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Title: Introduction to python programming
Description: Description This document contains comprehensive Python programming notes designed for both beginners and intermediate learners. It covers all the essential topics required to build a strong foundation in Python, with practical examples and explanations. Topics Covered: Introduction to Python: Basics, installation, and setting up the environment. Core Python Concepts: Variables, data types, and operators. Control Structures: If-else statements, loops, and conditionals. Functions and Modules: Creating functions, using built-in modules, and importing custom modules. Data Structures: Lists, dictionaries, sets, and tuples, along with their real-world applications. File Handling: Reading, writing, and managing files. Object-Oriented Programming (OOP): Classes, objects, inheritance, and polymorphism. Error Handling: Exception handling with try-except blocks. Popular Python Libraries: Introduction to NumPy, Pandas, and Matplotlib for data manipulation and visualization. Advanced Python Topics: Generators, decorators, and multithreading basics. Key Features: Clear and concise explanations with step-by-step examples. Exercises and solutions for hands-on practice. Real-world applications and tips for efficient coding. Ideal for students, hobbyists, and professionals seeking to enhance their Python skills.
Description: Description This document contains comprehensive Python programming notes designed for both beginners and intermediate learners. It covers all the essential topics required to build a strong foundation in Python, with practical examples and explanations. Topics Covered: Introduction to Python: Basics, installation, and setting up the environment. Core Python Concepts: Variables, data types, and operators. Control Structures: If-else statements, loops, and conditionals. Functions and Modules: Creating functions, using built-in modules, and importing custom modules. Data Structures: Lists, dictionaries, sets, and tuples, along with their real-world applications. File Handling: Reading, writing, and managing files. Object-Oriented Programming (OOP): Classes, objects, inheritance, and polymorphism. Error Handling: Exception handling with try-except blocks. Popular Python Libraries: Introduction to NumPy, Pandas, and Matplotlib for data manipulation and visualization. Advanced Python Topics: Generators, decorators, and multithreading basics. Key Features: Clear and concise explanations with step-by-step examples. Exercises and solutions for hands-on practice. Real-world applications and tips for efficient coding. Ideal for students, hobbyists, and professionals seeking to enhance their Python skills.
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PYTHON PROGRAMMING
Unit I
PYTHON CONSTRUCTS
Introduction: Python Interpreter and interactive mode, Comments, Identifiers and Keywords; Data
Types; Variables and Expressions; Operators; Conditional Statements; Looping Statements; Fruitful
Functions; Lambda Function
Illustrative Programs: Financial application, sandwich vowel , and Chocolate Distribution
Algorithm
Introduction to Python
❖ Python is a widely used general-purpose, high-level, interpreted, interactive,
object oriented and reliable programming language
...
❖ Python got its name from a BBC comedy series from seventies- “Monty Python’s
Flying Circus”
...
❖ Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc)
...
Features of Python
a) General purpose language
❖ It can be used to write code for any task
...
b) Easy-to-Learn
❖ A Python program is clearly defined and easily readable
...
❖ It uses few keywords and clearly defined syntax
...
c) High-level language
❖ When writing programs in python, the programmers don’t have to worry about the
low-level details like memory used by the program, etc
...
d) Interactive
❖ Programs in python work in interactive mode which allows interactive debugging
and testing of pieces of code
...
e) Open source
❖ Python is publicly available open source software
...
g)
Interpreted
❖ Python programs are interpreted, i
...
, the interpreter takes the source code as input,
(to portable byte-code) one statement at a time and executes it immediately
...
h) Object Oriented
❖ Python supports both Procedure-Oriented and Object-Oriented Programming
(OOP) approaches
...
❖ In object-oriented languages, the program is built around objects which combines
data and functionality
...
i) Embeddable
❖ Programmers can embed python within their C, C++, COM, ActiveX, CORBA
and Java programs to give ‘scripting’ capabilities for users
...
❖ These library functions are compatible on UNIX, Windows, Macintosh, etc
...
k) Dynamically types
❖ Python is a dynamically typed language, which means there is no need to declare
variables explicitly
...
Compiler vs
...
Hence debugging is easy
Title: Introduction to python programming
Description: Description This document contains comprehensive Python programming notes designed for both beginners and intermediate learners. It covers all the essential topics required to build a strong foundation in Python, with practical examples and explanations. Topics Covered: Introduction to Python: Basics, installation, and setting up the environment. Core Python Concepts: Variables, data types, and operators. Control Structures: If-else statements, loops, and conditionals. Functions and Modules: Creating functions, using built-in modules, and importing custom modules. Data Structures: Lists, dictionaries, sets, and tuples, along with their real-world applications. File Handling: Reading, writing, and managing files. Object-Oriented Programming (OOP): Classes, objects, inheritance, and polymorphism. Error Handling: Exception handling with try-except blocks. Popular Python Libraries: Introduction to NumPy, Pandas, and Matplotlib for data manipulation and visualization. Advanced Python Topics: Generators, decorators, and multithreading basics. Key Features: Clear and concise explanations with step-by-step examples. Exercises and solutions for hands-on practice. Real-world applications and tips for efficient coding. Ideal for students, hobbyists, and professionals seeking to enhance their Python skills.
Description: Description This document contains comprehensive Python programming notes designed for both beginners and intermediate learners. It covers all the essential topics required to build a strong foundation in Python, with practical examples and explanations. Topics Covered: Introduction to Python: Basics, installation, and setting up the environment. Core Python Concepts: Variables, data types, and operators. Control Structures: If-else statements, loops, and conditionals. Functions and Modules: Creating functions, using built-in modules, and importing custom modules. Data Structures: Lists, dictionaries, sets, and tuples, along with their real-world applications. File Handling: Reading, writing, and managing files. Object-Oriented Programming (OOP): Classes, objects, inheritance, and polymorphism. Error Handling: Exception handling with try-except blocks. Popular Python Libraries: Introduction to NumPy, Pandas, and Matplotlib for data manipulation and visualization. Advanced Python Topics: Generators, decorators, and multithreading basics. Key Features: Clear and concise explanations with step-by-step examples. Exercises and solutions for hands-on practice. Real-world applications and tips for efficient coding. Ideal for students, hobbyists, and professionals seeking to enhance their Python skills.