A real-world case study in passive threat intelligence and open-source investigation. Disclaimer: This research was conducted exclusively for educational purposes and passive threat intelligence. No systems were breached, no credentials were used without authorization, and no sensitive identifying data is reported in this article. All information collected comes from publicly accessible sources: S
CoderLegion charges $10/month premium while running hidden ads, faking their founding date, inflating user counts by 70%, and sending bulk emails with mail merge errors. Full technical proof. Every claim verified against public record. TL;DR: CoderLegion charges $10/month for "premium" access to ~37 active writers on a free open-source script running on $5 shared hosting. They claim no ads (Goo
The DataFrame class (from Pandas) is a work of art. Even if you never "do data", priceless lessons can be gleaned by studying this class. It starts simple enough. Usually you will create a DataFrame by ingesting from a CSV file or database table or something. But you can whip up a small one like this: import pandas as pd df = pd.DataFrame({ 'A': [-137, 22, -3, 4, 5], 'B': [10, 11,
When we talk about Data Visualization and Dashboards, enterprise tools like Tableau or PowerBI often dominate the conversation. However, for Data Scientists and Developers, these GUI-based tools can feel restrictive. What if you need complex machine learning integration, custom UI logic, or automated CI/CD deployments? Enter the holy trinity of Python visualization tools: Streamlit, Dash, and Boke
[05] When to Pull the Trigger on FIRE — Monte Carlo Says You're Already Free This is Part 5 of a 6-part series: Building Investment Systems with Python "You need 25x your annual expenses." That's the standard FIRE rule. For ¥9.6M annual expenses, that's ¥240M. Most people see that number and think: "I'll never get there." But the 25x rule assumes a fixed 4% withdrawal rate, zero income, zero ada