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Matthew Alhonte

Matthew Alhonte

Center of the Universe
Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.
Ergonomic Interface for Causal Inference

Making an Ergonomic Interface for Causal Inference (ft Claude Sonnet 4.6)

Leveraging Claude to create an ergonomic interface
Matthew Alhonte's Avatar
Matthew Alhonte matt
Apr 23, 2026 • 7 mins
Python
A Brief History of Pandas

A Brief History of Pandas

A nuclear test gone wrong, high finance, and some convenient code!
Matthew Alhonte's Avatar
Matthew Alhonte matt
Feb 17, 2020 • 5 mins
Pandas
Being REALLY Lazy With Multiple Aggregations in Pandas

Being REALLY Lazy With Multiple Aggregations in Pandas

Perform multiple aggregate functions simultaneously with Pandas 0.25
Matthew Alhonte's Avatar
Matthew Alhonte matt
Dec 9, 2019 • 3 mins
Code Snippet Corner
Splitting Columns With Pandas

Splitting Columns With Pandas

Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.
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Matthew Alhonte matt
Nov 19, 2019 • 7 mins
Code Snippet Corner
World's on Fire

World's on Fire

The rainforest is on fire. Here are things you can do about it.
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Matthew Alhonte matt
Aug 22, 2019
Recasting Low-Cardinality Columns as Categoricals

Recasting Low-Cardinality Columns as Categoricals

Downcast strings in Pandas to their proper data-types using HDF5.
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Matthew Alhonte matt
Jun 3, 2019 • 3 mins
Code Snippet Corner
Removing Duplicate Columns in Pandas

Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.
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Matthew Alhonte matt
May 28, 2019 • 3 mins
Code Snippet Corner
Downcast Numerical Data Types with Pandas

Downcast Numerical Data Types with Pandas

Using an Example Where We Downcast Numerical Columns.
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Matthew Alhonte matt
Jan 28, 2019 • 5 mins
Code Snippet Corner
Using Random Forests for Feature Selection with Categorical Features

Using Random Forests for Feature Selection with Categorical Features

Python helper functions for adding feature importance, and displaying them as a single variable.
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Matthew Alhonte matt
Sep 24, 2018 • 2 mins
Code Snippet Corner
Tuning Random Forests Hyperparameters: min_samples_leaf

Tuning Random Forests Hyperparameters: min_samples_leaf

Tune the min_samples_leaf parameter in for a Random Forests classifier in scikit-learn in Python
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Matthew Alhonte matt
Sep 17, 2018 • 4 mins
Code Snippet Corner
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Python Software DevOps Data Engineering Architecture Pandas Excel Data Analysis Data Science REST APIs SQL Code Snippet Corner JavaScript Flask AWS NodeJS Google Cloud MySQL Frontend Apache Data Vis BI NoSQL Spark ExpressJS PostgreSQL GraphQL ETL Pipelines Tableau SQLAlchemy Big Data GatsbyJS Powerpivot PowerBI Atlassian Automation Machine Learning JAMStack Mapbox Golang Scraping Data Warehouses Plotly Concurrency ReactJS Django Docker Hashicorp SaaS Products Java Frameworks FastAPI Terraform Microsoft LLMs

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Series'

Data Analysis with Pandas 11
Build Flask Apps 11
Google Cloud Architecture 6
Learning Apache Spark 6
Welcome to SQL 4
GraphQL Tutorials 4
Working with MySQL 4
Mastering SQLAlchemy 4
Mapping Data with Mapbox 3
Python Concurrency with Asyncio 2
Getting Started with Django 2
Web Scraping With Python 2
Hackers and Slackers

Community of hackers obsessed with data science, data engineering, and analysis. Openly pushing a pro-robot agenda.

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Authors

  • Todd Birchard
  • Matthew Alhonte
  • Max Mileaf
  • Ryan Rosado
  • Graham Beckley
  • David Aquino
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  • Dylan Castillo

Series'

  • Data Analysis with Pandas
  • Build Flask Apps
  • Google Cloud Architecture
  • Learning Apache Spark
  • Welcome to SQL
  • GraphQL Tutorials
  • Working with MySQL
  • Mastering SQLAlchemy
  • Mapping Data with Mapbox
  • Python Concurrency with Asyncio
  • Getting Started with Django
  • Web Scraping With Python
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