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Syntax for python programming

Содержание
  1. Python Syntax
  2. On this page
  3. Python Indentation
  4. Example
  5. Example
  6. Example
  7. Example
  8. Python Variables
  9. Example
  10. Comments
  11. Example
  12. COLOR PICKER
  13. Report Error
  14. Thank You For Helping Us!
  15. The Python Tutorial¶
  16. The Python Language Reference¶

Python Syntax

As we learned in the previous page, Python syntax can be executed by writing directly in the Command Line:

On this page

Or by creating a python file on the server, using the .py file extension, and running it in the Command Line:

Python Indentation

Indentation refers to the spaces at the beginning of a code line.

Where in other programming languages the indentation in code is for readability only, the indentation in Python is very important.

Python uses indentation to indicate a block of code.

Example

Python will give you an error if you skip the indentation:

Example

The number of spaces is up to you as a programmer, the most common use is four, but it has to be at least one.

Example

You have to use the same number of spaces in the same block of code, otherwise Python will give you an error:

Example

Python Variables

In Python, variables are created when you assign a value to it:

Example

Python has no command for declaring a variable.

You will learn more about variables in the Python Variables chapter.

Comments

Python has commenting capability for the purpose of in-code documentation.

Comments start with a #, and Python will render the rest of the line as a comment:

Example

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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. Strings
        • 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
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