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?
Compared to the third-gen Polaroid Now Plus, my former retro pick, the Flip delivers clearer shots with fewer wasted photos, making the extra $50 worthwhile given that eight I-Type sheets are a spendy $18.99. The increased clarity can be attributed to several factors, including the Flip’s sonar autofocus and a four-lens hyperfocal system — which result in sharper, more focused images — along with its excellent flash. It’s the most powerful of any Polaroid camera, and while it can sometimes overexpose images, you can adjust exposure directly from the camera or app. The Scene Analysis feature also helps by warning if a shot is likely to be over- or underexposed, or if you’re too close to your subject. In my experience, the warnings didn’t always prevent overexposure, but they did leave me with shots that looked less blown than those from the Now Plus.,详情可参考旺商聊官方下载
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"If I get disappointed, I get disappointed really hard - so I actually do this thing where I'll look at who I'm up against and decide, 'OK, I'm rooting for them instead'.",这一点在雷电模拟器官方版本下载中也有详细论述
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