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# Install TensorFlow
Note: Run the [TensorFlow tutorials](../tutorials) in a pre-configured
[Colab notebook environment](https://colab.research.google.com/notebooks/welcome.ipynb){: .external},
without installation.
TensorFlow is built and tested on the following 64-bit operating systems:
* macOS 10.12.6 (Sierra) or later.
* Ubuntu 16.04 or later
* Windows 7 or later.
* Raspbian 9.0 or later.
While TensorFlow may work on other systems, we only support—and fix issues in—the
systems listed above.
The following guides explain how to install a version of TensorFlow
that enables you to write applications in Python:
* @{$install_linux$Install TensorFlow on Ubuntu}
* @{$install_mac$Install TensorFlow on macOS}
* @{$install_windows$Install TensorFlow on Windows}
* @{$install_raspbian$Install TensorFlow on a Raspberry Pi}
* @{$install_sources$Install TensorFlow from source code}
Many aspects of the Python TensorFlow API changed from version 0.n to 1.0.
The following guide explains how to migrate older TensorFlow applications
to Version 1.0:
* @{$migration$Transition to TensorFlow 1.0}
The following guides explain how to install TensorFlow libraries for use in
other programming languages. These APIs are aimed at deploying TensorFlow
models in applications and are not as extensive as the Python APIs.
* @{$install_java$Install TensorFlow for Java}
* @{$install_c$Install TensorFlow for C}
* @{$install_go$Install TensorFlow for Go}
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