The Programming Skills You Need for Today’s Data Roles

Staying current with programming skills is essential for standing out in data science and AI roles. This collection of resources highlights several coding-focused tutorials, including how to use Label Studio for object-detection data and how to optimize queues with RabbitMQ for complex LLM tasks. It also points to articles on structured data extraction using Google's Gemma, systematic prompt engineering, and the use of generative AI in scientific research. Furthermore, the content introduces new authors covering topics like transformer positional embeddings, LLM monitoring with Langfuse, and Bayesian hyperparameter optimization.