Data Type in Python and How to Declare Number Data Tutorial EP#03 |Python Programming Tutorial

Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible inlanguages such as C++ or Java. The language provides constructs intended to enable clear programs on both a small and largescale.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard
library.
In this Tutorial series, we provide a compilation of Python examples that will help you kick-start your own projects. We cover a widerange of topics, from multi-threaded programming to web development with Django. With our straightforward tutorials, you will be able to get your own projects up and running in minimum time.

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A Python identifier is a name used to identify a variable, function, class, module or otherobject. An identifier starts with a letter A to Z or a to z or an underscore (_) followed byzero or more letters, underscores and digits (0 to 9).Python does not allow punctuation characters such as @, $, and % within identifiers.Python is a case sensitive programming language. Thus, Manpower and manpower are two different identifiers in Python.

Reserved Words
The following list shows the Python keywords. These are reserved words and you cannotuse them as constants or variables or any other identifier names. All the Python keywords contain lowercase letters only.

Python is a high­level general purpose programming language:
● Because code is automatically compiled to byte code and executed, Python is suitable for use as a scripting language, Web application implementation language, etc.
● Because Python can be extended in C and C++, Python can provide the speed needed for even compute intensive tasks.
● Because of its strong structuring constructs (nested code blocks, functions, classes, modules, and packages) and its consistent use of objects and object­oriented programming, Python enables us to write clear, logical applications for small and large tasks.Important features of Python:
● Built­in high level data types: strings, lists, dictionaries, etc.
● The usual control structures: if, if­else, if­elif­else, while, plus a powerful
collection iterator (for).
● Multiple levels of organizational structure: functions, classes, modules, and packages. These assist in organizing code. An excellent and large example is the Python standard library.
● Compile on the fly to byte code ­­ Source code is compiled to byte code without aseparate compile step. Source code modules can also be "pre­compiled" to byte code files.
● Object­oriented ­­ Python provides a consistent way to use objects: everything is an object. And, in Python it is easy to implement new object types (called classes in object­oriented programming).
● Extensions in C and C++ ­­ Extension modules and extension types can be writtenby hand. There are also tools that help with this, for example, SWIG, sip, Pyrex.
● Jython is a version of Python that "plays well with" Java. See: The Jython Project http://www.jython.org/Project/

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Complete Python Programming Course for Beginners EP#1 | Python Basic syntax, Identifiers, keywords