Loading the dataset is almost exactly the same, as Keras also provides a loader for CIFAR-10, using the following code:

from keras.datasets import cifar10
def load_data():
 (X_train, y_train), (X_test, y_test) = cifar10.load_data()
 X_train = (X_train.astype(np.float32) - 127.5) / 127.5
 return X_train