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SoloQuant Academy

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

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Tag: python

pythonuvicornafter-worktutorial

Uvicorn production Python API after work: workers without heroics

After-work guide to uvicorn production python api: run FastAPI/Starlette with sane workers and logging. Educational only. Not investment advice.

pythononnxafter-worktutorial

ONNX export for a trading model after work: portable inference toys

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After-work guide to onnx export trading model: export a tiny torch/sklearn model and round-trip predict. Educational only. Not investment advice.

pythonfastapiafter-worktutorial

FastAPI deploy ML API after work: one /predict endpoint

After-work guide to fastapi deploy ml api: thin HTTP wrapper around a loaded model artifact. Educational only. Not investment advice.

pythonoptuna-dashboardafter-worktutorial

Optuna dashboard tutorial after work: see trials without drowning

After-work guide to optuna dashboard tutorial: local dashboard over an RDB storage for evening HPO review. Educational only. Not investment advice.

pythontensorboardafter-worktutorial

TensorBoard with PyTorch after work: scalars you will actually read

After-work guide to tensorboard pytorch tutorial: log loss/LR/grads for one tiny training loop. Educational only. Not investment advice.

pythonlimeafter-worktutorial

LIME explainable AI after work: local surrogates for one prediction

After-work guide to lime explainable ai: local linear explanations around a single row. Educational only. Not investment advice.

pythonimbalanced-learnafter-worktutorial

imbalanced-learn for trading labels after work: resample carefully

After-work guide to imbalanced-learn trading labels: resample rare labels for research toys—never as free edge. Educational only. Not investment advice.

pythonshapafter-worktutorial

SHAP model explainability after work: attributions you can narrate

After-work guide to shap model explainability: local/global attributions for a toy classifier—not proof of edge. Educational only. Not investment advice.

pythoncategory-encodersafter-worktutorial

category-encoders with sklearn after work: pipelines without leakage

After-work guide to category-encoders sklearn: sklearn-compatible encoders fit inside CV folds. Educational only. Not investment advice.

pythongreat-expectationsafter-worktutorial

Great Expectations data quality after work: expectations as tests

After-work guide to great expectations data quality: expectation suites for evening data hygiene checkpoints. Educational only. Not investment advice.

pythonpanderaafter-worktutorial

Pandera DataFrame validation after work: schemas for pandas frames

After-work guide to pandera dataframe validation: DataFrameSchema checks before you trust a nightly CSV. Educational only. Not investment advice.

pythonalpacaafter-worktutorial

Alpaca trading API beginner after work: paper account first

After-work guide to alpaca trading api beginner: paper REST habits for after-work learners—not a live strategy. Educational only. Not investment advice.