# python-tensorflowHow can I use TensorFlow with Python 3.11?

TensorFlow is an open-source library for numerical computation and machine learning. It can be used with Python 3.11 to create powerful machine learning models.

## Example code

```
import tensorflow as tf
# Create a TensorFlow constant
constant = tf.constant([[1, 2], [3, 4]])
# Create a TensorFlow variable
variable = tf.Variable([[5, 6], [7, 8]])
# Add the two tensors
add = tf.add(constant, variable)
# Output
print(add)
```

## Output example

```
tf.Tensor(
[[ 6 8]
[10 12]], shape=(2, 2), dtype=int32)
```

The code above creates two TensorFlow constants and a variable, then adds them together and prints the output.

The code consists of the following parts:

- Importing the TensorFlow library (
`import tensorflow as tf`

). - Creating a constant (
`constant = tf.constant([[1, 2], [3, 4]])`

). - Creating a variable (
`variable = tf.Variable([[5, 6], [7, 8]])`

). - Adding the two tensors together (
`add = tf.add(constant, variable)`

). - Printing the output (
`print(add)`

).

For more information on using TensorFlow with Python 3.11, please see the following links:

### More of Python Tensorflow

- How do I resolve a SymbolAlreadyExposedError when the symbol "zeros" is already exposed as () in TensorFlow Python util tf_export?
- How can I use Tensorflow 1.x with Python 3.8?
- How can I convert a Tensor object to a list in Python using TensorFlow?
- How do I upgrade my Python TensorFlow version?
- How do I use the Xception model in TensorFlow with Python?
- How do I update my Python TensorFlow library?
- How can I use the pywrap_tensorflow module in TensorFlow?
- How do I uninstall Python TensorFlow?
- How do I use Python and TensorFlow together to create a Wiki?

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