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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...
Have you ever opened your digital notebook, only to feel overwhelmed by a chaotic sea of old notes, half-finished ideas, and forgotten to-dos? In his video, Andy Park breaks down how starting fresh ...
Got a ton of leftovers from hosting (or attending) a holiday celebration? Chef ChatGPT does well with creating meals based on the "whatever's in my fridge" prompt. Amanda Smith is a freelance ...
Joel Cunningham is Lifehacker’s Deputy Editor. He has 15 years of experience as a writer and editor. Previously, he was managing editor of content marketing for Barnes & Noble, where he founded the ...
Custom market research has always been notoriously slow and costly to conduct, often requiring many months and significant investments. As a result, marketers have made many strategic decisions ...
Forbes contributors publish independent expert analyses and insights. Zak Doffman writes about security, surveillance and privacy. Given the news today that the latest mega breach of passwords has ...
Jupyter AI Launches AI Coding in Notebooks Course: Boost Productivity with Automated Code Generation
According to DeepLearning.AI (@DeepLearningAI), a new short course titled 'Jupyter AI: AI Coding in Notebooks' has been launched, taught by Andrew Ng and Brian Granger (@ellisonbg), co-founder of ...
Abstract: Computational notebooks are intended to prioritize the needs of scientists, but little is known about how scientists interact with notebooks, what requirements drive scientists' software ...
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