## Highlights

*   TF 2.0 delivers Keras as the central high level API used to build and train
    models. Keras provides several model-building APIs such as Sequential,
    Functional, and Subclassing along with eager execution, for immediate
    iteration and intuitive debugging, and `tf.data`, for building scalable
    input pipelines. Checkout
    [guide](https://www.tensorflow.org/beta/guide/keras/overview) for additional

counter *[gcmBlockSize]byte, nonce []byte) { // GCM has two modes of operation with respect to the initial counter // state: a "fast path" for 96-bit (12-byte) nonces, and a "slow path" // for nonces of other lengths. For a 96-bit nonce, the nonce, along // with a four-byte big-endian counter starting at one, is used // directly as the starting counter. For other nonce sizes, the counter // is computed by passing it through the GHASH function. if len(nonce) == gcmStandardNonceSize { copy(counter[:],...

counter *[gcmBlockSize]byte, nonce []byte) { // GCM has two modes of operation with respect to the initial counter // state: a "fast path" for 96-bit (12-byte) nonces, and a "slow path" // for nonces of other lengths. For a 96-bit nonce, the nonce, along // with a four-byte big-endian counter starting at one, is used // directly as the starting counter. For other nonce sizes, the counter // is computed by passing it through the GHASH function. if len(nonce) == gcmStandardNonceSize { copy(counter[:],...

## 0.84.0

### Breaking Changes

This version of FastAPI drops support for Python 3.6. 🔥 Please upgrade to a supported version of Python (3.7 or above), Python 3.6 reached the end-of-life a long time ago. 😅☠

* 🔧 Update package metadata, drop support for Python 3.6, move build internals from Flit to Hatch. PR [#5240](https://github.com/tiangolo/fastapi/pull/5240) by [@ofek](https://github.com/ofek).

## 0.83.0