Lies of P might look like Bloodborne, but it actually has more in common with Sekiro: Shadow’s Die Twice: It’s all about blocking. In this beginner’s guide, we’re going to walk you through nine things you should keep in mind during the opening hours of Lies of P. And, believe it or not, this adaptation rules. Yes, that Pinocchio - the puppet from the Disney movies and the Italian fairytale. Forged in the style of From Software’s titles, Lies of P is full of slow, deliberate combat that demands guarding and dodge rolls.Īlso, it’s called Lies of P because you play as Pinocchio.

Tensor learning, algebra and backends to seamlessly use NumPy, MXNet, PyTorch, TensorFlow or CuPy.Lies of P is a delightful game where you battle your way through a London-inspired city called Krat, destroying mechanical puppets.

Python backend system that decouples API from implementation unumpy provides a NumPy API. Manipulate JSON-like data with NumPy-like idioms. Multi-dimensional arrays with broadcasting and lazy computing for numerical analysis. NumPy-compatible sparse array library that integrates with Dask and SciPy's sparse linear algebra.ĭeep learning framework that accelerates the path from research prototyping to production deployment.Īn end-to-end platform for machine learning to easily build and deploy ML powered applications.ĭeep learning framework suited for flexible research prototyping and production.Ī cross-language development platform for columnar in-memory data and analytics. Labeled, indexed multi-dimensional arrays for advanced analytics and visualization NumPy-compatible array library for GPU-accelerated computing with Python.Ĭomposable transformations of NumPy programs: differentiate, vectorize, just-in-time compilation to GPU/TPU. NumPy's API is the starting point when libraries are written to exploit innovative hardware, create specialized array types, or add capabilities beyond what NumPy provides.ĭistributed arrays and advanced parallelism for analytics, enabling performance at scale. With this power comes simplicity: a solution in NumPy is often clear and elegant. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. Nearly every scientist working in Python draws on the power of NumPy.

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