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NB! Windows installer is signed with new identity and you may receive a warning dialog from Defender until it gains more reputation. Just click 'More info' and 'Run anyway'. |
Features
Python 2.6, 2.7 or 3.x - Download from https. Run the command with sudo on Linux and Mac. On Linux if both Python 2.7 and 3.5 are installed, you can install. Gurobi supports Python 2.7 and 3.7 for Mac. Choose the version of Anaconda you wish to download: Anaconda for Mac. Once the download has completed, double click on the downloaded.pkg file and follow the installation instructions. Python 3.2.5 May 15, 2013 Download Release Notes; Python 2.7.5 May 12, 2013 Download Release Notes; Python 3.3.1 April 6, 2013 Download Release Notes; Python 3.2.4 April 6, 2013 Download Release Notes; Python 2.7.4 April 6, 2013 Download Release Notes; Python 3.3.0 Sept. 29, 2012 Download Release Notes; Python 3.2.3 April 10, 2012 Download.
The latest stable version of IronPython is IronPython 2.7.10, which is compatible with Python 2.7. Download IronPython 2.7.10. Mac OS & Linux desktop & server apps. IronPython runs on Mono, a cross platform.
Easy to get started. Thonny comes with Python 3.7 built in, so just one simple installer is needed and you're ready to learn programming. (You can also use a separate Python installation, if necessary.) The initial user interface is stripped of all features that may distract beginners. |
No-hassle variables. Once you're done with hello-worlds, select View → Variables and see how your programs and shell commands affect Python variables. |
Simple debugger. Just press Ctrl+F5 instead of F5 and you can run your programs step-by-step, no breakpoints needed. Press F6 for a big step and F7 for a small step. Steps follow program structure, not just code lines. |
Step through expression evaluation. If you use small steps, then you can even see how Python evaluates your expressions. You can think of this light-blue box as a piece of paper where Python replaces subexpressions with their values, piece-by-piece. |
Faithful representation of function calls. Stepping into a function call opens a new window with separate local variables table and code pointer. Good understanding of how function calls work is especially important for understanding recursion. |
Highlights syntax errors. Unclosed quotes and parentheses are the most common beginners' syntax errors. Thonny's editor makes these easy to spot. |
Explains scopes. Highlighting variable occurrences reminds you that the same name doesn't always mean the same variable and helps spotting typos. Local variables are visually distinguished from globals. |
Mode for explaining references. Variables are initially presented according to simplified model (name → value) but you can switch to more realistic model (name → address/id → value). |
Code completion. Students can explore APIs with the help of code completion. |
Beginner friendly system shell. Select Tools → Open system shell to install extra packages or learn handling Python on command line. PATH and conflicts with other Python interpreters are taken care of by Thonny. |
Simple and clean pip GUI. Select Tools → Manage packages for even easier installation of 3rd party packages. |
Demo
Credits
Main development of Thonny took place in Institute of Computer Science of University of Tartu, Estonia.
Development of several features in Thonny 3.0 was proposed and supported by Raspberry Pi Foundation.
Since September 2018 development of Thonny is partially supported by Cybernetica AS.
We are also grateful for the help of several contributors from the open-source community around the world.
Instructions & downloads
- Installation instructions
Latest stable releases are linked in the download box at the top of this page. Older releases and prereleases can be found at https://github.com/thonny/thonny/releases
Plug-ins
Thonny has simple infrastructure for extensions. Please contact us for details!
These are some known Thonny plug-ins:
Contact & News
Papers
Bob Savage <bobsavage@mac.com>
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.
The Mac-specific modules are documented in Mac OS X specific services.
Python on Mac OS 9 or earlier can be quite different from Python on Unix orWindows, but is beyond the scope of this manual, as that platform is no longersupported, starting with Python 2.4. See http://www.cwi.nl/~jack/macpython forinstallers for the latest 2.3 release for Mac OS 9 and related documentation.
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 from the Python website(https://www.python.org). A current “universal binary” build of Python, whichruns natively on the Mac’s new Intel and legacy PPC CPU’s, is available there.
What you get after installing is a number of things:
- A
MacPython2.7
folder in yourApplications
folder. In hereyou find IDLE, the development environment that is a standard part of officialPython distributions; PythonLauncher, which handles double-clicking Pythonscripts from the Finder; and the “Build Applet” tool, which allows you topackage Python scripts as standalone applications on your system. - 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.org) 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.
With Python 2.7, you can use either python or pythonw.
4.1.3. Configuration¶
Python on OS X honors all standard Unix environment variables such as
PYTHONPATH
, 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 athttps://hkn.eecs.berkeley.edu/~dyoo/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://pythonhosted.org/pyobjc/.
![Download Python 2.7 For Mac Download Python 2.7 For Mac](/uploads/1/2/6/3/126351843/400841901.jpg)
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 http://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 “Build Applet” tool that is placed in the MacPython 2.7 folder is fine forpackaging small Python scripts on your own machine to run as a standard Macapplication. This tool, however, is not robust enough to distribute Pythonapplications to other users.
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¶
Download Anaconda Python 2.7 Mac
The MacPython mailing list is an excellent support resource for Python users anddevelopers on the Mac:
Python On Mac
Another useful resource is the MacPython wiki: