Course Content

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Introduction to Python

• What is Python
• The application areas of Python
• Download and install Python
• Execute Python program from command prompt and using IDLE
• Save programs with .py extension and execute it from prompt

Python Basics

• Data types and variables
• Operators and operator precedence
• Data type conversions
• Command line argument
• Data input
• Comments
• Import modules

Python Flow Control

• If statement
• If.. elif.. else statement
• While loop
• For loop
• Break & continue
• Else clause

Introduction to Python IDE

• PyCharm

Python Sequences

• Range
• String
• List
• Tuple
• Dictionary
• Set

Shallow and deep copy

Functions and modules

• What is function
• Define a function
• Pass arguments
• Arguments with default values
• Arbitrary arguments
• Local and global variables
• Return a value from function
• Return multiple values
• Documentation Strings
• Python built in functions
• Mathematical functions
• Random number functions
• Mathematical constants

Python Modules

• What is module?
• Import module using import statement
• Use from... import statement
• Use from ... import* statement
• Location modules
• PYTHONPATH variable
• Namespaces and scoping
• Dir(), globals(), locals() and reload()

File Handling

• Reading
• Writing
• File manipulations
• Directories

Exception Handling

• What is exception?
• Python built-in exceptions
• Try
• Except
• Finally
• Raise exceptions
• User defined exception
• Assertions

Python classes and objects

• Class definition
• Creating objects
• Constructors
• Accessing attributes
• Built-in class attributes
• Destructors
• Inheritance
• Overriding
• Overloading
• Data hiding

Regular Expressions

• Match()
• Search()
• Search and replace
• Modifiers
• Patterns
• Character classes
• Repetitions

Database programming

• With SQLite
• Installing SQLite browser
• Creating database
• CRUD operations With MySQL
• MySql datatypes
• CRUD operations

Python Graphics

• Turtle

Python GUI Programming with Tkinter

• Widgets
• Geometry managers / layout managers
• Variable classes
• Events and binds

Packages

• Creating packages
• Installing packages using PIP

Functional Programming

• Iterators
• Generators
• The lambda construct
• Comprehensions
• Map, reduce and filter

Sockets Programming

• The Socket
• Module Server
• Socket Methods
• Client Socket Methods
• General Socket Methods

Numpy Module

• N-dimensional data structure
• Creating arrays
• Indexing arrays by slicing
• Basic operations and manipulations

Pandas Module

• Pandas Basic
• Pandas Series
• Pandas DataFrame

Matploatlib Module

• Types of Graph
• Data Visualization
• Handling Array
• Handling DataFrame

MetaProgramming in Python

• Function Decorator
• Class Decorator
• Type Class
• Inner Classes

Project 

Course Details

Hours: 75 Hours

Expert

Course Fee: 8000

Course Features

2 Free Demo Classes

Free Course Material

Completion Certificate

Lifetime Membership