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Tag: after-work

pythontimesfmtime-seriesforecastinggoogle-researchafter-workmachine-learning

Introducing TimesFM-3: Google’s multivariate time-series foundation model (2026)

What TimesFM-3 is, why multivariate zero-shot forecasting matters, and an after-work Python starting path—with license caveats. Not investment advice.

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Is yfinance still reliable in 2026? Polygon is Massive — and a free official backup stack

yfinance is fine for after-work learning with a disk cache—not a live feed. Layer keyed REST (Massive, ex-Polygon), FRED, and SEC EDGAR; use Stooq CSV failover; migrate api.polygon.io on a checklist. Not investment advice.

pythonmarimojupyternotebooksafter-workgitpandas

Top 5: Marimo vs Jupyter for your after-work notebook

Five verified contrasts—execution model, file format, hidden state, deploy, ecosystem—plus a 45-minute pandas→marimo→git diff exercise for after-work Python learners.

cpfhilpischfixed-incomecompetitor-newsafter-workpython-for-finance

Hilpisch CPF adds Rates, Bonds, and Credit core for the September 2026 cohort

Live-checked competitor news: CPF cohort 7 Sep 2026 adds Python & AI for Rates, Bonds, and Credit (200+ page book); bundle €2,999; fact sheet 4 Aug 2026. Light contrast to after-work short lessons; CTA only Intro to Python.

pythonbacktestingvectorbtnautilusleanafter-workworking-professionals

Top 3 backtest engines for 2026: VectorBT, NautilusTrader, and LEAN

After-work architecture choice: VectorBT for research sweeps, NautilusTrader 2.0 for live-aligned fills, LEAN for cloud multi-asset. Not a remake of the five-tool stack or the look-ahead article.

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Excel Copilot Python vs real Python: 5 differences (2026)

Five verified 2026 differences between Excel Copilot Python (cloud, Anaconda, the sheet) and a portable .py file. For bank, insurance, finance, and ops analysts who live in Excel by day.

pythonduckdbafter-workparquetsqleveningdata-analysis

DuckDB 2.0 this autumn 2026: laptop SQL, or another engine?

Official DuckDB v2.0 preview (17 Aug 2026): new parser, storage, and server mode. After-work analysts on CSV/Parquet should stay in-process, pick 1.4 LTS vs 1.5 from the calendar, and back up before 2.0. Spark is not required.

pythonafter-workAI-agentseveningworking-professionals

Top 10 AI agent tools for after-work Python, data, and first quant steps (2026)

Ten verified 2026 coding-agent tools for after-work Python and first data/quant steps. Not a ranking. You still run a real .py file.

pythonafter-workworking-professionalseveningtools

Top 5 tools to know before a quant course (after work, 2026)

Five free official tools before you pay for EPAT, CQF, or an agentic bootcamp: CPython, VS Code, Jupyter, pandas, Git. After-work stack for employed HK learners — skip the credential until a .py file runs.

pythondata-analysisafter-workworking-professionalsAI

Will AI replace data analysts? After-work Python for the work that stays

AI will not fully replace data analysts. Agents can query and chart, but not decide the question. After-work Python for the job you already have.

pythonhong-kongworkplace-aiafter-workworking-professionals

No time to learn AI? What HKUST’s workplace survey actually shows

HKUST found 72.7% of Hong Kong employees use AI weekly versus 31% globally. Most were never trained; most stay on ChatGPT-style drafting, not data analysis. The practical barrier is time. Here is what one after-work Python sitting actually is.

pythonpandaspolarsdata-analysiseveningafter-work

Pandas 3.0 Copy-on-Write vs Polars after work

Pandas 3.0 made Copy-on-Write default. Chained assignment can fail silently. Patch pandas tonight; keep Polars for big ETL, not a stack rewrite.