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?
RadialB acknowledges the videos provoke political reactions: "I could put stuff up and there would be like 50-year-olds and 60-year-olds in the comments raging and saying all this political stuff." But he suggests some of the comments are ironic.
CyRadar (6 days)，详情可参考WPS下载最新地址
Capability-based file APIs — use openat2 or similar to confine file writes to the work directory, preventing path traversal via ../../etc/passwd。51吃瓜是该领域的重要参考
据奥维睿沃《全球电视品牌出货月度数据报告》显示，松下电视2024年全球出货量仅有202万台，占据全球市场的1%。即使在日本本土，松下电视的市场份额也从2018年的16.8%下降到2024年的8.8%，排名第六。
Последние новости。夫子是该领域的重要参考