Course Overview: This Python Programming course is designed to take you from absolute beginner to confident developer. You will learn Python from scratch, understand core programming concepts, and work on practical examples and projects. By the end of the course, you’ll be able to write clean, efficient Python code and build applications for web, automation, data processing, and more. Why Learn Python? Python is one of the most popular programming languages in the world, used in web development, data science, AI, automation, and game development. Its simple syntax makes it perfect for beginners, yet it’s powerful enough for advanced applications. Course Topics: 📌 Part 1: Introduction & Setup Introduction to Python & its applications Installing Python (Windows/Mac/Linux) Setting up an IDE (PyCharm / VS Code) Writing and running your first Python program 📌 Part 2: Python Basics 5. Keywords & Identifiers 6. Variables & Constants 7. Data Types (Numbers, Strings, Booleans, None) 8. Type Conversion & Casting 9. Basic Input and Output 10. Comments & Documentation 📌 Part 3: Operators 11. Arithmetic Operators 12. Comparison Operators 13. Logical Operators 14. Assignment Operators 15. Membership & Identity Operators 16. Operator Precedence 📌 Part 4: Control Flow 17. If, If-Else, If-Elif-Else Statements 18. Nested Conditions 19. Loops (for, while) 20. Loop Control Statements (break, continue, pass) 📌 Part 5: Data Structures 21. Lists & List Methods 22. Tuples & Tuple Methods 23. Sets & Set Operations 24. Dictionaries & Dictionary Methods 25. Strings & String Methods 📌 Part 6: Functions & Modules 26. Defining and Calling Functions 27. Function Arguments (positional, keyword, default, variable-length) 28. Return Statement 29. Lambda Functions 30. Importing & Using Modules 31. Creating Your Own Modules 📌 Part 7: Advanced Concepts 32. File Handling (Read, Write, Append) 33. Exception Handling (try, except, finally) 34. Object-Oriented Programming (Classes & Objects) 35. Inheritance & Polymorphism 36. Encapsulation & Abstraction 📌 Part 8: Python for Automation & Projects 37. Working with Libraries (os, sys, math, random) 38. Date & Time in Python 39. Basic Automation Scripts 40. Mini Projects (Calculator, To-Do App, File Organizer) 📌 Bonus Section: 41. Introduction to Virtual Environments 42. Introduction to Python for Web (Flask/Django Overview) 43. Introduction to Python for Data Science (Pandas, NumPy Overview) 💡 Outcome: After completing this course, you will be able to: ✅ Write Python scripts confidently ✅ Understand programming logic and problem-solving ✅ Build real-world Python projects ✅ Be ready for advanced fields like Data Science, AI, and Web Development
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View on Google MapsCourse Overview: This Python Programming course is designed to take you from absolute beginner to confident developer. You will learn Python from scratch, understand core programming concepts, and work on practical examples and projects. By the end of the course, you’ll be able to write clean, efficient Python code and build applications for web, automation, data processing, and more. Why Learn Python? Python is one of the most popular programming languages in the world, used in web development, data science, AI, automation, and game development. Its simple syntax makes it perfect for beginners, yet it’s powerful enough for advanced applications. Course Topics: 📌 Part 1: Introduction & Setup Introduction to Python & its applications Installing Python (Windows/Mac/Linux) Setting up an IDE (PyCharm / VS Code) Writing and running your first Python program 📌 Part 2: Python Basics 5. Keywords & Identifiers 6. Variables & Constants 7. Data Types (Numbers, Strings, Booleans, None) 8. Type Conversion & Casting 9. Basic Input and Output 10. Comments & Documentation 📌 Part 3: Operators 11. Arithmetic Operators 12. Comparison Operators 13. Logical Operators 14. Assignment Operators 15. Membership & Identity Operators 16. Operator Precedence 📌 Part 4: Control Flow 17. If, If-Else, If-Elif-Else Statements 18. Nested Conditions 19. Loops (for, while) 20. Loop Control Statements (break, continue, pass) 📌 Part 5: Data Structures 21. Lists & List Methods 22. Tuples & Tuple Methods 23. Sets & Set Operations 24. Dictionaries & Dictionary Methods 25. Strings & String Methods 📌 Part 6: Functions & Modules 26. Defining and Calling Functions 27. Function Arguments (positional, keyword, default, variable-length) 28. Return Statement 29. Lambda Functions 30. Importing & Using Modules 31. Creating Your Own Modules 📌 Part 7: Advanced Concepts 32. File Handling (Read, Write, Append) 33. Exception Handling (try, except, finally) 34. Object-Oriented Programming (Classes & Objects) 35. Inheritance & Polymorphism 36. Encapsulation & Abstraction 📌 Part 8: Python for Automation & Projects 37. Working with Libraries (os, sys, math, random) 38. Date & Time in Python 39. Basic Automation Scripts 40. Mini Projects (Calculator, To-Do App, File Organizer) 📌 Bonus Section: 41. Introduction to Virtual Environments 42. Introduction to Python for Web (Flask/Django Overview) 43. Introduction to Python for Data Science (Pandas, NumPy Overview) 💡 Outcome: After completing this course, you will be able to: ✅ Write Python scripts confidently ✅ Understand programming logic and problem-solving ✅ Build real-world Python projects ✅ Be ready for advanced fields like Data Science, AI, and Web Development