args[1] = "hi zev" # TypeError: 'tuple' object does not support item assignment
As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?
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As of Feb. 27, you can get the 65-inch Samsung The Frame Pro LED Smart TV (LS03FW, 2025) for $1,497.99, down from $2,097.99, at Amazon. That's a 29% discount or $600 savings. It's also the lowest price we've tracked to date!
In 2026, that’s what we’re getting, with the 6.3-inch S26 ($899) and 6.7-inch S26+ ($1,099). Both phones are more expensive than last year, and it’s often a game of spot-the-difference when it comes to showing what’s new.