Mac Python Pip Install

16-04-2021

Mac Python Pip Install

Getting started with JupyterLab

The installation guide contains more detailed instructions

However, if you're on an older version of Raspbian, you can still install PIP. On Python 2.x: sudo apt-get install python-pip. On Python 3.x: sudo apt-get install python3-pip. With Raspbian, Python 2.x users should use pip while Python 3.x users should use pip3 when issuing PIP commands.

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. I want to install pip for python 2.7 on my Mac. I think this is the python located in /usr/bin/python. Unfortunately I have already installed Anaconda, which installs python 3.6.3, and changes things so that the command python xxx.py automatically runs xxx.py using python 3.6.3. Actually pip.exe in windows is an python script as others in /scripts directory, but wraped in exe to run it with default python interpreter. By opening pip.exe with 7-zip you can see main.py importing pip, sys and re modules. (And there you'll find the answer how to run it within a python shell)- pip is a regular python module. If you use pip, you can install it with: pip install jupyterlab If installing using pip install -user, you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab.

Install with conda

If you use conda, you can install it with:

Install with pip

If you use pip, you can install it with:

If installing using pip install --user, you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab. If you are using a Unix derivative (FreeBSD, GNU / Linux, OS X), you can achieve this by using export PATH='$HOME/.local/bin:$PATH' command.

Run JupyterLab

Once installed, launch JupyterLab with:

Getting started with the classic Jupyter Notebook

conda

We recommend installing the classic Jupyter Notebook using the conda package manager. Either the miniconda or the miniforge conda distributions include a minimal conda installation.

Then you can install the notebook with:

Mac Python 3 Pip Install

pip

If you use pip, you can install it with:

Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):

See Running the Notebook for more details.

Getting started with Voilà

Installation

Voilà can be installed using conda or pip. For more detailed instructions, consult the installation guide.

conda

If you use conda, you can install it with:

pip

If you use pip, you can install it with:

RSVP for your your local TensorFlow Everywhere event today!

TensorFlow 2 packages are available

tensorflow —Latest stable release with CPU and GPU support(Ubuntu and Windows)
tf-nightly —Preview build (unstable). Ubuntu and Windows include GPU support.

Older versions of TensorFlow

For TensorFlow 1.x, CPU and GPU packages are separate:

tensorflow1.15 —Release for CPU-only
tensorflow-gpu1.15 —Release with GPU support(Ubuntu and Windows)

System requirements

Python 3.6–3.8
- Python 3.8 support requires TensorFlow 2.2 or later.
pip 19.0 or later (requires manylinux2010 support)
Ubuntu 16.04 or later (64-bit)
macOS 10.12.6 (Sierra) or later (64-bit) (no GPU support)
Windows 7 or later (64-bit)
Raspbian 9.0 or later
GPU support requires a CUDA®-enabled card (Ubuntu and Windows)

Note: Installing TensorFlow 2 requires a newer version of pip.

Hardware requirements

Starting with TensorFlow 1.6, binaries use AVX instructions which may not run on older CPUs.
Read the GPU support guide to set up a CUDA®-enabled GPU card on Ubuntu or Windows.

1. Install the Python development environment on your system

Check if your Python environment is already configured:

Requires Python 3.6–3.8, pip and venv >= 19.0

If these packages are already installed, skip to the next step.
Otherwise, install Python, the pip package manager, and venv:

Ubuntu

macOS

Install using the Homebrew package manager:

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:

Go to the Microsoft Visual C++ downloads,
Scroll down the page to the Visual Studio 2015, 2017 and 2019 section.
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-bitPython 3 release for Windows (select pip as an optional feature).

Raspberry Pi

Requirements for the Raspbian operating system:

Other

Caution: Upgrading the system pip can cause problems.
If

Python Pip Install Tkinter Mac

not in a virtual environment, use python3 -m pip for the commands below. This ensures that you upgrade and use the Python pip instead of the system pip.

2. Create a virtual environment (recommended)

Python virtual environments are used to isolate package installation from the system.

Ubuntu / macOS

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

Activate the virtual environment using a shell-specific command:

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:

And to exit the virtual environment later:

Windows

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

Activate the virtual environment:

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

And to exit the virtual environment later:

Conda

While the TensorFlow provided pip package is recommended, acommunity-supportedAnaconda packageis available. To install, read the Anaconda TensorFlow guide.

3. Install the TensorFlow pip package

Choose one of the following TensorFlow packages to install from PyPI:

tensorflow —Latest stable release with CPU and GPU support(Ubuntu and Windows).
tf-nightly —Preview build (unstable). Ubuntu and Windows include GPU support.
tensorflow1.15 —The final version of TensorFlow 1.x.

Package dependencies are automatically installed. These are listed in the setup.py file under

REQUIRED_PACKAGES.

Virtual environment install

Verify the install:

System install

Verify the install:

Success: If a tensor is returned, you've installed TensorFlow successfully. Read the tutorials to get started.

Package location

Python Install Pip Mac Brew

A few installation mechanisms require the URL of the TensorFlow Python package. The value you specify depends on your Python version.