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.

The power of Python trumps Excel workbooks.

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 ...