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Python-Tutorial.pdf

Python is one of the most popular programming languages today because it is simple, powerful, and widely used in many fields. This tutorial is created for students, beginners, and even professionals who want to strengthen their basics of Python in an easy way.

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Python-Tutorial.pdf

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  1. Python Tutorial Learn the fundamentals of Python programming through practical, beginner-friendly examples. Master one of today's most popular programming languages step by step.

  2. What is Python? Python is a high-level, interpreted,and object-oriented programming language known for its simple syntax and exceptional readability. This makes it one of the easiest languages for beginners to master. Key Facts Created by Guido van Rossum in 1991. Used for web development, data science, AI, and automation. Open-source with massive community support Powers companies like Google, Netflix, and Instagram

  3. Why Python Stands Out Easy to Learn Simple English-like syntax that reads almost like natural language, perfect for programming newcomers. Cross-Platform Runs seamlessly on Windows, Linux, and Mac without any modifications to your code. Extensive Libraries Massive ecosystem including NumPy, Pandas, TensorFlow, and thousands of other powerful tools. Interpreted & Fast Code runs line by line without compilation, making development and testing incredibly efficient.

  4. Getting Started: Installation & Setup 02 VerifyInstallation 01. Download Python Visit python.org and download the latest version for your operating system. The installer includes everything you need. Open your terminal or command prompt and check your installation: python --version 03 Choose Your IDE Selecta development environment like VS Code, PyCharm, or Jupyter Notebook to write and run your code efficiently.

  5. Your First Python Program TheClassic"Hello,World!" Every programming journey begins with this simple program that displays a message on screen: print("Hello, World!") How It Works print() is a built-in function It displays output to the screen Python uses indentation instead of curly braces

  6. Variables and Data Types Variablesarecontainersthatstoredata,whiledatatypesdefinewhat kind of information they hold. Python automatically detects the type for you! Numbers Text Boolean is_active = True # boolean is_done = False boolean x = 10 y = 3.14 (decimal) # int (integer) # float name = "John" greeting = 'Hi!' # also string # string # Python's dynamic typing means you don't need to declare variable types explicitly - the interpreter figures it out automatically!

  7. Control Structures: Making Decisions Control structures determine how your program flows and makes decisions. They’re the building blocks of program logic. Conditional Statements Loops for Repetition if-else for Use to make decisions: Use loops to repeat actions: age = 18 if age >= 18: else: print("Not eligible") for i in range(5): # Output: 0, 1, 2, 3, 4 print(i) print("Eligible to vote")

  8. Functions: Reusable Code Blocks Functionsarelikemini-programsthatperformspecifictasks.Theyhelporganizeyour code and eliminate repetition. 1 2 3 D ef ine Call Output def greet(name): return "Hello, " + name message = greet("Alice") print(message) Hello, Alice The function returns a result you can use or display def Create a function using the keyword Use the function by calling its name with arguments Pro Tip: Functions make your code more organized, reusable, and easier to debug. Think of them as tools in your programming toolbox!

  9. Data Structures: Organizing Information DatastructuresaredifferentwaystostoreandorganizemultiplepiecesofinformationinPythonprograms. Lists (Mutable) Tuples (Immutable) fruits = ["apple", "banana", "cherry"] colors = ("red", "green", "blue") Ordered collections that can be changed. Perfect for storing items you might modify later. Ordered collections that cannot be changed. Great for data that should remain constant. Dictionaries Sets (Unique) student = {"name": "John", "age": 21} numbers = {1, 2, 3, 4} Store data in key-value pairs. Ideal for structured information and quick lookups. Collections of unique items with no duplicates. Perfect for removing duplicates.

  10. Your Python Journey Continues WhatYou'veLearned Python basics and why it's popular Variables, data types, and control structures Functions and data organization Essential programming concepts Next Steps to Master Python Object-Oriented Programming 1 Learn classes, objects, and inheritance Libraries & Frameworks Explore NumPy, Pandas, Flask, Django 2 Specialized Areas Choose web development, data science, or AI/ML 3 Congratulations! You now have the foundation to build amazing things with Python. The journey of a thousand programs begins with a single print("Hello, World!")

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