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Source channel @githubtrending · Post #15571 · Mar 18

#python#newton_physics#nvidia_warp#physics_simulation#robotics Newton is a free, open-source GPU-accelerated physics engine for fast, accurate robot simulations, built by NVIDIA, Google DeepMind, and Disney Research. Install easily with `pip install "newton[examples]"` and run demos like pendulums, humanoids, cloth, cables, or hands via simple Python commands—it supports Linux/Windows/macOS with NVIDIA GPUs. You benefit by quickly testing robotics ideas with high-speed, differentiable physics for AI training, real-time adaptability, and complex tasks like manipulation, cutting weeks off development time. https://github.com/newton-physics/newton

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djangoproject

@djangoproject · Post #153 · 09/03/2016, 08:20 PM

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http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.

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