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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.
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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. [[BeginnersGuideChinese|Chinese Translation/中文版入门]]
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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 Mac and Linux distributions may include an outdated version of Python (Python 2), but you should install an updated one (Python 3).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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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.

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. At the time of writing (21 Jun 2010), the rest of this page assumes you've decided to use Python 2.

See [[BeginnersGuide/Download]] for instructions for downloading 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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      * If you've 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 [[http://wiki.python.org/moin/Languages|list of Non-English resources]].		  * 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 [[Languages|list of Non-English resources]].
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Most tutorials assume 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]].		 Most tutorials assume 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]].
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Once you've read a tutorial, you can browse through
[[http://docs.python.org|Python's online documentation]].
It includes [[http://docs.python.org/tut/|a tutorial]]
that may be helpful, [[http://docs.python.org//lib/|a Library Reference]] that lists all of the modules that come
standard with Python, and [[http://docs.python.org/ref/|the Language Reference]] for a complete (if rather dry) explanation of Python's syntax.		 Here are some sites that focus on beginners and offer in-browser coding:
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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.		 /* Please keep these links sorted alphabetically */

 * [[https://python.land/python-tutorial|Beginners Python tutorial]] at Python Land (free)

 * [[https://www.codedex.io/python|Codédex]] (non-free)

/* Outdated, Python 2! * [[https://www.codecademy.com/learn/learn-python|Codecademy]] */

 * [[https://www.coding-bootcamps.com|Coding Bootcamps]] (non-free)

 * [[https://www.datacamp.com|DataCamp]] (non-free)

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

 * [[https://genepy.org|Genepy]] interactive exercises (free, open source, no ads)

 * [[https://www.myhsts.org|High School Technology Services]] for general Python (non-free)

 * [[https://labex.io|LabEx]] Python Hands-on Labs (freemium)

Once you have read a tutorial, you can browse through [[http://docs.python.org|Python's online documentation]]. It includes [[http://docs.python.org/tut/|a tutorial]] that might come in handy, [[http://docs.python.org//lib/|a Library Reference]] that lists all of the modules that come standard with Python, and [[http://docs.python.org/ref/|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 [[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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Need help with any of this? Read [[BeginnersGuide/Help]] for mailing lists and newsgroups.
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Need help with any of this? Read [[BeginnersGuide/Help]] for mailing lists and newsgroups. An interactive and free way to learn Python is to ask ChatGPT or another generative AI model for help. The Python code quality generated by AI agents has become pretty good. State-of-the-art AI models work especially well for small projects or code understanding questions.
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Consult [[BeginnersGuide/Examples]] for small
programs and little snippets of code that can help you learn.		 Consult [[BeginnersGuide/Examples]] for small programs and little snippets of code that can help you learn.
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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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 * Pyschools - [[http://www.pyschools.com|A Collection of Python Quiz and Exercise Questions]]
 		  * After Hours Programming - [[http://www.afterhoursprogramming.com/tutorial/Python/Python-Quiz/|Python Quiz]]
 * CheckIO - [[http://www.checkio.org|Online learning, testing and improving your python skills]]
 * CS Circles - [[http://cscircles.cemc.uwaterloo.ca|Online lessons and graded exercises]]
 * Finxter - [[https://finxter.com|How good are your Python skills? Test and Training with a Daily Python Puzzle]]
 * LabEx - [[https://labex.io/courses/thousands-python-interactive-challenges|1000+ Python Interactive Challenges]]
 * PyGUI - [[http://www.pythongui.com|Collection of python quiz answers, Examples And GUI Tkinter Tutorials For Beginners]]
 * Pythonspot - [[https://pythonspot.com/python-tests-quizes/|Python Quiz]]
 * Python Challenge - [[https://play.google.com/store/apps/details?id=sg.apps.garden.pythonchallenge|A Python Quiz App on Android Platform]]

== Python Based AI and Prompt Engineering ==
 * AI Engineering Academy - [[https://academy.finxter.com|Become a Certified AI Engineer with OpenAI API, HuggingFace, and Llama]]
 * Generative AI Tutorial - [[https://www.w3schools.com/gen_ai/|Generative AI Tutorial]]
 * GitHub Prompt Engineering Guide - [[https://github.com/finxter/AI-Engineering-Learning-Resources|List of helpful resources]]
 * Google Gemini (Python) - [[https://github.com/google-gemini/generative-ai-python|Python Library to access Google's Gemini Model]]
 * OpenAI API (Python) - [[https://platform.openai.com/docs/quickstart|Quickstart to Access OpenAI's API (Python, Javascript, curl)]]
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 try [[http://www.python.org/search/|searching python.org]] - you can
 find anything mentioned on the Python site, in the [[http://www.python.org/doc/faq/|FAQs]], or in the
 newsgroup. More info: [[http://www.python.org/search/|where to search]].		  try [[http://www.python.org/search/|searching python.org]] - you can find anything mentioned on the Python site, in the [[http://www.python.org/doc/faq/|FAQs]], or in the newsgroup. More info: [[http://www.python.org/search/|where to search]].
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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]]
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 * 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 contribute to the official [[http://www.python.org/doc/|Python documentation]], join the [[http://www.python.org/sigs/doc-sig/|Documentation SIG]], write to docs@python.org, or use the [[http://bugs.python.org/|Issue Tracker]] to contribute a documentation patch.  * To contribute to the official [[http://www.python.org/doc/|Python documentation]], join the [[http://www.python.org/sigs/doc-sig/|Documentation SIG]], write to docs@python.org , or use the [[http://bugs.python.org/|Issue Tracker]] to contribute a documentation patch.
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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]].

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

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/中文版入门

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 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.

Here are some sites that focus on beginners and offer in-browser coding:

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.

An interactive and free way to learn Python is to ask ChatGPT or another generative AI model for help. The Python code quality generated by AI agents has become pretty good. State-of-the-art AI models work especially well for small projects or code understanding questions.

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

  1. BeginnersGuide/Download
  2. BeginnersGuide/Examples
  3. BeginnersGuide/Help
  4. BeginnersGuide/Mathematics
  5. BeginnersGuide/NonProgrammers
  6. BeginnersGuide/NonProgrammersChinese
  7. BeginnersGuide/Overview
  8. BeginnersGuide/OverviewChinese
  9. BeginnersGuide/Programmers
  10. BeginnersGuide/Programmers (Cpp2Python.pdf)
  11. BeginnersGuide/Programmers/SimpleExamples

Quiz and Exercises

Python Based AI and Prompt Engineering

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.

  • 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?

CategoryDocumentation

BeginnersGuide (last edited 2025-03-07 01:13:11 by MaciejOlko)

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