', 'rank': 4}
Below the bar: {'address': '0x2a46f2ffd99e19a89476e2f62270e0a35bbf0756', 'tx_count': '101077', 'rank': 2}
Above the bar: {'address': '0xf915bbfbb6c097dc327e64eec55e9ef4d110d627', 'tx_count': '78763', 'rank': 4}
Below the bar: {'address': '0xd2f81cd7a20d60c0d558496c7169a20968389b40', 'tx_count': '60858', 'rank': 2}

Features Implemented

1. Create a dictionary or list, populate it with several values, retrieve at least one value, and use it in your program.
2. Create a class, then create at least one object of that class and populate it with data. The value of at least one object must be used somewhere in your code.
3. Visualize data in a graph, chart, or other visual represenation of data.

Core Python Documentation References

• Setting up a proper Python package: https://packaging.python.org/tutorials/packaging-projects/
• python.org
• PEP8