SQL
Query any databaseSELECT, joins, aggregation, window functions and the performance tips that matter.
Open · Free →Practical one-page cheat sheets and plain-language guides for teams going through digital transformation. Free to read, print and share. Written in English; Bahasa Melayu and 中文 on request.
JY holds a Master’s in Data Science and builds production data pipelines, dashboards and grounded AI systems for Malaysian businesses — then teaches teams to run them, in plain language and on their own examples.
This Knowledge Base is the same material used in JYnapse workshops, made free to read. Everything here is available in English, Bahasa Melayu and 中文 on request.
The tools our clients reach for most, distilled to a single printable page each. Open, read, or save as PDF — no sign-up.
SELECT, joins, aggregation, window functions and the performance tips that matter.
Open · Free →Types, collections, loops, functions and comprehensions on one page. Python 3.
Open · Free →Load, clean, filter, group, merge and reshape DataFrames.
Open · Free →Lookups, IF logic, SUMIFS, pivot tables and the shortcuts worth memorising.
Open · Free →Pick the right chart, then build it in matplotlib, seaborn or Plotly.
Open · Free →Distributions, confidence intervals, hypothesis tests and the traps that catch everyone.
Open · Free →Power Query, star-schema modelling, measures, CALCULATE and time intelligence.
Open · Free →Frame, split, train, evaluate — and the metrics that tell you if it works.
Open · Free →Prompt anatomy, few-shot examples, structured output and grounding.
Open · Free →Retrieval, the agent loop, tools, orchestration, guardrails — and which build to choose.
Open · Free →Longer reads for when a decision needs the whole picture — written for business owners, not engineers.
Where automation ends, where AI earns its cost, and why almost every workflow needs both — in that order.
Read · Free →“Build us an AI assistant” hides three projects that cost wildly different amounts. How to tell them apart.
Read · Free →Why “train it on our documents” almost always means retrieval — cheaper, updatable, and able to cite its sources.
Read · Free →Every cheat sheet and guide here can become a live workshop — on your own data, in the language your team works in.
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