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Welcome to JAX! The JAX documentation contains a number of useful resources for getting started. :doc:`quickstart` is the easiest place to jump-in and get an overview of the JAX project.
If you're accustomed to writing NumPy code and are starting to explore JAX, you might find the following resources helpful:
- :doc:`notebooks/thinking_in_jax` is a conceptual walkthrough of JAX's execution model.
- :doc:`notebooks/Common_Gotchas_in_JAX` lists some of JAX's sharp corners.
- :doc:`faq` answers some frequent jax questions.
If you're ready to explore JAX more deeply, the JAX tutorials go into much more detail:
.. toctree:: :maxdepth: 2 tutorials
If you prefer a video introduction here is one from JAX contributor Jake VanderPlas:
JAX provides the core numerical computing primitives for a number of tools developed by the larger community. For example, if you're interested in using JAX for training neural networks, two well-supported options are Flax and Haiku.
For a community-curated list of JAX-related projects across a wide set of domains, check out Awesome JAX.
If you have questions about JAX, we'd love to answer them! Two good places to get your questions answered are: