A guide to benchmarking language models using a Jupyter Notebook that supports any OpenAI-compatible API, including Ollama and Foundry Local.
Learn how to accurately calculate token counts for strings using language models with a provided Jupyter Notebook tool.
Analyzing conference session ratings using DuckDB and Jupyter Notebooks to demonstrate data wrangling and SQL on raw CSV data.
A tutorial on deploying a GPU-accelerated TensorFlow Jupyter Notebook on Google Kubernetes Engine (GKE) Autopilot.
A guide to using Python's Altair library for data visualization, comparing it to tools like Tableau, and showing setup and examples.
An overview of Google Colab, a free cloud-based Jupyter notebook service with GPU/TPU access for machine learning and data science.
A developer shares progress from the first week of an F# mentorship, covering a full-stack web project and machine learning experiments for March Madness predictions.
A satirical look at AI development and government funding, imagining a fictional 'Ministry of Silly Models' in the UK.
Learn how to load Excel files using Python and Pandas with examples for local files and URLs.
A tutorial on loading Excel files with Python and Pandas from local directories and URLs.
Learn how to load a CSV file using Python and Pandas from local directories and URLs with practical examples.
Analysis of PHP's limitations for machine learning, focusing on visualization, Jupyter support, and GPU capabilities compared to Python.
A guide to installing Python packages in Jupyter Notebooks, explaining common issues with pip and conda, and how to ensure packages are available.
A tutorial on analyzing Seattle's Pronto CycleShare data using Python, Pandas, and the PyData stack for data science.
