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LOBMay 3, 2026 · 20h ago

This Wasm interpreter fits in a QR code

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DEVMay 3, 2026 · 1d ago

↑ 0

Pandas' secret mini-language

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,

#datascience#programming#python#tutorial

#cicd#datascience

DEVMay 3, 2026 · 1d ago

📊 Beyond the Basics: Building and Deploying Interactive Python Dashboards (Streamlit, Dash, & Bokeh)

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

#cicd#datascience#python#tutorial

#python#finance

DEVMay 2, 2026 · 1d ago

[05] When to Pull the Trigger on FIRE — Monte Carlo Says You're Already Free

[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

#python#finance#fire#datascience