SoloQuant Flagship Program Early Bird · $420 USD (Save $379) · Sep 1–Dec 1, 2026 · Launch Jan 1, 2027 →

SoloQuant Academy

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

Information Hub Student Portal Privacy Policy Terms & Conditions

Academy notes

Information Hub

Articles and updates from SoloQuant Academy.

Tag: python

pythonstatsmodelsafter-worktutorial

Statsmodels time series tutorial after work: ARIMA on a toy series

Statsmodels time series after work: fit a tiny ARIMA and read residual checks—not a trading bot. Educational only. Not investment advice.

pythonscipyafter-worktutorial

SciPy signal processing for finance after work: filters you can audit

← Previous

Page 9 of 33

SciPy signal tools for finance after work: detrend and Savitzky–Golay on toy prices you can audit. Educational only. Not investment advice.

pythonnumpyafter-worktutorial

NumPy for quantitative finance after work: arrays before DataFrames

NumPy for quantitative finance after work: vectorized returns, broadcasting, and reproducible RNG. Educational only. Not investment advice.

pythonpolarsafter-worktutorial

Polars LazyFrame for beginners after work: scan, filter, collect

Polars LazyFrame for beginners after work: scan_parquet, filter early, collect once. Educational only. Not investment advice.

pythonpolarsafter-worktutorial

Polars vs pandas for trading data: an after-work decision guide

Polars vs pandas for trading data after work: when to stay, when to scan Parquet lazily, and when a hybrid wins. Educational only. Not investment advice.

pythonpandasafter-worktutorial

Pandas 3.0 string dtype after work: stop treating text like object

Pandas 3.0 string dtype after work: cast tickers and notes off object columns so groupbys stay honest. Educational only. Not investment advice.

pythonpandasafter-worktutorial

A pandas tutorial for finance you can finish after work

Four pandas moves finance notebooks actually use after work: price panels, returns, resample, and clean joins. Educational only. Not investment advice.

pythonmachine-learningbeginnerscourse

What Python machine learning actually means before you buy a course

Before you buy, separate scikit-learn reality (tables, train/test, a classifier) from AGI and trading-bot hype.

pythonnumpypandasdata-analysis

NumPy vs pandas: which should you learn first?

Arrays and tables solve different shapes of work. Here is how evening learners from Excel should choose which library to open first.

pythonpandasdata-analysisevening

Pandas in one evening: read a CSV, filter, and groupby

Three pandas moves you can finish after work: read a CSV, filter the rows that matter, and groupby to a number per category.

pythonsetupbeginnersevening

Set up Python after work in 30 minutes (Windows, Mac, VS Code)

Install Python 3, pip, and VS Code on Windows or Mac in one after-work sitting, run a hello file, and fix common PATH mistakes.

pythonvector-dbembeddingsragafter-work

Top 5 Python local vector DB clients for after-work learners

After-work map for local/vector clients: LanceDB, Milvus Lite, Qdrant (local/client), FAISS, Chroma—embeddings on a laptop. Not SQL-on-DataFrame / RAG-eval / data-validation Top5 retreads. Educational only. Not investment advice.