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Python is a high-level, interpreted programming language that is widely used in a variety of applications, including web development, data analysis, artificial intelligence, scientific computing, and automation. It was first released in 1991 and has since become one of the most popular programming languages in the world due to its simplicity, flexibility, and powerful capabilities.

Python programming has become a popular career choice for several reasons, including:

  • Versatility: Python is a versatile language that can be used in a wide range of applications and industries, including web development, data analysis, machine learning, and scientific computing. This versatility makes it a valuable skill for those looking to start a career in programming or those looking to expand their skillset.
  • Popularity: Python is one of the most widely used programming languages in the world, with a large and active community of developers. This popularity has led to a wealth of resources, libraries, and frameworks available for developers to use.
  • Easy to learn: Python is known for its simple and easy-to-learn syntax, which makes it an excellent choice for beginners. The language is designed to be readable and easy to understand, which can help developers write clean and maintainable code.
  • High demand: With its versatility and popularity, Python skills are in high demand across a range of industries. Many companies are looking for developers who can work with Python to build and maintain their applications and systems.
  • Career opportunities: Learning Python can open up a wide range of career opportunities, including software development, data analysis, machine learning, and web development. There is a growing demand for developers who can work with Python, making it a valuable skill for those looking to advance their careers in technology.

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    CURRICULUM

    Introduction to Python

    • What is Python programming language?
    • Advantages and applications of Python
    • Installation of Python
    • Python Keywords
    • The statement, Indentation, and Comment in Python

    Input/Output

    • Taking input
    • Output Using print() function
    • Output Formatting

    Python Operators

    • What are operators in Python?
    • Types of operators
    • Arithmetic operator
    • Assignment operator
    • Comparison operator
    • Logical operator
    • Bitwise operator
    • Special operators
    • Ternary Operator

    Python Data types

    • Get the Type of data type
    • Numbers
    • Python String
    • Python List
    • Python Tuples
    • Python Sets
    • Python Dictionary
    • Type Conversion

    Python Control Flow

    • Python Conditional statements
    • Python For Loop
    • Python While Loop
    • Python break statement
    • Python continue statement
    • Python pass statement

    Python Strings

    • Access characters/elements in a string
    • Concatenation of two or more string
    • String Slicing
    • Iterating string
    • Delete or Change String
    • String Formatting
    • String Methods
    • Escape Characters

    List in Python

    • Knowing the size of the list
    • Adding elements to a list
    • Accessing elements from the list
    • Delete or Remove elements from the list
    • Slicing of a list
    • Iterating a list
    • List Comprehension
    • Nested list
    • List Methods

    Python Tuples

    • Accessing elements in a Tuple
    • Tuple Slicing
    • Update Tuple
    • Unpack Tuple
    • Concatenation of Tuples
    • Changing and deleting Tuples
    • Python Tuple Methods

    Dictionary in Python

    • Accessing Elements from a Dictionary
    • Add/Change Elements in a Dictionary
    • Nested Dictionary
    • Deleting Elements from Dictionary
    • Dictionary Methods

    Sets in Python

    • Adding Elements to a Set
    • Accessing a Set
    • Removing Elements from a Set
    • Set Methods

    Python Functions

    • Syntax of Function
    • Types of Functions
    • Docstring
    • Arguments
    • Recursion in Python
    • Python Recursive Function
    • Lambda functions in Python
    • Modules in python
    • Packages

    Python Oop

    • Class
    • Object
    • Inheritance
    • iterators
    • Encapsulation
    • Polymorphism
    • Python Objects and Class
    • Constructors in Python
    • Deleting Attributes and objects
    • • Multiple Inheritance
    • Multilevel Inheritance

    Exception Handling in Python

    • Syntax Error
    • Exceptions
    • Try and Except in Exception Handling
    • Raising Exception
    • Python Errors and Built-in Exceptions

    File Handling

    • Open a file in Python
    • Close a file in Python
    • Write to file in Python
    • Read files in Python
    • Python directory and files management

    Python Pickle

    • Introduction to Pickle
    • Storing Data with Pickles
    • Pickling files
    • Unpickling files

    Python SQLite

    • Introduction to SQLite
    • Installation
    • Connect to Database
    • Create a Table
    • Insert Operation
    • Select Operation
    • Update Operation
    • Delete Operation
    • Where Clause
    • And & OR Clause
    • Like Clause
    • Limit Clause
    • Order By Clause
    • Group By Clause
    • Having Clause
    • Distinct Clause

    Python Tkinter

    • Introduction to Tkinter
    • Widgets in Tkinter
    • Geometry Management
    • Organizing Layout and Widgets
    • Binding Functions
    • Mouse Clicking Events
    • Drop-Down Menus
    • Alert Box
    • Simple Shapes
    • Image and Icons

    Numpy Introduction

    • What is NumPy in Python?
    • Why Use NumPy?

    Pandas Introduction

    • What are Pandas?
    • Why use Pandas?
    • What can Pandas do?

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