Install TensorFlow with pip

Ubuntu

sudo apt update
sudo apt install python3-dev python3-pip python3-venv

macOS

Install using the Homebrew package manager:

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
export PATH="/usr/local/opt/python/libexec/bin:$PATH"
# if you are on macOS 10.12 (Sierra) use `export PATH="/usr/local/bin:/usr/local/sbin:$PATH"`
brew update
brew install python  # Python 3

Windows

Install the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017, and 2019. Starting with the TensorFlow 2.1.0 version, the msvcp140_1.dll file is required from this package (which may not be provided from older redistributable packages). The redistributable comes with Visual Studio 2019 but can be installed separately:

1. Go to the Microsoft Visual C++ downloads,
2. Scroll down the page to the Visual Studio 2015, 2017 and 2019 section.
3. Download and install the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019 for your platform.

Make sure long paths are enabled on Windows.

Install the 64-bit Python 3 release for Windows (select pip as an optional feature).

Raspberry Pi

Requirements for the Raspbian operating system:

sudo apt update
sudo apt install python3-dev python3-pip python3-venv
sudo apt install libatlas-base-dev        # required for numpy

Other

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python get-pip.py

Ubuntu / macOS

Create a new virtual environment by choosing a Python interpreter and making a ./venv directory to hold it:

python3 -m venv --system-site-packages ./venv

Activate the virtual environment using a shell-specific command:

source ./venv/bin/activate  # sh, bash, or zsh

. ./venv/bin/activate.fish  # fish

source ./venv/bin/activate.csh  # csh or tcsh

When the virtual environment is active, your shell prompt is prefixed with (venv).

Install packages within a virtual environment without affecting the host system setup. Start by upgrading pip:

pip install --upgrade pip

pip list  # show packages installed within the virtual environment

And to exit the virtual environment later:

deactivate  # don't exit until you're done using TensorFlow

Windows

Create a new virtual environment by choosing a Python interpreter and making a .\venv directory to hold it:

python -m venv --system-site-packages .\venv

Activate the virtual environment:

.\venv\Scripts\activate

Install packages within a virtual environment without affecting the host system setup. Start by upgrading pip:

pip install --upgrade pip

pip list  # show packages installed within the virtual environment

And to exit the virtual environment later:

deactivate  # don't exit until you're done using TensorFlow

Conda

While the TensorFlow provided pip package is recommended, a community-supported Anaconda package is available. To install, read the Anaconda TensorFlow guide.

Virtual environment install

pip install --upgrade tensorflow

Verify the install:

python -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

System install

pip3 install --user --upgrade tensorflow  # install in $HOME

Verify the install:

python3 -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"