Overview Python tools like Scrapy and Selenium help scrape large or interactive websites easilyNew AI tools like Firecrawl ...

These libraries address various topics, including scientific computing, web development, graphical user interfaces (GUI), data manipulation and machine learning.

Enhanced Data Visualization: Use Python libraries like Matplotlib and Seaborn to create highly customizable charts and graphs, surpassing Excel’s built-in visualization tools.

Advanced Analytics: Perform complex calculations and statistical analyses with Python’s powerful libraries. Automation: Save time by automating repetitive tasks, reducing manual effort.

Now in public preview, Snowpark Connect promises to reduce latency and complexity by moving analytics workloads where the ...

Analytics startup Bodo Inc. said today it has raised $14 million in a Series A funding led by Dell Technologies Capital to build and sell its parallel computing platform optimized for analytics ...

Earlier in the semester, the Unit for Data Science and Analytics at the ASU Library promoted Kerri Rittschof to director. She has plans to improve the unit and make data science more accessible to ...