Python Course

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Python is dynamically typed , compiled and interpreted , procedural and object-oriented, generalized , general-purpose, platform-independent programming language. Python is a high-level, structured, open-source programming language that can be used for a wide variety of programming tasks.

Dynamically type: before using any variable, if it isn’t required to declare the type of variable , then it is called dynamically typed programming language.

Content:

• Core Python
• 1.Introduction to Python
• Introduction
• introduction to linux
• hello world program in c cpp java python
• how to compile and how to run in c cpp java python
• generic operation chain
• c operation chain
• c++ operation chain
• java operation chain
• python operation chain
• what is CPython
• what is PVM
• what is Python
• script mode
• interactive mode
• python2 vs python3
• 2.Operators
• what is operator
• what is operand
• what is expression
• types of operator
• unary, binary, ternary operator
• arithmatic operator
• assignment operator
• compaund assignment operator
• relational operator / comparison operator
• conditional operator
• bit wise opeator
• logical operator
• special operator
• membership operator
• identity operator
• 3.Data Types
• partially object oriented vs purelly object oriented
• types of data types
• how to create object
• RTTI Operator
• what is identifier
• int class
• float class
• complex class
• bool class
• NoneType class
• list class
• tuple class
• set class
• dict class
• str class
• 4.Memory Management
• Memory Manager
• Global Interpreter Lock
• Garbage Collector
• role of pvm
• code segment
• heap segment
• stack segment
• how int object allocates memory
• what is hashable object
• what is un-hashable object
• how list object allocates memory
• what is container object
• what is contained object
• reference vs copy
• shallow copy
• deep copy
• 5.Control Structure & Control Statement
• decision making control structure ( if elif else )
• structural pattern matching program ( match case )
• loop control structure ( while else , for else )
• break
• continue
• pass
• 6.Function
• what is function
• how to define function
• how to call function
• control flow during function definition and function call
• global variable
• local variable
• argument or parameter
• actual param
• formal param
• call by value
• call by reference
• call by reference as call by reference
• call by reference as call by value
• nested function
• first class object
• nonlocal keyword
• caller function
• called function
• return stmt
• yield stmt
• generator function
• generator object
• generator expression
• types of arguments
• starred expression
• function overloading
• function recursion
• marits of using function
• limitation of using function
• lambda function
• map, filter, reduce
• 7.Module & Package
• what is modular style programming
• what is module
• what is member
• what are the types of member
• how to access module
• how to rename module
• how to access member
• how to rename member
• how to access multiple member
• how to rename multiple member
• how to access all member
• explicit member & implicit member
• __file__, __doc__, __name__
• how to reload a module
• what is package
• what is __init__.py
• what is subpackage
• 8.File Handling
• why file
• what if file handling
• input operation & output operation
• file handling architecture
• how to create the copy of file from hd to ram
• what is file pointer
• how to initialize file pointer
• how to destroy the copy from ram
• read method
• seek method
• tell method
• readline method
• readlines method
• write method
• writelines method
• text file vs binary files
• load operation & dump operation
• how to handle csv file & excel file
• 9. Command Line Argument
• what is command line argument
• what is argv
• what is argc
• types of ways to consume data
• hardcoded input
• run time input
• function input
• module & package input
• command line argument input
• why command line argument
• 10.Exception Handling
• syntax error
• exception
• common exception
• method resolution order
• try - risky code
• except - alternative code
• else - success code
• finally - clean up code
• how to handle exception
• how to handle multiple exception
• how to handle exceptions using BaseException
• nested exception handling