/Doc/tutorial/index.rst

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  1. .. _tutorial-index:
  2. ######################
  3. The Python Tutorial
  4. ######################
  5. :Release: |version|
  6. :Date: |today|
  7. Python is an easy to learn, powerful programming language. It has efficient
  8. high-level data structures and a simple but effective approach to
  9. object-oriented programming. Python's elegant syntax and dynamic typing,
  10. together with its interpreted nature, make it an ideal language for scripting
  11. and rapid application development in many areas on most platforms.
  12. The Python interpreter and the extensive standard library are freely available
  13. in source or binary form for all major platforms from the Python Web site,
  14. http://www.python.org/, and may be freely distributed. The same site also
  15. contains distributions of and pointers to many free third party Python modules,
  16. programs and tools, and additional documentation.
  17. The Python interpreter is easily extended with new functions and data types
  18. implemented in C or C++ (or other languages callable from C). Python is also
  19. suitable as an extension language for customizable applications.
  20. This tutorial introduces the reader informally to the basic concepts and
  21. features of the Python language and system. It helps to have a Python
  22. interpreter handy for hands-on experience, but all examples are self-contained,
  23. so the tutorial can be read off-line as well.
  24. For a description of standard objects and modules, see the Python Library
  25. Reference document. The Python Reference Manual gives a more formal definition
  26. of the language. To write extensions in C or C++, read Extending and Embedding
  27. the Python Interpreter and Python/C API Reference. There are also several books
  28. covering Python in depth.
  29. This tutorial does not attempt to be comprehensive and cover every single
  30. feature, or even every commonly used feature. Instead, it introduces many of
  31. Python's most noteworthy features, and will give you a good idea of the
  32. language's flavor and style. After reading it, you will be able to read and
  33. write Python modules and programs, and you will be ready to learn more about the
  34. various Python library modules described in the Python Library Reference.
  35. The :ref:`glossary` is also worth going through.
  36. .. toctree::
  37. :numbered:
  38. appetite.rst
  39. interpreter.rst
  40. introduction.rst
  41. controlflow.rst
  42. datastructures.rst
  43. modules.rst
  44. inputoutput.rst
  45. errors.rst
  46. classes.rst
  47. stdlib.rst
  48. stdlib2.rst
  49. whatnow.rst
  50. interactive.rst
  51. floatingpoint.rst