Pharmacy Sales Data: A Pandas Project
Introduction This week, I worked on a pharmacy sales dataset using pandas. The dataset had 6,150 rows and 26 columns, covering orders, products, cus…
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A Practical Guide to SQL Joins, Subqueries, CTEs, and Window Functions.
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How to see which companies are hiring right now (and what changed this week) from Greenhouse, Lever, Ashby and Workday boards
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Cronbach's Alpha Explained: Formula, Worked Example, Python/R Code, and a Free Calculator
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Originally published at tensorust.com . TL;DR: On October 17, 2026 I pulled every daily download number crates.io has for my 69 Rust crates. Over 89…
How to Compare More Than 5 Keywords in Google Trends on One 0-100 Scale
If you've ever tried to chart 12 keywords from Google Trends, you've hit the wall: the compare box takes 5 terms max . The obvious workaround (run t…
What 300 live Booking.com ads reveal about their Google and Meta strategy
Booking.com spends more on performance marketing than almost any company in travel. You can't see their budget, but you can see their ads: Google an…
A pytrends alternative in 2026: Google Trends data in Python without 429 errors
For years, pytrends was the default way to get Google Trends data in Python. Today its GitHub repository is archived (read-only), and its last relea…
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PCAD-31-02 in Code: Validation Checks and Safe sqlite3 Queries Behind 30 of the 48 Items
The Python Institute PCAD-31-02 exam has 48 items, and 30 of them come from two syllabus blocks: Data Acquisition and Pre-Processing (14) and Progra…
Analyzing 40 Years of Japanese Public Open Data in 3 Minutes with DuckDB (No API Keys, In-Memory Parquet)
The Hidden Goldmine (and Nightmare) of Japan's Open Data Japan’s government ministries publish massive amounts of open public data: Multi-billion-do…
How to Catch and Auto-Fix Broken CSVs Before Database Ingestion (RFC-4180)
The Silent Nightmare of Dirty CSV Files Every data engineer, analyst, and backend developer has experienced this: your automated ETL pipeline crashe…
From Raw Hourly Data to a Validated Model: A Pandas and scikit-learn Walkthrough
Hourly time-series data rarely arrives clean. Hours go missing, timestamps repeat, sensors report impossible values, and some series start years aft…
Measuring a Cardano perpetuals venue: volume, cross-venue price gaps, funding and maker markout on Strike Finance
Most of what we publish at The Cardano Record comes from our own cardano-db-sync node. This segment doesn't. Strike Finance is Cardano's perpetuals…
Do Cardano's governance vote rationales still resolve? Measuring it with db-sync and a blake2b-256 check
Under CIP-1694, a Cardano governance vote can carry an anchor : a URL to a document that explains the vote, plus a blake2b-256 hash of that document…
Kafka and Flink Hit a Wall at the Model Serving Boundary
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Can The Public Trust The Numbers If They Can’t Understand Them? ; A Research Paper Summarization on Covid 19 Vaccination Data Visualization Issues
Main Research Questions and Why They Matter The main research questions asked by the research paper authors were: What are issues with visualizing v…
Mastering Stress: Real-time HRV Outlier Detection with Bi-LSTM and TensorFlow 🧠💓
Have you ever wondered why your Apple Watch suddenly pings you to "take a breath" exactly when your boss sends that "Can we hop on a quick call?" Sl…
Closing the Loop in Healthcare AI: From Prediction to Verified Action
Healthcare AI evaluation often focuses on model outputs, including discrimination, calibration and predictive performance. These measures are import…
Solving for X: Cracking the Code of Linear Equations in Data Science
Alright, team! In our last post, we kicked off our dive into linear algebra for data science by looking at how we represent data using matrices and…
Getting a Grip on Linear Algebra for Data Science: It's Not as Scary as It Sounds!
Alright, so you're diving into data science, and everyone keeps talking about linear algebra. Don't sweat it! It's a super fundamental part of this…
Merging Two Messy CSVs: The Key Problems Excel Formulas Hide From You
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Backtesting a Polymarket copy trading bot without fooling yourself
Copy trading is the most common bot idea on Polymarket: find the wallets that win and buy what they buy. We tested it on five sports (MLB, NFL, coll…
Sell the Line, Not the Dots: What Strangers Actually Pay Solo Data Builders For
A dataset is not a product. A decision you can make every morning without opening a laptop is a product. That distinction is the difference between…
Telegram View Counts: How to Spot a Botted Channel in Five Minutes
Every buyer of Telegram ad slots has seen the pitch: a channel with 80,000 subscribers, views averaging 40,000 per post, engagement rate a healthy 5…
What You Can Actually See in a Public Telegram Channel Without an Account
Searches for "see telegram channel without account" return a wall of shrugs. Here is the precise inventory of what the public web preview exposes, a…
Telegram Channels Are Order Books: Volume Spikes Precede Price Moves
A Telegram channel is not a media feed. It is a market. The proof: the posts have prices in them, and the price lines have shape. I run a small unat…
Secret Scanning Production Notes: Triage, Liveness, and Reports That Get Paid
Secret-scanning a target's public footprint sounds simple: grep public code for key patterns, alert on new hits. The first production week will teac…
Your Telegram Preview Crawl Is a Population, Not a Census: Post-ID Cursors and Coverage Ceilings
Every guide to scraping t.me/s/<channel> says the same thing: you can get the latest ~20 posts per fetch, no login. Nobody warns you about wha…
Git Push as OSINT Infrastructure: Zero-Server Telegram Collection on GitHub Actions
Short version: the cheapest OSINT infra that actually survives an incident is git push + cron . Long version, with the numbers. I run Telegram chann…