For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms. Download the latest Python 3 and Python 2 source. Install Python 3 on MacOS. Historically MacOS came preinstalled with Python 2, however starting with Mac 10.15 (released in October 2019) this is no longer the case.And since Python 2 will no longer be officially supported as of January 1, 2020, you should really use Python 3 instead. There are multiple ways to install Python 3 on a MacOS computer.
Getting started with JupyterLab
The installation guide contains more detailed instructions
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:
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):
How To Install For Mac
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:As a popular open source development project, Python has an activesupporting community of contributors and users that also make their softwareavailable for other Python developers to use under open source license terms.
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This allows Python users to share and collaborate effectively, benefitingfrom the solutions others have already created to common (and sometimeseven rare!) problems, as well as potentially contributing their ownsolutions to the common pool.
This guide covers the installation part of the process. For a guide tocreating and sharing your own Python projects, refer to thedistribution guide.
Note
For corporate and other institutional users, be aware that manyorganisations have their own policies around using and contributing toopen source software. Please take such policies into account when makinguse of the distribution and installation tools provided with Python.
Key terms¶
- Download crack apps for mac.
pip
is the preferred installer program. Starting with Python 3.4, itis included by default with the Python binary installers. - A virtual environment is a semi-isolated Python environment that allowspackages to be installed for use by a particular application, rather thanbeing installed system wide.
venv
is the standard tool for creating virtual environments, and hasbeen part of Python since Python 3.3. Starting with Python 3.4, itdefaults to installingpip
into all created virtual environments.virtualenv
is a third party alternative (and predecessor) tovenv
. It allows virtual environments to be used on versions ofPython prior to 3.4, which either don’t providevenv
at all, oraren’t able to automatically installpip
into created environments.- The Python Packaging Index is a publicrepository of open source licensed packages made available for use byother Python users.
- the Python Packaging Authority is the group ofdevelopers and documentation authors responsible for the maintenance andevolution of the standard packaging tools and the associated metadata andfile format standards. They maintain a variety of tools, documentation,and issue trackers on both GitHub andBitbucket.
distutils
is the original build and distribution system first added tothe Python standard library in 1998. While direct use ofdistutils
isbeing phased out, it still laid the foundation for the current packagingand distribution infrastructure, and it not only remains part of thestandard library, but its name lives on in other ways (such as the nameof the mailing list used to coordinate Python packaging standardsdevelopment).
Changed in version 3.5: The use of
venv
is now recommended for creating virtual environments.See also
Basic usage¶
The standard packaging tools are all designed to be used from the commandline.
The following command will install the latest version of a module and itsdependencies from the Python Packaging Index:
Note
For POSIX users (including Mac OS X and Linux users), the examples inthis guide assume the use of a virtual environment.
For Windows users, the examples in this guide assume that the option toadjust the system PATH environment variable was selected when installingPython.
It’s also possible to specify an exact or minimum version directly on thecommand line. When using comparator operators such as
>
, <
or some otherspecial character which get interpreted by shell, the package name and theversion should be enclosed within double quotes:Normally, if a suitable module is already installed, attempting to installit again will have no effect. Upgrading existing modules must be requestedexplicitly:
More information and resources regarding
pip
and its capabilities can befound in the Python Packaging User Guide.Creation of virtual environments is done through the
venv
module.Installing packages into an active virtual environment uses the commands shownabove.See also
How do I …?¶
These are quick answers or links for some common tasks.
… install pip
in versions of Python prior to Python 3.4?¶
Python only started bundling
pip
with Python 3.4. For earlier versions,pip
needs to be “bootstrapped” as described in the Python PackagingUser Guide.Python Install For Mac Windows 10
See also
… install packages just for the current user?¶
Passing the
--user
option to python-mpipinstall
will install apackage just for the current user, rather than for all users of the system.… install scientific Python packages?¶
A number of scientific Python packages have complex binary dependencies, andaren’t currently easy to install using
pip
directly. At this point intime, it will often be easier for users to install these packages byother meansrather than attempting to install them with pip
.See also
… work with multiple versions of Python installed in parallel?¶
On Linux, Mac OS X, and other POSIX systems, use the versioned Python commandsin combination with the
-m
switch to run the appropriate copy ofpip
:Appropriately versioned
pip
commands may also be available.On Windows, use the
py
Python launcher in combination with the -m
switch:Common installation issues¶
Installing into the system Python on Linux¶
On Linux systems, a Python installation will typically be included as partof the distribution. Installing into this Python installation requiresroot access to the system, and may interfere with the operation of thesystem package manager and other components of the system if a componentis unexpectedly upgraded using
pip
.On such systems, it is often better to use a virtual environment or aper-user installation when installing packages with
pip
.Pip not installed¶
It is possible that
pip
does not get installed by default. One potential fix is:There are also additional resources for installing pip.
Installing binary extensions¶
Python has typically relied heavily on source based distribution, with endusers being expected to compile extension modules from source as part ofthe installation process.
With the introduction of support for the binary
wheel
format, and theability to publish wheels for at least Windows and Mac OS X through thePython Packaging Index, this problem is expected to diminish over time,as users are more regularly able to install pre-built extensions ratherthan needing to build them themselves.Some of the solutions for installing scientific softwarethat are not yet available as pre-built
wheel
files may also help withobtaining other binary extensions without needing to build them locally.Python Install For Mac High Sierra
See also