Python-bloggers

The fourth instalment of Shiny in Production is back this October, hosted at the Catalyst in Newcastle upon Tyne, with the super early bird deadline on the 31st of January! Set in the heart of Newcastle, this conference dives into the world of {s...

Linear regression plays a vital role in analysing clonogenic survival curves, with accuracy rates of 95.46% to 99.32% in cell survival data modelling. Scientists can now review how cells maintain their reproductive integrity after radiation exposure through these precise measurements. Researchers rely on clonogenic survival assay as a key tool that shows ...

The NCHRP invested $490,000 in big data validation research that concluded in March 2023. This investment proves how informed approaches have become vital to traffic incident management. The detailed study expands on NCHRP Research Report 904 and explores ways to exploit big data that streamlines traffic incident management systems in state and local ...

Extensive benchmark based on 1311 time series from the Tourism competition, comparing the splitconformal method to the state of the art.

Preamble This post, Part 1 in a series of two, looks at porting the functional code of a Shiny app - written in R - into JavaScript code to be used in an Observable Framework application. Part 2 will look at styling and deploying the ported application. Background and Motivation If you’...

If you’ve ever encountered the challenge of sorting through data to find or manipulate specific text, you’ll know the potential headaches it can cause. Excel’s integration of regular expression (regex) functions has been a game changer, equipping users with powerful tools to search, extract, and replace text ...

Automated systems, known as ai trading bots, have transformed financial markets by analyzing market data and identifying patterns faster than human traders. These bots operate 24/7, executing trades with precision and consistency based on predefined rules and strategies. Building your own auto trading bot offers control over strategies, customizable risk management, ...

Dask is an open-source parallel computing library for Python that enables the processing of large datasets and complex computations across multiple cores and distributed systems. It provides a flexible and dynamic task scheduling system that all...

Python’s incorporation into Excel offers data analysts robust new tools, particularly in the realm of data visualization. This blog post introduces Matplotlib, a core Python library for crafting visualizations. We’ll begin with the essential components, explore Matplotlib’s customization features, and discuss the benefits of using Pandas DataFrames ...