blog – Tyler Hillery

Blog

AI Amplifies

Much of the hype about AI tools for programming often comes from two ends of a spectrum, those who don’t know programming and those who already have deep expertise.

Tyler Tries Web Development

To learn web development I built PyPack Trends, a web app to compare package downloads. Here is what I learned

How PyPack Trends Cost Effectively Queries 440TB of PyPI Data

Learn how PyPack Trends tackled the challenge of querying 440TB of PyPI data without breaking the bank.

CI/CD For Your $5 VPS

My experience developing a CI/CD pipeline for my $5 VPS

Shifting Left

How I have been slowly shifting my career “Left”

Immerse Yourself

Discover how immersing yourself in your domain can accelerate your learning and lead to opportunities.

Tyler Tries to Automate Testing

Join me in this installment of “Tyler Tries” where I learn to automate testing which enforces pre-commit hooks, runs pytest and displays test passing and code coverage percentage badges in the project’s README file.

Tyler Tries Publishing a Python Package to PyPI

My experience developing a python package and publishing it to PyPI.

Tyler Tries Real-Time Data

My experience building a real-time data pipeline to visualize Coinbase order book depth, highlighting the seamless integration of Redpanda, Materialize, dbt, and Streamlit.

Building a Local (Data) Lakehouse - Part 1: The Blueprint

Local (Data) Lakehouse is a personal sandbox environment to quickly spin up various tools for me to explore new ideas and learn.

Why and How I Made My First Open Source Contribution

My experience on why and how I made my first open source contribution and why you should too.

Make a Public Commitment to Learn

Making your learning public can help you stick to your goals. Find ways to communicate to others what your learning about. That is why I built the learning log.

Stock Market Data Pipeline

I wrote about my experience on setting up a data pipeline to help extract, ingest, store, transform and visualize stock market data using open source technologies such as Airbyte, Dagster, dbt & Preset.