Install TensorFlow with pip

Ubuntu

sudo apt update
sudo apt install python3-dev python3-pip
sudo pip3 install -U virtualenv  # system-wide install

mac OS

Install using the Homebrew package manager:

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
export PATH="/usr/local/bin:/usr/local/sbin:$PATH"
brew update
brew install python  # Python 3
sudo pip3 install -U virtualenv  # system-wide install

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).

pip3 install -U pip virtualenv

Raspberry Pi

Requirements for the Raspbian operating system:

sudo apt update
sudo apt install python3-dev python3-pip
sudo apt install libatlas-base-dev        # required for numpy
sudo pip3 install -U virtualenv           # system-wide install

Other

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python get-pip.py
sudo pip3 install -U virtualenv  # system-wide install

Ubuntu / mac OS

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

virtualenv --system-site-packages -p python3 ./venv

Activate the virtual environment using a shell-specific command:

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

When virtualenv 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 virtualenv 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:

virtualenv --system-site-packages -p python3 ./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 virtualenv later:

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

Conda

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

conda create -n venv pip python=3.7  # select python version

Activate the virtual environment:

source activate venv

Within the virtual environment, install the TensorFlow pip package using its complete URL:

pip install --ignore-installed --upgrade packageURL

And to exit virtualenv later:

source deactivate

Virtualenv 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])))"