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Introduction to Python

Python is a high-level, interpreted programming language known for its simplicity and readability. Created by Guido van Rossum in 1991, Python has become one of the most widely used programming languages in the world.

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Introduction to Python

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  1. Introduction to Python Python is a high-level, interpreted programming language known for its simplicity and readability. Created by Guido van Rossum in 1991, Python has become one of the most widely used programming languages in the world. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Its clean syntax and vast standard library make it ideal for beginners and professionals alike. -

  2. Why Choose Python? Python’s ease of use, combined with its powerful capabilities, makes it suitable for a wide range of applications—from simple scripting to complex machine learning models. It has a vibrant community, extensive documentation, and thousands of libraries that support development in web, data science, artificial intelligence, automation, and more.

  3. PYTHON INSTALLATION AND SETUP Installing Python is straightforward. You can download the latest version from the official Python website. It supports all major operating systems including Windows, macOS, and Linux. Once installed, Python can be run using the command line or integrated into development environments like PyCharm, VS Code, or Jupyter Notebook. 3

  4. PYTHON SYNTAX AND STRUCTURE Python uses indentation to define code blocks, which promotes readable and clean code. Unlike other languages that use braces or keywords to delimit blocks, Python relies on consistent indentation levels. Statements are generally written one per line, and semicolons are optional. 4

  5. CONTROL FLOW: CONDITIONS AND LOOPS Control flow statements allow you to execute code based on conditions. The if, elif, and else statements control decision-making. Loops such as for and while are used to repeat tasks efficiently. Python also includes break, continue, and pass for advanced flow control. 5

  6. FUNCTIONS IN PYTHON Functions help organize code into reusable blocks. You can define a function using the def keyword, followed by a name and parameters. Python also supports lambda functions, which are anonymous functions useful for short operations. Functions can return values using the return statement.

  7. Object-Oriented Programming in Python Python supports object-oriented programming (OOP) concepts such as classes and objects, inheritance, encapsulation, and polymorphism. A class is a blueprint for creating objects. OOP in Python promotes code reuse and helps manage complex software development.

  8. CONCLUSION A PYTHON COURSE IS AN EXCELLENT INVESTMENT IN YOUR FUTURE, PROVIDING YOU WITH SKILLS THAT ARE RELEVANT AND IN DEMAND ACROSS THE TECH INDUSTRY. WITH THE RIGHT TRAINING AND PRACTICE, YOU CAN BUILD A SUCCESSFUL CAREER IN SOFTWARE AND DATA- DRIVEN DOMAINS USING THE POWER OF PYTHON. 8

  9. THANK YOU 9

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