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Next, install the Python 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 OSX distributions from 10.3 (Panther) and up, include a version of Python, which, although it can be as much as two years out of date, may be suitable for beginning. Linux distributions also frequently include Python and it is readily upgraded. 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 Mac and Linux distributions may include an outdated version of Python (Python 2), but you should install an updated one (Python 3).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.
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There are also Python interpreter and IDE bundles available, such as Pycharm (See [[https://www.jetbrains.com/pycharm/download/#section=linux|Pycharm download]]). For beginners, there is also [[http://thonny.org|Thonny]], a Python IDE with Python 3.5 built in and with several features that help to lear programming.

There are currently two major versions of Python available: Python 2 and Python 3. The Python2orPython3 page provides advice on how to decide which one will best suit your needs.

See [[BeginnersGuide/Download]] for instructions to download the correct version of Python.
There are also Python interpreter and IDE bundles available, such as [[http://thonny.org|Thonny]]. Other options can be found at IntegratedDevelopmentEnvironments.
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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 [[http://www.python.org/doc/faq/windows/#how-do-i-run-a-python-program-under-windows|How do I Run a Program Under Windows]]. There are also sites that offer in-browser coding for those who want to learn Python: check out [[https://www.codecademy.com|Codecademy]] for general Python or [[http://www.datacamp.com|DataCamp]] for Python for data science. 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 [[http://www.python.org/doc/faq/windows/#how-do-i-run-a-python-program-under-windows|How do I Run a Program Under Windows]].

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

/* please
keep this list alphabetized */

 *
[[https://python.land/python-tutorial|A completely free beginners tutorial with interactive, editable code examples]]

 * [[https://www.codecademy.com/learn/learn-python
|Codecademy]]

 * [[https://coding-bootcamps.com|Coding Bootcamps]]

 *
[[http://www.datacamp.com|DataCamp]]

 * [[https://www.dataquest.io|Dataquest]]
for Python for data science.

 * [[https://www.hackinscience.org|HackInScience]] free and open source platform.

 * [[https://www.myhsts.org|High School Technology Services]] for general Python

Print a [[https://blog.finxter.com/python-cheat-sheet/|cheat sheet]] of the most important Python features and post it to your office wall until you know the basics well.
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When you are ready to write your first program, you will need a text editor. To get started you can use any editor you are familiar with - even something like Notepad - but as you gain experience you may want to use a text editor with features that help you write Python programs. See PythonEditors for a list of programs friendly to Python code editing. When you are ready to write your first program, you will need a [[PythonEditors|text editor]] or an [[IntegratedDevelopmentEnvironments|IDE]]. If you don't want to use Thonny or something more advanced, then you can use [[https://docs.python.org/3/library/idle.html|IDLE]], which is bundled with Python and supports [[http://idlex.sourceforge.net|extensions]].

This Python wiki also contains a page about [[Powerful Python One-Liners|Python One-Liners]] -- an obscure but interesting subculture in Python.
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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. 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.
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 * Finxter - [[https://finxter.com|How good are your Python skills? Test and Training with a Daily Python Puzzle]]
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*PyGUI - [[http://www.pythongui.com | Collection of python Examples And GUI Tkinter Tutorials For Beginners]]   * PyGUI - [[http://www.pythongui.com|Collection of python quiz answers, Examples And GUI Tkinter Tutorials For Beginners]]
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== Python Style Checker ==
 * [[http://pythonchecker.com/|Pythonchecker.com]] - An educative online tool to rate your Python style (with dynamic score computation and hints)
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 * Next, try [[http://www.google.com|Google]] or other search engine of your choice. Searching for "python" and some relevant keywords will usually find something helpful.  * Next, try [[http://www.google.com|Google]] or another search engine of your choice. Searching for "python" and some relevant keywords will usually find something helpful.
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== Python-Related Cheat Sheets ==
 * Python: [[https://blog.finxter.com/collection-5-cheat-sheets-every-python-coder-must-own/|Collection of 11 Best Python Cheat Sheets]]

 * NumPy: [[https://blog.finxter.com/collection-10-best-numpy-cheat-sheets-every-python-coder-must-own/|Collection of 10 Best NumPy Cheat Sheets]]

 * Pandas: [[https://blog.finxter.com/pandas-cheat-sheets/|Collection of 7 Beautiful Pandas Cheat Sheets]]

 * Machine Learning: [[https://blog.finxter.com/machine-learning-cheat-sheets/|Collection of 15 Machine Learning Cheat Sheets]]
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 * To propose changes to the python core, post your thoughts to [[news:comp.lang.python|comp.lang.python]]. If you have an implementation, follow the [[http://www.python.org/patches/|Python Patch Guidelines]].  * To propose changes to the Python core, post your thoughts to [[news:comp.lang.python|comp.lang.python]]. If you have an implementation, follow the [[http://www.python.org/patches/|Python Patch Guidelines]].

Beginner's Guide to Python

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.

Learning Python

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

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:

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.

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

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.

Want to contribute?


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BeginnersGuide (last edited 2023-08-29 20:15:52 by eriky)

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