Towards Reverse Engineering Matplotlib Code From Images

I tried a few helpful applications of Google Bards Image Recognition capabilities for coders. I don’t know about you but I often see beautiful plots (e.g., in research papers or data science reports) and wonder how I could recreate them. Well, Google Bard to the rescue! βœ… Reverse Engineer Exponential Plot in 2D First, let’s … Read more

Pandas DataFrame Object: A Beginner’s Guide

When working with data in Python, one of the most powerful tools at your disposal is the pandas DataFrame. πŸ’‘ A DataFrame is a two-dimensional data structure, which essentially looks like a table with rows and columns. This versatile data structure is widely used in data science, machine learning, and scientific computing, among other data-intensive … Read more

The AI Fact Generator: A Tapping Party for Your Brain

This AI Fact Generator will randomly generate a fact about artificial intelligence, machine learning, or data science. Click the button to see a new fact! πŸ‘‡ Change Fact πŸ’‘ Fact: Want to learn more about AI, ML, and DS? Join our free email academy with 150,000+ readers and download my simple coding cheat sheet. You’ll … Read more

GPT-4 Code Interpreter – How to Run Python & Plot Data in ChatGPT

GPT-4 now provides a friendly little tool that has the potential to completely change the coding industry. Again. You can activate the code interpreter in your ChatGPT Settings: Toggle the “Code Interpreter” option (currently in “Beta features” but not for long): Now you can run the code interpreter using a simple natural language prompt such … Read more

How I Cracked the Top 100 in the Kaggle House Prices Competition

Kaggle is a vibrant online community for data science and machine learning, providing a platform for learning, sharing, and competition. It’s an invaluable resource for individuals interested in these fields, regardless of their level of experience. The Kaggle House Prices – Advanced Regression Techniques Competition, in particular, is an excellent starting point for anyone who … Read more

The World’s Most Expensive Database: $30 Million per GB

As data becomes more and more abundant, digital scarcity becomes more valuable. Let me explain. Imagine a world where robots built houses for free. The abundance on one side (=houses) increases the scarcity on the other side (=land). Consequently, prices of land would skyrocket. Similarly, digital bots and generative AI create floods of digital information, … Read more

Pandas Series Object – A Helpful Guide with Examples

If you’re working with data in Python, you might have come across the pandas library. 🐼 One of the key components of pandas is the Series object, which is a one-dimensional, labeled array capable of holding data of any type, such as integers, strings, floats, and even Python objects πŸ˜ƒ. The Series object serves as … Read more

Python 🐍 Put Legend Outside Plot πŸ“ˆ – Easy Guide

Are you tired of feeling boxed in by your Python plots and ready to break free from the constraints of traditional legend placement? In this guide, I’ll show you how to put legends outside your plot for (click to 🦘 jump): Let’s start with the first! πŸ‘‡πŸ‘©β€πŸ’» Matplotlib Put Legend Outside Plot Let’s start with … Read more