About this course
It is important to underline that this chapter is purely about the language itself about features supported through special syntax complemented by functionality of the Python stdlib, which could not be implemented through clever external modules.
The process of developing the Python programming language, its syntax, is very transparent; proposed changes are evaluated from various angles and discussed via Python Enhancement Proposals PEPs. As a result, features described in this chapter were added after it was shown that they indeed solve real problems and that their use is as simple as possible. Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.
Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance.
Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast.
Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault.
Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on.
The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
What you'll learn
A basic on Python Language and Install Python 2.7
Install Python IDE IDE - Sublime Text
Write Your First Programme in Python Hello World!
A Basic Overview About Variables
What is Operator
Assignment Operators in Python
Membership and Identity Operators in Python
If Elif Else Statement
Break and Continue Statement in Python
While Loop in Python
Home Assignment On For Loop, If Else Statement and Range Function
Play With List in Python
Access Update Delete List
List max() method
List- min() Method
List count() method
List index() method
List append() method
List insert() method
List reverse() method
List sort() method
Access Update Delete Dictionary
Introduction To Function
Pass by value & Pass By Reference
Introduction to Python Exception
Basic Of File Operation Methods
Project # Download File From Internet
Introduction to OOPS concepts
Class and Object
Installation MySql with Python
Insert data into MySql