Python for Mac OS X
![Python for mac high sierra Python for mac high sierra](/uploads/1/3/4/3/134312430/794795592.png)
Python comes pre-installed on Mac OS X so it is easy to startusing. However, to take advantage of the latest versions ofPython, you will need to download and install newer versionsalongside the system ones. The easiest way to do that is toinstall one of the binary installers for OS X from thePython Download page. Installers areavailable for the latest Python 3 and Python 2 releases thatwill work on all Macs that run Mac OS X 10.5 and later.
Download links are directly from our mirrors or publisher's website, python for mac torrent files or shared files from free file sharing and free upload services, including Rapidshare, MegaUpload, YouSendIt, Letitbit, DropSend, MediaMax, HellShare, HotFile, FileServe, LeapFile, MyOtherDrive or MediaFire, are not allowed! 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. The methods for installing Python and setting up Python projects outlined below are available only via the command line. We'll provide the exact the commands you will need to execute, along with the proper arguments and options. You're encouraged to copy this input from the code snippet boxes, like this one: ls -a.
Python releases include IDLE, Python's built-in interactivedevelopment environment. If you download and install Pythonfrom the release page, you may also need to download and installa newer version of Tcl/Tk for OS X. See theIDLE and Tkinter on OS X page formore information.
You can run a Python interpreter by double-clicking onApplications / Utilities / Terminal and typing python3 (if you'veinstalled a version of Python 3) or python (to use Python 2) inthe window that opens up. You can also launch IDLE for the Pythonversion you have installed by double-clicking its icon inthe appropriate Python version folder in the Applications folderor you can also just type idle3 or idle in a terminal window.
There are many thousands of additional Python software packagesavailable through PyPI, the PythonPackage Index. We recommend you use thepip tool to simplifyinstalling and managing additional packages. pip is includedwith Python 3.4 releases; for earlier releases, follow the pipinstall instructions.
Among the packages available through PyPI are some that arespecifically for OS X environments. Among these are: How to format my passport for mac.
- pyobjc which providesa bridge between Python and Objective-C, allowing you to writefull-featured native Cocoa applications in pure Python.
- py2app which allowsyou to make standalone OS X double-clickable application bundlesand plugins from Python scripts.
For more information about Python on OS X, see the mailing list and archivesfor thePython-Macintosh Special Interest Group.
Alternative Packages for Mac OS X.
- ActiveState ActivePython(commercial and community versions, including scientific computing modules).
- Enthought Python DistributionThe Enthought Python Distribution provides scientists with a comprehensive setof tools to perform rigorous data analysis and visualization.
Python and a comprehensive set of third-party packages and libraries are alsoavailable from several open source package manager projects for OS X,including: https://tmryssc.weebly.com/torrenting-software-for-mac.html.
Download version 3.2.1 for |
Windows • Mac • |
For the curious: 3.2.3 |
![Science Science](/uploads/1/3/4/3/134312430/752026119.png)
Features
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. Recipe software for mac. |
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!
Python For Machine Learning And Ai
These are some known Thonny plug-ins: