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Python_Programming_Presentation PRESENTATION
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Python_Programming_Presentation PRESENTATION
1.
Python Programming • An
Introduction to Python Language
2.
What is Python? •
Python is a high-level, interpreted programming language known for its simplicity and readability.
3.
History of Python •
Created by Guido van Rossum in 1991. Open- source and community-driven.
4.
Features of Python •
• Easy to learn • • Interpreted • • Object-Oriented • • Cross-platform • • Rich libraries
5.
Why Learn Python? •
• Beginner friendly • • Used in AI, Web, Data Science • • Large community support • • High demand in jobs
6.
Python Applications • •
Web Development • • Data Science • • Machine Learning • • Automation • • Game Development
7.
Python Syntax Basics •
• Indentation instead of braces • • Case-sensitive • • Simple and clean code
8.
Variables and Data
Types • • int, float, str, bool • • Dynamic typing • • Example: x = 10, name = 'Ayush'
9.
Operators in Python •
• Arithmetic • • Relational • • Logical • • Assignment • • Bitwise
10.
Control Structures • •
if, elif, else • • for loops • • while loops • • break, continue
11.
Functions in Python •
• Defined using 'def' • • Can return values • • Support recursion
12.
Modules and Packages •
• Reusable code • • Import using 'import' • • Python Package Index (PyPI)
13.
Object-Oriented Python • •
Classes and Objects • • Inheritance • • Polymorphism • • Encapsulation
14.
Exception Handling • •
try, except, finally • • Handling runtime errors safely
15.
File Handling • •
Open, Read, Write, Close files • • Modes: r, w, a, b
16.
Python Libraries • •
NumPy, Pandas (Data) • • Matplotlib, Seaborn (Visualization) • • Django, Flask (Web)
17.
Python in Data
Science • • Data analysis, visualization • • Machine Learning • • AI applications
18.
Python in Web
Development • • Frameworks: Django, Flask • • Backend development
19.
Advantages of Python •
• Versatile • • Strong community • • Huge library support
20.
Conclusion • Python is
powerful, simple, and essential for modern software development.
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