Python-bloggers

Picture this: a crucial clinical trial is underway, and every data point matters. The pharma industry is increasingly turning to open-source tools like R to handle complex data analysis, drawn by their flexibility, innovation, added value and cost-effectiveness. But with these benefits come new challenges — particularly when it comes to ...

Think of Shiny for Python custom modules as reusable components. You write the logic once, make it as tweakable as possible, and then reuse it throughout your application. As it turns out, creating custom modules in Shiny for Python is simple enough, but there are some new concepts you need ...

Knowing the distance to coastline for an exposure is crucial for insurance rating applications because it helps insurers assess the risk of hazards like hurricanes, storm surges, and flooding, which are much more prevalent in coastal areas. This...

In the era of artificial intelligence (AI) and machine learning (ML), data has emerged as the lifeblood fueling groundbreaking advancements. In recent times, amidst this digital revolution, large language models (LLMs) have taken center stage, transforming the way we interact with and harness the power of language. However, the success ...

A few days ago I wrote about a scraper for gathering economic calendar data. Well, I’m back again to write about another aspect of the same project: acquiring earnings calendar data.

In the realm of statistical analysis, the concordance correlation coefficient (CCC) stands out as a powerful tool for assessing agreement between different measurement methods or observers. This statistical measure has gained prominence in various fields, including psychology, medicine, and environmental science, due to its ability to evaluate both precision and ...

Combining the flexibility of data lakes with the reliability and performance of data warehouses, data lakehouses have become a cost-efficient and scalable option for businesses. The latest survey by Dremio suggests that 70% of data professionals believe that data lakehouses will power over half of their analytics within three years, and ...

If you’re a biostatistician or clinical software developer, you’ve probably felt the weight of trying to meet GxP standards while navigating the FDA/EMA submission process. It’s not just about getting the software right—it’s about ensuring safety, quality, and compliance, all under tight timelines. It ...

In the rapidly evolving landscape of product development, Large Language Models (LLMs) are causing a revolution in how companies approach innovation and customer satisfaction. LLM product development has emerged as a game-changing strategy, combining the power of generative AI with traditional product creation processes. This fusion has an impact on ...