- Welcome
- Learn the Basics
- Data Science Tutorials
- Advanced Tutorials
- Other Python Tutorials
- Contributing Tutorials
- Python For Beginners
- Installing
- Learning
- Looking for Something Specific?
- Frequently Asked Questions
- Looking to Help?
- The PSF
- Python Tutorial
- Learning by Examples
- Example
- Python File Handling
- Python Database Handling
- Python Exercises
- Python Examples
- Python Quiz
- My Learning
- Python Reference
- Download Python
- Python Exam — Get Your Diploma!
- Kickstart your career
- COLOR PICKER
- Report Error
- Thank You For Helping Us!
- Python Tutorial
- What is Python?
- Why Learn Python?
- Getting Started with Python Tutorial
- Python Basics
- Input/Output
Welcome
Welcome to the LearnPython.org interactive Python tutorial.
Whether you are an experienced programmer or not, this website is intended for everyone who wishes to learn the Python programming language.
You are welcome to join our group on Facebook for questions, discussions and updates.
After you complete the tutorials, you can get certified at LearnX and add your certification to your LinkedIn profile.
Just click on the chapter you wish to begin from, and follow the instructions. Good luck!
Learn the Basics
- Hello, World!
- Variables and Types
- Lists
- Basic Operators
- String Formatting
- Basic String Operations
- Conditions
- Loops
- Functions
- Classes and Objects
- Dictionaries
- Modules and Packages
Data Science Tutorials
Advanced Tutorials
- Generators
- List Comprehensions
- Lambda functions
- Multiple Function Arguments
- Regular Expressions
- Exception Handling
- Sets
- Serialization
- Partial functions
- Code Introspection
- Closures
- Decorators
- Map, Filter, Reduce
Other Python Tutorials
- DataCamp has tons of great interactive Python Tutorials covering data manipulation, data visualization, statistics, machine learning, and more
- Read Python Tutorials and References course from After Hours Programming
Contributing Tutorials
This site is generously supported by DataCamp. DataCamp offers online interactive Python Tutorials for Data Science. Join over a million other learners and get started learning Python for data science today!
Ready to take the test? Head onto LearnX and get your Python Certification!
Python For Beginners
Welcome! Are you completely new to programming? If not then we presume you will be looking for information about why and how to get started with Python. Fortunately an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It’s also easy for beginners to use and learn, so jump in!
Installing
Installing Python is generally easy, and nowadays many Linux and UNIX distributions include a recent Python. Even some Windows computers (notably those from HP) now come with Python already installed. If you do need to install Python and aren’t confident about the task you can find a few notes on the BeginnersGuide/Download wiki page, but installation is unremarkable on most platforms.
Learning
Before getting started, you may want to find out which IDEs and text editors are tailored to make Python editing easy, browse the list of introductory books, or look at code samples that you might find helpful.
There is a list of tutorials suitable for experienced programmers on the BeginnersGuide/Tutorials page. There is also a list of resources in other languages which might be useful if English is not your first language.
The online documentation is your first port of call for definitive information. There is a fairly brief tutorial that gives you basic information about the language and gets you started. You can follow this by looking at the library reference for a full description of Python’s many libraries and the language reference for a complete (though somewhat dry) explanation of Python’s syntax. If you are looking for common Python recipes and patterns, you can browse the ActiveState Python Cookbook
Looking for Something Specific?
If you want to know whether a particular application, or a library with particular functionality, is available in Python there are a number of possible sources of information. The Python web site provides a Python Package Index (also known as the Cheese Shop, a reference to the Monty Python script of that name). There is also a search page for a number of sources of Python-related information. Failing that, just Google for a phrase including the word »python» and you may well get the result you need. If all else fails, ask on the python newsgroup and there’s a good chance someone will put you on the right track.
Frequently Asked Questions
If you have a question, it’s a good idea to try the FAQ, which answers the most commonly asked questions about Python.
Looking to Help?
If you want to help to develop Python, take a look at the developer area for further information. Please note that you don’t have to be an expert programmer to help. The documentation is just as important as the compiler, and still needs plenty of work!
The PSF
The Python Software Foundation is the organization behind Python. Become a member of the PSF and help advance the software and our mission.
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Python Tutorial
Python can be used on a server to create web applications.
Learning by Examples
With our «Try it Yourself» editor, you can edit Python code and view the result.
Example
Click on the «Try it Yourself» button to see how it works.
Python File Handling
In our File Handling section you will learn how to open, read, write, and delete files.
Python Database Handling
In our database section you will learn how to access and work with MySQL and MongoDB databases:
Python Exercises
Python Examples
Learn by examples! This tutorial supplements all explanations with clarifying examples.
Python Quiz
Test your Python skills with a quiz.
My Learning
Track your progress with the free «My Learning» program here at W3Schools.
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Python Reference
You will also find complete function and method references:
Download Python
Download Python from the official Python web site: https://python.org
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Python Tutorial
This Python Tutorial is very well suited for Beginners, and also for experienced programmers with other programming languages like C++ and Java. This specially designed Python tutorial will help you learn Python Programming Language in the most efficient way, with topics from basics to advanced (like Web-scraping, Django, Deep-Learning, etc.) with examples.
What is Python?
Python is a high-level, general-purpose, and very popular programming language. Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting-edge technology in Software Industry.
Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.
The biggest strength of Python is huge collection of standard library which can be used for the following:
- Machine Learning
- GUI Applications (like Kivy, Tkinter, PyQt etc. )
- Web frameworks like Django (used by YouTube, Instagram, Dropbox)
- Image processing (like OpenCV, Pillow)
- Web scraping (like Scrapy, BeautifulSoup, Selenium)
- Test frameworks
- Multimedia
- Scientific computing
- Text processing and many more..
Why Learn Python?
Python is currently the most widely used multi-purpose, high-level programming language, which allows programming in Object-Oriented and Procedural paradigms. Python programs generally are smaller than other programming languages like Java. Programmers have to type relatively less and the indentation requirement of the language, makes them readable all the time.
Getting Started with Python Tutorial
Here are the important topics that come under Python. After completing all the important topics, you’ll have a basic understanding of the Python programming language:-
Python Basics
- Python language introduction
- Python 3 basics
- Python The new generation language
- Important difference between python 2.x and python 3.x with example
- Keywords in Python | Set 1, Set 2
- Namespaces and Scope in Python
- Statement, Indentation and Comment in Python
- Structuring Python Programs
- How to check if a string is a valid keyword in Python?
- How to assign values to variables in Python and other languages
- How to print without newline in Python?
- Decision making
- Basic calculator program using Python
- Python Language advantages and applications
Input/Output
