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Add link to rendered site at top of README
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README.md

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# NumPy tutorials
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_For the rendered tutorials, see https://numpy.org/numpy-tutorials/._
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The goal of this repository is to provide high-quality resources by the
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NumPy project, both for self-learning and for teaching classes with. If you're
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interested in adding your own content, check the [Contributing](#contributing)
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4. [Tutorial: Saving and sharing your NumPy arrays](content/save-load-arrays.md)
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5. [Tutorial: NumPy deep learning on MNIST from scratch](content/tutorial-deep-learning-on-mnist.md)
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6. [Tutorial: X-ray image processing](content/tutorial-x-ray-image-processing.md)
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7. [Tutorial: NumPy deep reinforcement learning with Pong from pixels](content/tutorial-deep-reinforcement-learning-with-pong-from-pixels.md)
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7. [Tutorial: NumPy deep reinforcement learning with Pong from pixels](content/tutorial-deep-reinforcement-learning-with-pong-from-pixels.md)
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8. [Tutorial: Masked Arrays](content/tutorial-ma.md)
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9. [Tutorial: Static Equilibrium](content/tutorial-static_equilibrium.md)
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