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. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation.
Python and C++ :
The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). it is also suitable as an extension language for customizable applications.
Python Tutorial :
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.
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
- 3. An Informal Introduction to Python
- 4. More Control Flow Tools
- 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
- 4.8.4. Arbitrary Argument Lists
- 4.8.5. Unpacking Argument Lists
- 4.8.6. Lambda Expressions
- 4.8.7. Documentation Strings
- 4.8.8. Function Annotations
- 4.9. Intermezzo: Coding Style
- 5. Data Structures
- 6. Modules
- 7. Input and Output
- 8. Errors and Exceptions
- 9. Classes
- 9.1. A Word About Names and Objects
- 9.2. Python Scopes and Namespaces
- 9.3. A First Look at Classes
- 9.4. Random Remarks
- 9.5. Inheritance
- 9.6. Private Variables
- 9.7. Odds and Ends
- 9.8. Iterators
- 9.9. Generators
- 9.10. Generator Expressions
- 10. Brief Tour of the Standard Library
- 10.1. Operating System Interface
- 10.2. File Wildcards
- 10.3. Command Line Arguments
- 10.4. Error Output Redirection and Program Termination
- 10.5. String Pattern Matching
- 10.6. Mathematics
- 10.7. Internet Access
- 10.8. Dates and Times
- 10.9. Data Compression
- 10.10. Performance Measurement
- 10.11. Quality Control
- 10.12. Batteries Included
- 11. Brief Tour of the Standard Library — Part II
- 12. Virtual Environments and Packages
- 13. What Now?
- 14. Interactive Input Editing and History Substitution
- 15. Floating Point Arithmetic: Issues and Limitations
- 16. Appendix
Here is a video to further help you in understanding the Python software :-
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