Can ChatGPT differentiate and code it in Python? It seems so!
Asking ChatGPT to calculate the differential of a funtion step by step and implement it in Python
This section contains useful programming and data science and visualization tips and tricks. They are all within 1 to 3 minutes reading, perfect for a productive coffee break. Each guide follows the same pattern: what, why and how. Take a look and dive in!
Asking ChatGPT to calculate the differential of a funtion step by step and implement it in Python
How to use the Python Walrus operator to make expressions simpler. Here’s how when computing gradients with JAX.
Turning the attention equation from ‘Attention is All you Need’ into code using ChatGPT
How to completely profile your Python code using snakeviz, line_profiler, memory_profiler and pyinstrument
Using the Altair Python API we can focus on what instead of how to visualize the data
Using 3 different types of plots from the Pandas plotting API we can understand any multivariate data
Track the loss per class per epoch when training a machine learning model to reveal the learning curve for different classes.
This interactive visualization exploring the MNIST data UMAP projections is amazing
Using the explainshell tool to understand the unix command and decrypt the myriad of arguments
You don’t need GitHub Copilot to find boilerplate code.