Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

record.py - example of recording realtime data from selected channels. example_control_loop.py - example for controlling robot motion. Program moves robot between 2 setpoints. Copy ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Power BI is a popular business intelligence tool that allows you to create interactive dashboards and reports from various data sources. Power BI also supports Python, a versatile and powerful ...

Social media platforms generate an immense amount of data every second – from user engagement metrics to trending topics. Social media analytics involves collecting, processing, and interpreting this ...

The generative AI technology powering ChatGPT—OpenAI's GPT-3.5 and GPT-4 LLMs—is available to R users, with a growing collection of packages and apps to choose from. ChatGPT can answer questions about ...

Let’s imagine you need access to the real-time data of some smart contracts on Ethereum (or Polygon, BSC, etc.) like Uniswap or even PEPE coin to analyze its data using the standard data ...