- Maths
- Classifying data with Python
- Calculating covariance matrices with Python
- Learning about data science
- Reconstructing a point set from a Euclidean Distance Matrix
- A review of Matrix Methods in Data Analysis
- Numerical Linear Algebra Cookbook
- Linear Algebra for Data Science Cookbook
- Uncertainty analysis literature review
- Data Science
- Classifying data with Python
- How to reduce the memory used by Pandas DataFrames
- Best Python packages for MVP development
- Learning about data science
- A review of Matrix Methods in Data Analysis
- Numerical Linear Algebra Cookbook
- Linear Algebra for Data Science Cookbook
- Uncertainty analysis literature review
- Software
- Books
- Python
- Quickly checking Python dependencies
- LLMs on the command line
- How to Upsert DataFrames into Postgres safely.
- Classifying data with Python
- Calculating covariance matrices with Python
- How to reduce the memory used by Pandas DataFrames
- Best Python packages for MVP development
- Reconstructing a point set from a Euclidean Distance Matrix
- Postgres
- SQL
- Pandas
- Emacs
- org-mode
- Terraform
- DevOps
- Ansible
- Jekyll
- Nginx
- Javascript
- Digital Ocean
- GitHub
- Scala
- Metaprogramming
- scalameta
- scalafmt
- GitHub Actions
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- Annotated Snippet
- TensorFlow
- Onnx
- MLOps
- Java
- Learning
- Sailing
- Solent
- LLMs
- OpenAI
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- Llama3.1
- ChatGPT
- Llama
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- Kubernetes
- GoatCounter
- Next.js
- uv