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Python on a Macintosh running Mac OS X is in principle very similar to Python onany other Unix platform, but there are a number of additional features such asthe IDE and the Package Manager that are worth pointing out.

4.1. Getting and Installing MacPython¶

Mac OS X 10.8 comes with Python 2.7 pre-installed by Apple. If you wish, youare invited to install the most recent version of Python 3 from the Pythonwebsite (https://www.python.org). A current 'universal binary' build of Python,which runs natively on the Mac's new Intel and legacy PPC CPU's, is availablethere.

What you get after installing is a number of things:

• A Python3.9 folder in your Applications folder. In hereyou find IDLE, the development environment that is a standard part of officialPython distributions; and PythonLauncher, which handles double-clicking Pythonscripts from the Finder.

• A framework /Library/Frameworks/Python.framework, which includes thePython executable and libraries. The installer adds this location to your shellpath. To uninstall MacPython, you can simply remove these three things. Asymlink to the Python executable is placed in /usr/local/bin/.

The Apple-provided build of Python is installed in/System/Library/Frameworks/Python.framework and /usr/bin/python,respectively. You should never modify or delete these, as they areApple-controlled and are used by Apple- or third-party software. Remember thatif you choose to install a newer Python version from python.org, you will havetwo different but functional Python installations on your computer, so it willbe important that your paths and usages are consistent with what you want to do.

IDLE includes a help menu that allows you to access Python documentation. If youare completely new to Python you should start reading the tutorial introductionin that document.

If you are familiar with Python on other Unix platforms you should read thesection on running Python scripts from the Unix shell.

4.1.1. How to run a Python script¶

Your best way to get started with Python on Mac OS X is through the IDLEintegrated development environment, see section The IDE and use the Help menuwhen the IDE is running.

If you want to run Python scripts from the Terminal window command line or fromthe Finder you first need an editor to create your script. Mac OS X comes with anumber of standard Unix command line editors, vim andemacs among them. If you want a more Mac-like editor,BBEdit or TextWrangler from Bare Bones Software (seehttp://www.barebones.com/products/bbedit/index.html) are good choices, as isTextMate (see https://macromates.com/). Other editors includeGvim (http://macvim-dev.github.io/macvim/) and Aquamacs(http://aquamacs.org/).

To run your script from the Terminal window you must make sure that/usr/local/bin is in your shell search path.

To run your script from the Finder you have two options:

• Drag it to PythonLauncher

• Select PythonLauncher as the default application to open yourscript (or any .py script) through the finder Info window and double-click it.PythonLauncher has various preferences to control how your script islaunched. Option-dragging allows you to change these for one invocation, or useits Preferences menu to change things globally.

4.1.2. Running scripts with a GUI¶

With older versions of Python, there is one Mac OS X quirk that you need to beaware of: programs that talk to the Aqua window manager (in other words,anything that has a GUI) need to be run in a special way. Use pythonwinstead of python to start such scripts.

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With Python 3.9, you can use either python or pythonw.

4.1.3. Configuration¶

Python on OS X honors all standard Unix environment variables such asPYTHONPATH, but setting these variables for programs started from theFinder is non-standard as the Finder does not read your .profile or.cshrc at startup. You need to create a file~/.MacOSX/environment.plist. See Apple's Technical Document QA1067 fordetails.

For more information on installation Python packages in MacPython, see sectionInstalling Additional Python Packages.

4.2. The IDE¶

MacPython ships with the standard IDLE development environment. A goodintroduction to using IDLE can be found athttp://www.hashcollision.org/hkn/python/idle_intro/index.html.

4.3. Installing Additional Python Packages¶

There are several methods to install additional Python packages:

• Packages can be installed via the standard Python distutils mode (pythonsetup.pyinstall).

• Many packages can also be installed via the setuptools extensionor pip wrapper, see https://pip.pypa.io/.

4.4. GUI Programming on the Mac¶

There are several options for building GUI applications on the Mac with Python.

PyObjC is a Python binding to Apple's Objective-C/Cocoa framework, which isthe foundation of most modern Mac development. Information on PyObjC isavailable from https://pypi.org/project/pyobjc/.

The standard Python GUI toolkit is tkinter, based on the cross-platformTk toolkit (https://www.tcl.tk). An Aqua-native version of Tk is bundled with OSX by Apple, and the latest version can be downloaded and installed fromhttps://www.activestate.com; it can also be built from source.

wxPython is another popular cross-platform GUI toolkit that runs natively onMac OS X. Packages and documentation are available from https://www.wxpython.org.

PyQt is another popular cross-platform GUI toolkit that runs natively on MacOS X. More information can be found athttps://riverbankcomputing.com/software/pyqt/intro.

4.5. Distributing Python Applications on the Mac¶

The standard tool for deploying standalone Python applications on the Mac ispy2app. More information on installing and using py2app can be foundat http://undefined.org/python/#py2app.

4.6. Other Resources¶

The MacPython mailing list is an excellent support resource for Python users anddevelopers on the Mac: Advanced rar recovery mac.

Another useful resource is the MacPython wiki:

To get started with Pyzo, you need to install the Pyzo IDE (in whichyou write your code) and a Python environment (in which you run your code).

Step 1: install the Pyzo IDE

Most users can select one of these:

• Windows: Pyzo installer (64bit)
• macOS: Pyzo dmg (macOS 10.13 High Sierra or higher)
• Linux: Pyzo tarball (build on Ubuntu 18.04, 64bit).

Otherwise, see all releasesfor more downloads (e.g. 32/64 bit Windows zipfiles, and older versions).Linux users can also install Pyzo using Linux system packages.See the installation page for more information.

Step 2: install Python environment

To run Python code, you need a Python interpreter.Pyzo works with most Python interpreters. If you're not sure what touse, don't worry, you can install multiple environments side-by-side, anduse each one from Pyzo. Just make sure to use Python 3 (not Python 2).

We recommend starting with either of these:

• The regular Python. Additional packages can be installed using pip.
• The Anaconda distribution comes with a lot of scientific packages.
• The Miniconda distribution is a lighter version that starts with fewer packages. Additional packages can be installed using conda or pip.

We recommend installing in the default location, or at least a locationthat can be written to without admin privileges, so that addtionalpackages can be installed.

Step 3: Configure Pyzo shell

In Pyzo you can configure one or more shells to target your Pythonenvironment(s). Pyzo is usually pretty good at detecting any installedPython environments, and will try to guide you to selecting a suitableone.

Step 4: Install additional packages

Depending on you needs, you might need a few extra packages. In Pyzo's shell, type:

Hooray, you just installed a new package! For details see this guide.For scienctific computing, you may want to install this set of the most important scientific packages (a.k.a. the scipy-stack):

Further steps

You should now be set up to start coding! You can also learn more aboutusing the IDE and about using Python.

Updating

Pyzo and the Python environment can safely be updated/reinstalled independently from each-other.Similarly, you can install multiple Python environments and use/manage them all via Pyzo.Individual packages within a Python environment can be updated via update package_name.

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