GitHub Actions CI for Python after work: lint and test on every push
After-work guide to github actions CI python: a tiny workflow that fails loud before you merge. Educational only. Not investment advice.
Academy notes
Articles and updates from SoloQuant Academy.
After-work guide to github actions CI python: a tiny workflow that fails loud before you merge. Educational only. Not investment advice.
After-work guide to dvc data version control: version large data without stuffing binaries into git. Educational only. Not investment advice.
After-work guide to git for quant research workflow: research hygiene with branches and meaningful commits. Educational only. Not investment advice.
After-work guide to ray tune distributed training: Tune for parallel trials—start local before a cluster. Educational only. Not investment advice.
After-work guide to optuna hyperparameter tuning: define a search space and let trials compete honestly. Educational only. Not investment advice.
After-work guide to weights and biases wandb tutorial: cloud-friendly run comparison for evening experiments. Educational only. Not investment advice.
After-work guide to mlflow experiment tracking tutorial: log params/metrics so tonight's run is findable tomorrow. Educational only. Not investment advice.
After-work guide to prefect vs airflow beginners: choose a beginner orchestration path for research jobs. Educational only. Not investment advice.
After-work guide to apache airflow dag tutorial: a minimal DAG for pull → transform → write. Educational only. Not investment advice.
After-work guide to docker compose research stack: compose three services for a tiny evening lab. Educational only. Not investment advice.
After-work guide to redis for trading bot state: ephemeral bot state with TTLs—not a source of truth ledger. Educational only. Not investment advice.
After-work guide to docker for python quants: pin a research image so friends can run your notebook. Educational only. Not investment advice.