FollowEqualizer

Sat, 14 Sep 2024 00:00:00 +0000

FollowEqualizer is a GitHub management tool with a desktop GUI. It helps you tidy up who you follow and what you have starred without clicking through the GitHub website one profile at a time.

Features

Find non-followers (accounts you follow that don’t follow you back) and unfollow them in bulk.
Follow back users who follow you.
Find and unstar repositories and starred topics.
Exceptions list to protect specific users or repositories from any action.
Comma-separated search that highlights matches across every list.
Multithreaded operations keep the interface responsive during long-running API calls, and a cache speeds up repeated operations.

What it demonstrates

Building a responsive desktop application in PyQt5, working with a paginated REST API and rate limits, and using worker threads to keep a GUI responsive.

Universal EDA

Sat, 15 Apr 2023 00:00:00 +0000

Universal-EDA provides an easy-to-use interface for exploratory data analysis (EDA) and data loading so that the first hour with a new dataset is spent looking at the data rather than writing boilerplate.

Background

The project started while updating an older linear regression project and discovering that the Boston Housing dataset had been removed from newer versions of scikit-learn. Universal-EDA keeps classic teaching datasets available and wraps the repetitive first steps of any analysis.

Features

DataExplorer: summary statistics, missing-value reports, and quick visualizations for any DataFrame.
DataLoader: loads common datasets from scikit-learn and converts DataFrames to CSV files.

from src import DataExplorer, DataLoader

df = DataLoader().load_toy_dataset('boston')
DataExplorer(df).basic_info()

What it demonstrates

Packaging reusable analysis code into clean classes, and designing small APIs that make day-to-day data work faster.

Python | Scott Miner

FollowEqualizer

Features

What it demonstrates

Universal EDA

Background

Features

What it demonstrates