Python For Beginners Mac

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Downloading Python

Before you start, you will need Python on your computer.

Check whether you already have an up to date version of Python installed by entering python in a command line window. If you see a response from a Python interpreter it will include a version number in its initial display. Generally any Python 3.x version will do, as Python makes every attempt to maintain backwards compatibility within major Python versions. Python 2.x and Python 3.x are intentionally not fully compatible. If python starts a Python 2.x interpreter, try entering python3 and see if an up to date version is already installed.

PyCharm is a professional IDE Suite which is offered in two different versions.

On Windows, try py first - this is the relatively recent Python Launcher, which has a better chance of avoiding some of the path problems that might occur because on Windows programs don't install into any of the small set of common locations that are searched by default. The Python launcher can also let you select any of the various versions you may have installed from a single command.

If you need to install Python, you may as well download the most recent stable version. This is the one with the highest number that isn't marked as an alpha or beta release. Please see the Python downloads page for the most up to date versions of Python. They are available via the yellow download buttons on that page.

Windows

The most stable Windows downloads are available from the Python for Windows page. On Windows you have a choice between 32-bit (labeled x86) and and 64-bit (labeled x86-64) versions, and several flavors of installer for each. The Python core team thinks there should be a default you don't have to stop and think about, so the yellow download button on the main download page gets you the 'x86 executable installer' choice. This is actually a fine choice: you don't need the 64-bit version even if you have 64-bit Windows, the 32-bit Python will work just fine.

If you're running Windows XP: a complete guide to installing ActivePython is at Python on XP: 7 Minutes To 'Hello World!'. ShowMeDo has two videos for downloading, installing and getting started with Python on a Windows XP machine - this series talks you through the Python, ActivePython and SciPy distributions. Note that the python.org releases only support versions of Windows that are supported by Microsoft (at the time of the release), so no recent release from python.org can be used on WIndows XP.

Mac

See the Python for Mac OS X page. MacOS from 10.2 (Jaguar) to 10.15 (Catalina) includes a system version of Python 2, but it is best not to consider this the Python to use for your programming tasks - install a current Python 3.x version instead. MacOS after 10.15 (Catalina) will not include a default system Python.

Linux

For Red Hat, CentOS or Fedora, install the python3 and python3-devel packages.

For Debian or Ubuntu, install the python3.x and python3.x-dev packages.

For Gentoo, install the '=python-3.x*' ebuild (you may have to unmask it first).

For other systems, or if you want to install from source, see the general download page.

New to programming? Python is free and easy to learn if you know where to start! This guide will help you to get started quickly.

Chinese Translation

New to Python?

Read BeginnersGuide/Overview for a short explanation of what Python is.

Getting Python

Next, install the Python 3 interpreter on your computer. This is the program that reads Python programs and carries out their instructions; you need it before you can do any Python programming. Mac and Linux distributions may include an outdated version of Python (Python 2), but you should install an updated one (Python 3). See BeginnersGuide/Download for instructions to download the correct version of Python.

There are also Python interpreter and IDE bundles available, such as Thonny. Other options can be found at IntegratedDevelopmentEnvironments.

At some stage, you'll want to edit and save your program code. Take a look at HowToEditPythonCode for some advice and recommendations.

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Learning Python

Next, read a tutorial and try some simple experiments with your new Python interpreter.

  • If you have never programmed before, see BeginnersGuide/NonProgrammers for a list of suitable tutorials.

  • If you have previous programming experience, consult BeginnersGuide/Programmers, which lists more advanced tutorials.

  • If English isn't your first language, you might be more comfortable with a tutorial that's been translated into your language. Consult python.org's list of Non-English resources.

Most tutorials assume that you know how to run a program on your computer. If you are using Windows and need help with this, see How do I Run a Program Under Windows.

Some sites offer in-browser coding for those who want to learn Python:

  • Codecademy

  • Coding Bootcamps

  • DataCamp

  • Dataquest for Python for data science.

  • HackInScience free and open source platform.

  • High School Technology Services for general Python

Print a cheat sheet of the most important Python features and post it to your office wall until you know the basics well.

Once you have read a tutorial, you can browse through Python's online documentation. It includes a tutorial that might come in handy, a Library Reference that lists all of the modules that come standard with Python, and the Language Reference for a complete (if rather dry) explanation of Python's syntax.

When you are ready to write your first program, you will need a text editor or an IDE. If you don't want to use Thonny or something more advanced, then you can use IDLE, which is bundled with Python and supports extensions.

This Python wiki also contains a page about Python One-Liners -- an obscure but interesting subculture in Python.

Need Help?

Need help with any of this? Read BeginnersGuide/Help for mailing lists and newsgroups.

Most Python books will include an introduction to the language; see IntroductoryBooks for suggested titles.

Consult BeginnersGuide/Examples for small programs and little snippets of code that can help you learn.

Or, if you prefer to learn Python through listening to a lecture, you can attend a training course or even hire a trainer to come to your company. Consult the PythonEvents page to see if any training courses are scheduled in your area and the PythonTraining page for a list of trainers.

Beginners

Teachers can join the EDU-SIG, a mailing list for discussion of Python's use in teaching at any level ranging from K-12 up to university.

Complete list of Beginner's Guide pages

Quiz and Exercises

  • Finxter - How good are your Python skills? Test and Training with a Daily Python Puzzle

  • CheckIO - Online learning, testing and improving your python skills

  • After Hours Programming - Python Quiz

  • Python Guru Quiz- Python Quiz

  • Pyschools - A Collection of Python Quiz and Exercise Questions

  • PyGUI - Collection of python quiz answers, Examples And GUI Tkinter Tutorials For Beginners

  • Pythonspot - Python Quiz

  • Python Challenge - A Python Quiz App on Android Platform

  • CS Circles - online lessons and graded exercises

Python Style Checker

  • Pythonchecker.com - An educative online tool to rate your Python style (with dynamic score computation and hints)

Looking for a particular Python module or application?

  • The first place to look is the Python Package Index.

  • If you can't find anything relevant in the Package Index,

    try searching python.org - you can find anything mentioned on the Python site, in the FAQs, or in the newsgroup. More info: where to search.

  • You may also try our external guest project, pydoc.net, for advanced package and module search.

  • Next, try Google or another search engine of your choice. Searching for 'python' and some relevant keywords will usually find something helpful.

  • Finally, you can try posting a query to the comp.lang.python Usenet group.

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Python-Related Cheat Sheets

  • Python: Collection of 11 Best Python Cheat Sheets

  • NumPy: Collection of 10 Best NumPy Cheat Sheets

  • Pandas: Collection of 7 Beautiful Pandas Cheat Sheets

  • Machine Learning: Collection of 15 Machine Learning Cheat Sheets

Want to contribute?

  • Python is a product of the Python Software Foundation, a non-profit organization that holds the copyright. Donations to the PSF are tax-deductible in the USA, and you can donate via credit card or PayPal.

  • To report a bug in the Python core, use the Python Bug Tracker.

  • To contribute a bug fix or other patch to the Python core, read the Python Developer's Guide for more information about Python's development process.

  • To contribute to the official Python documentation, join the Documentation SIG, write to docs@python.org , or use the Issue Tracker to contribute a documentation patch.

  • To announce your module or application to the Python community, use comp.lang.python.announce. See the guide to Python mailing lists for more information.

  • To propose changes to the Python core, post your thoughts to comp.lang.python. If you have an implementation, follow the Python Patch Guidelines.

  • If you have a question are not sure where to report it, check out the WhereDoIReportThis? page.

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