Andrew Fairless, Ph.D.
/About/Bio
/Projects
/Reposts
/Tags
/Categories
Entries tagged :: software engineering
.
2025-08-04
What I Read: Learning Agentic Patterns
2025-07-28
What I Read: Save Product
2025-07-02
What I Read: Generative AI
2025-07-01
What I Read: LLMOps, human
2025-06-05
What I Read: Distributed Systems Programming
2025-05-28
What I Read: BAML
2025-05-27
What I Read: BAML, agentic
2025-05-13
What I Read: history, tidyverse
2025-04-24
What I Read: AI HCI
2025-04-09
What I Read: Building agents
2025-04-02
What I Read: Implementing Raft
2025-03-20
What I Read: simulations, chaos testing
2025-03-13
What I Read: ship projects
2025-03-12
What I Read: Incremental Jobs, Data Quality
2025-03-04
What I Read: gpu computing
2025-02-27
What I Read: shape, matrix
2025-02-03
What I Read: uv, Python, production
2024-12-17
What I Watch: LLM agents, production
2024-12-10
What I Read: Future of Distributed Systems
2024-11-14
What I Read: Difference, Statements and Expressions
2024-10-29
What I Read: Generative AI Platform
2024-10-21
What I Read: LLM evaluation
2024-10-17
What I Read: Data Flywheels, LLM
2024-09-25
What I Read: bare metal to 70B
2024-09-19
What I Read: Structured Generation, LLMs
2024-09-18
What I Read: AI Engineers, Search
2024-09-16
What I Read: Musings on AI Engineering
2024-09-05
What I Read: notebooks, McDonalds of code
2024-08-27
What I Read: string ufuncs, NumPy 2.0
2024-08-22
What I Read: Cookiecutter Data Science V2
2024-08-06
What I Read: LLM, DSPy Assertions and Suggestions
2024-07-15
What I Read: LLMs, Open Source
2024-07-10
What I Read: anti-patterns, data reuse
2024-06-27
What I Read: Dont put notebooks into production
2024-06-20
What I Read: Structured Generation, Constrained Decoding
2024-06-05
What I Read: speed up code, Numba
2024-05-27
What I Read: Modals web infrastructure
2024-04-22
What I Read: Compound AI Systems
2024-04-18
What I Read: Scaling ChatGPT, Engineering Challenges
2024-04-11
What I Read: Every infrastructure decision I endorse, regret
2024-04-09
What I Read: Deploy Model
2024-02-26
What I Read: Type Checking
2024-02-08
What I Read: survey LLM tooling
2024-01-25
What I Read: SciPy builds for Python 3.12
2024-01-16
What I Read: vectorize wide PyTorch expressions
2024-01-15
What I Read: GPU Computing
2023-12-07
What I Read: LLM Apps, Data Pipelines
2023-09-20
Add Columns to Polars DataFrames Quickly
There are straightforward, slow ways to do things, and then there are faster ways. Know how to choose.
Read more ⟶
2023-09-05
What I Read: big storage system called S3
2023-09-04
Monitoring Data Pipelines: Airflow and Tcl/Tk
Airflow is terrific for scheduling and monitoring data pipeline components. But we also want to monitor in real-time what’s happening inside those components.
Read more ⟶
2023-08-28
What I Read: What we dont talk about
2023-08-15
What I Read: When NumPy slow
2023-08-01
What I Read: speed up Numba and NumPy
2023-07-29
How fast is Polars compared to Pandas?
Benchmarks are nice, but how fast are our favorite data tools on realistic data workflows?
Read more ⟶
2023-07-25
What I Read: Kubernetes, Batch
2023-07-06
What I Read: Scaling Up
2023-06-29
What I Read: Against LLM
2023-05-18
What I Read: MLOps, Data Engineering
2023-05-01
What I Read: Functional, Object Oriented Programming
2023-04-25
What I Read: Data science, cloud
2023-04-12
What I Read: Infrastructure
2023-01-18
What I learn: How, learn machine learning
2022-05-03
What I Read: Taxonomy of Tech Debt
2022-03-16
What I Watch: Engineering For Data
2022-03-09
What I Read: Real-time machine learning
2022-03-08
What I Read: Engineering Trade-Offs in Automatic Differentiation
2022-02-15
What I Read: Ways I Use Testing as a Data Scientist
2022-01-04
What I Read: AntiPatterns, MLOps
2021-12-08
What I Read: True Stories of Algorithmic Improvement
2021-10-27
What I Watch: Streaming Data Systems w/ Eric Sammer (Decodable)
2021-09-01
What I Read: Against SQL
2021-08-26
What I Read: The one data platform to rule them all
2021-08-06
What I Read: Abstraction, Data Science
2021-07-13
What I Read: How troubleshoot memory problems in Python
2021-06-23
What I Read: What I’ve learned about MLOps
2021-06-02
What I Watch: Avoid These Common Mistakes Junior Developers Make
2021-06-01
What I Watch: Continuous Integration vs Feature Branch Workflow
2021-05-19
What I Watch: Visualising software architecture, C4 model
2021-05-11
What I Read: Models of Data Science teams
2021-04-27
What I Read: Object-Oriented Programming Disaster
2021-04-15
What I Read: Unit testing best practices
2021-04-03
What I Watch: How to Debug Your Team
2021-03-30
What I Read: Kedro Pipelines with Airflow
2021-03-28
What I Read: 15 common coding mistakes data scientist make
2021-02-04
What I Read: Architectures for Modern Data Infrastructure
2021-01-17
What I Read: Data Scientists Should Be More End-to-End
