For example, customers can use Python to run predictive models to better identify top sales leads in Salesforce, or at-risk customers in Zendesk on Snowflake.

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

The most popular AI helpers among Python developers are OpenAI ChatGPT and GitHub Copilot. This is the result of a new survey ...

German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models.

However, Python’s methods for parallelizing operations often require data to be serialized and deserialized between threads or nodes, while Julia’s parallelization is more refined.