@@ -10,7 +10,7 @@ There are a few ways to set up your environment to use TensorFlow Quantum (TFQ):
1010 Python's pip package manager.
1111* Or build TensorFlow Quantum from source.
1212
13- TensorFlow Quantum is supported on Python 3.10, 3.11, and 3.12 and depends directly on [ Cirq] ( https://github.com/quantumlib/Cirq ) .
13+ TensorFlow Quantum is supported on Python version 3.9 through 3.12 and depends directly on [ Cirq] ( https://github.com/quantumlib/Cirq ) .
1414
1515## Pip package
1616
@@ -56,7 +56,7 @@ The following steps are tested for Ubuntu-like systems.
5656
5757### 1. Set up a Python 3 development environment
5858
59- First we need the Python 3.10 development tools.
59+ We will use Python 3.10 as an example. First, we need the Python 3.10 development tools.
6060<!-- common_typos_disable -->
6161<pre class =" devsite-click-to-copy " >
6262 <code class =" devsite-terminal " >sudo apt update</code >
@@ -87,7 +87,7 @@ guide, the <a href="https://bazel.build/" class="external">Bazel</a>
8787build system will be required.
8888
8989Our latest source builds use TensorFlow 2.16.2. To ensure compatibility we use
90- ` bazel ` version 6.5.0. To remove any existing version of Bazel:
90+ the same version of ` bazel ` , 6.5.0. To remove any existing version of Bazel:
9191<!-- common_typos_disable -->
9292<pre class =" devsite-click-to-copy " >
9393 <code class =" devsite-terminal " >sudo apt-get remove bazel</code >
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