"Mastering Python: A Complete Guide from Beginner to Advanced"

1. Introduction to Python

• What is Python?
• Why Python? (Use cases in web development, data science, automation, etc.)
• Installation and Setup (Installing Python, setting up IDEs like PyCharm, VSCode, or Jupyter)
• Running Your First Python Program

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2. Python Basics

• Python Syntax and Comments
• Variables and Data Types (int, float, string, list, tuple, set, dictionary)
• Operators in Python (Arithmetic, Assignment, Comparison, Logical, Bitwise, etc.)
• Basic Input/Output

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3. Control Flow in Python

• If, Else, and Elif Statements
• Loops (For and While)
• Break, Continue, and Pass Statements
• Looping through Data Structures (Lists, Tuples, Dictionaries)

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4. Functions in Python

• Defining and Calling Functions
• Arguments and Parameters (Default arguments, keyword arguments)
• Return Statements
• Lambda Functions
• Recursion

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5. Python Data Structures

• Lists (Operations, slicing, list comprehension)
• Tuples (Differences between lists and tuples, tuple operations)
• Dictionaries (Key-value pairs, operations, iterating over dictionaries)
• Sets (Set operations, removing duplicates, working with sets)

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6. Strings in Python

• String Creation and Manipulation
• String Methods (len(), split(), join(), replace(), etc.)
• String Formatting (f-strings, format method, % formatting)
• Regular Expressions (re module)

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7. Object-Oriented Programming (OOP)

• Classes and Objects
• Attributes and Methods
• Inheritance, Polymorphism, Encapsulation
• Dunder Methods (Magic Methods)
• Using OOP in Projects

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8. Error Handling

• Try, Except, Finally
• Raising Exceptions
• Custom Exceptions

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9. Python Modules and Packages

• What are Modules and How to Use Them?
• Creating and Importing Your Own Modules
• Popular Python Libraries (e.g., math, datetime, os, etc.)
• Introduction to Virtual Environments

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10. File Handling

• Reading from and Writing to Files (open(), read(), write())
• File Methods and Modes
• Working with Directories and Files using os module
• Exception Handling in File Operations

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11. Python and Databases

• Introduction to SQLite and MySQL
• Connecting to a Database Using Python (sqlite3 or MySQL)
• CRUD Operations (Create, Read, Update, Delete)
• Using ORM Libraries like SQLAlchemy

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12. Working with Libraries and Frameworks

• Introduction to NumPy for Scientific Computing
• Pandas for Data Analysis
• Matplotlib and Seaborn for Data Visualization
• Building Web Applications using Flask or Django
• Introduction to Web Scraping using BeautifulSoup and Requests

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13. Advanced Python Topics

• Decorators
• Generators and Iterators
• Context Managers
• Concurrency in Python (Threading, AsyncIO)
• Unit Testing and Debugging

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14. Python Projects

• Beginner Projects: Calculator, To-do List, etc.
• Intermediate Projects: Web Scraper, Flask Blog, etc.
• Advanced Projects: Data Analysis Projects, Full-Stack Web Apps, Automation Scripts, etc.