Programming

I Stole a Wall Street Trick to Solve a Google Trends Data Problem

is a god-send for market research. If you must understand interest in a selected term you possibly can just look it up and see the way it’s changing over time. That is the...

Write C Code Without Learning C: The Magic of PythoC

an interesting library the opposite day that I hadn’t heard of before.  PythoC is a Domain-Specific Language (DSL) compiler that enables developers to jot down C programs using standard Python syntax. It takes a...

The best way to Create Production-Ready Code with Claude Code

can quickly generate numerous code. Using the likes of Cursor or Claude Code, you’re in a position to rapidly develop powerful and capable applications. Nevertheless, in lots of cases, the initial code these models...

The Black Box Problem: Why AI-Generated Code Stops Being Maintainable

A Pattern Across Teams forming across engineering teams that adopted AI coding tools within the last 12 months. The first month is euphoric. Velocity doubles, features ship faster, stakeholders are thrilled. By month three,...

5 Ways to Implement Variable Discretization

Although continuous variables in real-world datasets provide detailed information, they should not at all times probably the most effective form for modelling and interpretation. That is where variable discretization comes into play. Understanding variable discretization...

Code Less, Ship Faster: Constructing APIs with FastAPI

with Python, most individuals discuss Django and Flask. But there’s a more moderen, very speedy option that many Python programmers are beginning to love: FastAPI. FastAPI is built on modern Python features, using standard...

The Gap Between Junior and Senior Data Scientists Isn’t Code

five minutes on LinkedIn or X, you’ll notice a loud debate in the info science industry. It’s been out for some time now, but this week, it finally caught my attention. As much as...

PySpark for Pandas Users

an actual issue when coping with very large datasets. What I mean by “very large” is data that exceeds the capability of a single machine’s RAM.  A few of the key friction points Pandas...

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