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Short evening lessons for people who work. Quant trading, Python, data, systems, architecture.

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Tag: python

pythonjaxafter-worktutorial

JAX for quantitative research after work: grad, vmap, and array thinking

After-work guide to jax for quantitative research: functional array programs with autodiff for research toys. Educational only. Not investment advice.

pythonnumbaafter-worktutorial

Numba JIT speed-up after work: compile the hot loop, keep the rest Python

After-work guide to numba jit speed up python: nopython JIT for numeric loops without rewriting in C. Educational only. Not investment advice.

pythonnumbaafter-worktutorial

Cython vs Numba for backtests after work: pick the pain you can maintain

After-work guide to cython vs numba backtest: JIT vs compile-step tradeoffs for evening backtest kernels. Educational only. Not investment advice.

pythoncondaafter-worktutorial

Conda vs venv for data science after work: choose by binary pain

After-work guide to conda vs venv for data science: when conda binaries beat pure-pip venvs for science stacks. Educational only. Not investment advice.

pythonuvafter-worktutorial

uv Python package manager after work: fast installs for short sessions

After-work guide to uv python package manager: Astral uv as a speedy pip/venv replacement for evening work. Educational only. Not investment advice.

pythonpoetryafter-worktutorial

Poetry Python dependency management after work: lockfiles without drama

After-work guide to poetry python dependency management: pyproject + lockfile for reproducible evening research envs. Educational only. Not investment advice.

pythongithub-actionsafter-worktutorial

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.

pythondvcafter-worktutorial

DVC data version control after work: pin datasets next to git commits

After-work guide to dvc data version control: version large data without stuffing binaries into git. Educational only. Not investment advice.

pythongitafter-worktutorial

Git for quant research workflow after work: branches, tags, and clean diffs

After-work guide to git for quant research workflow: research hygiene with branches and meaningful commits. Educational only. Not investment advice.

pythonrayafter-worktutorial

Ray Tune distributed training after work: scale trials when one CPU is slow

After-work guide to ray tune distributed training: Tune for parallel trials—start local before a cluster. Educational only. Not investment advice.

pythonoptunaafter-worktutorial

Optuna hyperparameter tuning after work: study, trial, and early stop

After-work guide to optuna hyperparameter tuning: define a search space and let trials compete honestly. Educational only. Not investment advice.

pythonwandbafter-worktutorial

Weights & Biases (wandb) tutorial after work: runs you can compare

After-work guide to weights and biases wandb tutorial: cloud-friendly run comparison for evening experiments. Educational only. Not investment advice.

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