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Python examples and tutorials

Содержание
  1. Python Tutorial
  2. Learning by Examples
  3. Example
  4. Python File Handling
  5. Python Database Handling
  6. Python Exercises
  7. Python Examples
  8. Python Quiz
  9. My Learning
  10. Python Reference
  11. Download Python
  12. Python Exam — Get Your Diploma!
  13. Kickstart your career
  14. COLOR PICKER
  15. Report Error
  16. Thank You For Helping Us!
  17. The Python Tutorial¶
  18. Python Examples
  19. 1. Tutorials
  20. Basics
  21. Collections
  22. Advanced
  23. Python Modules
  24. 2. Exercises
  25. 3. Challenges
  26. Python Online Compiler
  27. Other Tutorials

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

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Python Reference

You will also find complete function and method references:

Download Python

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The Python Tutorial¶

Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python web site, https://www.python.org/, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation.

The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications.

This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. It helps to have a Python interpreter handy for hands-on experience, but all examples are self-contained, so the tutorial can be read off-line as well.

For a description of standard objects and modules, see The Python Standard Library . The Python Language Reference gives a more formal definition of the language. To write extensions in C or C++, read Extending and Embedding the Python Interpreter and Python/C API Reference Manual . There are also several books covering Python in depth.

This tutorial does not attempt to be comprehensive and cover every single feature, or even every commonly used feature. Instead, it introduces many of Python’s most noteworthy features, and will give you a good idea of the language’s flavor and style. After reading it, you will be able to read and write Python modules and programs, and you will be ready to learn more about the various Python library modules described in The Python Standard Library .

The Glossary is also worth going through.

  • 1. Whetting Your Appetite
  • 2. Using the Python Interpreter
    • 2.1. Invoking the Interpreter
      • 2.1.1. Argument Passing
      • 2.1.2. Interactive Mode
      • 2.2.1. Source Code Encoding
      • 3.1. Using Python as a Calculator
        • 3.1.1. Numbers
        • 3.1.2. Text
        • 3.1.3. Lists
        • 4.1. if Statements
        • 4.2. for Statements
        • 4.3. The range() Function
        • 4.4. break and continue Statements, and else Clauses on Loops
        • 4.5. pass Statements
        • 4.6. match Statements
        • 4.7. Defining Functions
        • 4.8. More on Defining Functions
          • 4.8.1. Default Argument Values
          • 4.8.2. Keyword Arguments
          • 4.8.3. Special parameters
            • 4.8.3.1. Positional-or-Keyword Arguments
            • 4.8.3.2. Positional-Only Parameters
            • 4.8.3.3. Keyword-Only Arguments
            • 4.8.3.4. Function Examples
            • 4.8.3.5. Recap
            • 5.1. More on Lists
              • 5.1.1. Using Lists as Stacks
              • 5.1.2. Using Lists as Queues
              • 5.1.3. List Comprehensions
              • 5.1.4. Nested List Comprehensions
              • 6.1. More on Modules
                • 6.1.1. Executing modules as scripts
                • 6.1.2. The Module Search Path
                • 6.1.3. “Compiled” Python files
                • 6.4.1. Importing * From a Package
                • 6.4.2. Intra-package References
                • 6.4.3. Packages in Multiple Directories
                • 7.1. Fancier Output Formatting
                  • 7.1.1. Formatted String Literals
                  • 7.1.2. The String format() Method
                  • 7.1.3. Manual String Formatting
                  • 7.1.4. Old string formatting
                  • 7.2.1. Methods of File Objects
                  • 7.2.2. Saving structured data with json
                  • 8.1. Syntax Errors
                  • 8.2. Exceptions
                  • 8.3. Handling Exceptions
                  • 8.4. Raising Exceptions
                  • 8.5. Exception Chaining
                  • 8.6. User-defined Exceptions
                  • 8.7. Defining Clean-up Actions
                  • 8.8. Predefined Clean-up Actions
                  • 8.9. Raising and Handling Multiple Unrelated Exceptions
                  • 8.10. Enriching Exceptions with Notes
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