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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In a filing to the supreme court of Nepal, Khapung later denied responsibility, and Nepal Police told the BBC that the decision to give the order to fire was made by the committee that Rijal headed up. In a letter, the force said that Khapung "did not issue the order to use force ahead of the committee's decision".
If you try to route from a map of France updated in May with a map of Germany updated in April, HH-Routing may not be compatible across the border. You would need to update all relevant maps to the same version.