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Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by Guido van Rossum and first released in 1991. Python emphasizes code readability with its clear and concise syntax, making it easier to understand and maintain.

Here are some key features and characteristics of the Python language:

Easy to Learn: Python has a straightforward and beginner-friendly syntax, making it an excellent choice for individuals new to programming. Its simplicity allows you to focus on problem-solving rather than getting caught up in complex syntax.

Interpreted Language: Python is an interpreted language, meaning that the code is executed line by line without the need for compilation. This enables rapid development and makes Python highly interactive for tasks like scripting and prototyping.

Dynamic Typing: Python is dynamically typed, which means you don't need to explicitly declare variable types. Variable types are inferred at runtime, allowing for more flexibility and faster development. However, this flexibility can also lead to potential runtime errors if not careful.

Object-Oriented: Python supports object-oriented programming (OOP) principles, allowing you to create and use classes and objects. OOP provides a modular and organized approach to programming, making code reusable and easier to manage.

Large Standard Library: Python comes with a comprehensive standard library that provides a wide range of modules and functions for common tasks. This library covers areas such as file I/O, networking, regular expressions, data manipulation, and more, saving developers time and effort.

Cross-Platform Compatibility: Python is a cross-platform language, meaning it runs on various operating systems such as Windows, macOS, and Linux. You can develop Python programs on one platform and run them on another without significant modifications.

Extensive Third-Party Ecosystem: Python has a vast ecosystem of third-party libraries and frameworks developed by the Python community. These libraries, such as NumPy, Pandas, TensorFlow, and Django, extend Python's capabilities for data analysis, scientific computing, machine learning, web development, and more.

Python's versatility and extensive support make it suitable for a wide range of applications, including web development, data analysis, scientific computing, artificial intelligence, automation, scripting, and more. It has gained popularity in various industries and has a vibrant and supportive community of developers.

Course Overview

It is widely used in various domains, including web development, scientific computing, data analysis, artificial intelligence, and automation.
  • What is Python..?
  • Who developed python?
  • Why the name Python?
  • Why use python?
  • Where Python is used?
  • Application of python
  • Installation and setup of Python
  • Python syntax and structure
  • Running Python programs
  • Python Comments
In Python, variables are used to store and manipulate data.
  • Variables and assignments
  • Numeric data types (integers, floating-point numbers)
  • Strings and string manipulation
  • Boolean Type
  • Sequence Types
  • Mapping Type
  • Set Types
  • Sequence of Bytes
  • None Type
  • Tuple Data Type
  • List ,Dictionary Data Types
  • Arithmetic Operator
  • Assigment Operator
  • Comparison Operator
  • Logical Operator
  • Membership Operator
  • Identity Operators
  • Bitwise Operator
  • Relational Operator
  • Special Operator
Control flow refers to the order in which statements are executed in a program.
  • Conditional statements (if, elif, else)
  • if...statement
  • if...else statement
  • elif...statement
  • The for....Loop
  • The while...Loop
  • continue statement
  • break statement
  • pass statement
Python is a powerful and versatile programming language that offers several notable features, making it popular among developers.
  • Platform Independent
  • Object Oriented
  • Flexible
  • Structure Oriented
  • Portable
  • Simple
  • Easy to learn
Functions in Python are reusable blocks of code that perform specific tasks.
  • Defining and calling functions
  • Function parameters and arguments
  • Return values
  • Scope and namespaces
Python provides built-in functions and methods for file handling, making it easy to interact with files.
  • Reading from and writing to files
  • File modes and file objects
  • Handling exceptions related to file operations
  • Working with files and directories
In Python, modules and packages are used to organize and structure code into reusable components.
  • Importing modules
  • Creating and using packages
  • Exploring standard library modules
  • Command line arguments
  • Packages Creating custom packages
  • How to import a module...?
Python is an object-oriented programming language that provides support for OOP concepts.
  • Class• • • • • • • • • • Function Overloading • reduce() • filter() • • map()
  • Object
  • Inheritance
  • Single Inheritance
  • Multiple Inheritance
  • Hierarchical Inheritance
  • Hybrid Inheritance
  • Multilevel Inheritance
  • Iterators Encapsulation
  • Polymorphism
  • Constructors in Python
  • Parameterized Constructor
  • Non-Parameterized Constructor
  • Abstraction
  • Deleting Attributes and objects
  • Function Overriding
  • Function Overloading
  • reduce()
  • filter()
  • Lambda Function
  • map()
Error handling and debugging are crucial aspects of Python programming that help identify and resolve errors and bugs in code.
  • Handling exceptions and errors
  • Debugging techniques and tools
Python programming that allows you to leverage pre-existing code and functionality developed by others.
  • Introduction to popular Python libraries (e.g., NumPy, Pandas)
  • Installing and importing third-party libraries
  • Basic usage examples
Python provides built-in functions for standard input and output operations.
  • Standard input and output
  • Formatting output
  • Reading input from users
Python projects involve creating complete applications or software solutions using the Python programming language.
  • Project structure and organization
  • Testing and debugging
  • Documentation and comments
SQLite databases are stored in a single file, making them easy to distribute and deploy.
  • Create Table
  • Drop Table
  • Delete and Update query
  • WHERE, AND & OR Clause
  • Insert query
  • Select query
  • Overview
  • Create Database
Tkinter is a standard Python library that provides a simple and intuitive way to create graphical user interfaces (GUIs).
  • Introduction
  • Saying Hello with Labels
  • Dialogs
  • Steps to Creater GUI Window
  • Set Dimension of GUI Window
  • Set title and background color of GUI Window
  • Buttons
  • Entry
  • Checkbutton
  • CanvaLables
  • Listbox
  • Messagebox
  • Menubutton
  • Radiobutton
  • Scale
  • Spinbox
  • Message
  • GUI Login
  • Place() method in Tkinter
  • Grid() method in Tkinter
  • Get the location and total number of grids in Tkinter
  • Pack() method in Tkinter
  • Unmap any widget from the screen or toplevel
  • PanedWindow Widget in Tkinter
  • Text Widget
  • Combobox Widget