Stefanie Molin

Hands-On-Data-Analysis-with-Pandas-2nd-edition. Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

pandas-workshop. An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.

Hands-On-Data-Analysis-with-Pandas. Materials for following along with Hands-On Data Analysis with Pandas.

stock-analysis. Simple to use interfaces for basic technical analysis of stocks.

python-data-viz-workshop. A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.

data-morph. Morph an input dataset of 2D points into select shapes, while preserving the summary statistics to a given number of decimal points through simulated annealing. It is intended to be used as a teaching tool to illustrate the importance of data visualization.

exif-stripper. An easy-to-use tool to ensure image metadata (EXIF) is removed.

pre-commit-workshop. "(Pre-)Commit to Better Code" workshop

login-attempt-simulator. Simulation of regular login activity on a site and random activity from a hacker using a brute-force password guessing attack.

ml-utils. Machine learning utility functions and classes.

docstringify. Flag missing docstrings and, optionally, generate them from signatures and type annotations.

airline-market-share-analysis. Blog post for OpenDataScience.com showing how to create a pivot table and stacked bar visualization of airline market share.

SCOPE-Anomaly-Detection-Case-Study. Case study on rules-based and machine learning models for anomaly detection used in SCOPE alerts.

Metis. Metis Web App built using Flask to collect opinions from users on KPI evolutions to use in Machine Learning Anomaly Detection methods.

website. Repository for the EuroPython 2022+ website.

seaborn. Statistical data visualization in Python

Custom-Colormaps. Utility functions for working with colors in Python.

matplotlib. matplotlib: plotting with Python

binder-environments. Central location for binder environments, especially those used with my book, Hands-On Data Analysis with Pandas.

getting-started-with-open-source-talk. Slides for my talk "Getting Started with Open Source Contributions"

eda-polars-way. Tutorial: Exploratory Data Analysis, the Polars Way

stefmolin. Go Template

python-package-guide. scientific Python package recommendations & guidance curated by pyOpenSci

data-morph-talk. Slides for my talk "Data Morph: A Cautionary Tale of Summary Statistics"

sqlalchemy. The Database Toolkit for Python

filename-validation. Pre-commit hooks for validating filenames.

R-training-program. This is the custom R training program I developed to teach fellow analysts using company data. All sensitive data has been removed.

stefmolin.github.io. My personal website (stefaniemolin.com).

pre-commit-example. Example repository for article on setting up pre-commit hooks.

SCOPE-anomaly-detection-emails. SCOPE Anomaly Detection System -- Sends daily emails with curated alerts to people who can investigate further.

pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

CourtCounter. CourtCounter app from the Udacity Android Basics: User Input course (prerequisite for Grow with Google Android Developer Scholarship phase 1)

Bulls-and-Cows. Bulls and Cows command line game for guessing a number.

DidYouFeelIt. DidYouFeelIt? App from the Udacity Android Basics: Networking course (prerequisite for Grow with Google Android Developer Scholarship phase 1)