Python Complete Course Roadmap: Beginner to Advanced
Python Complete Course Index (Chapter 1–61)
Level 1: Python Fundamentals (Beginner)
Chapter 1: Introduction to Python
- What is Python
- History of Python
- Features and applications
- Installing Python
- Running Python programs
Chapter 2: Python Basics
- Python syntax
- Comments
- Keywords
- Identifiers
- Indentation
Chapter 3: Variables and Data Types
- Variables
- Numbers
- Strings
- Boolean values
- Type conversion
Chapter 4: Operators in Python
- Arithmetic operators
- Comparison operators
- Logical operators
- Assignment operators
- Bitwise operators
Chapter 5: Input and Output
- User input
- Print formatting
- String formatting
- f-strings
Chapter 6: Conditional Statements
- if
- if-else
- if-elif-else
- Nested conditions
Chapter 7: Loops in Python
- for loop
- while loop
- Nested loops
- Loop control statements
Chapter 8: Python Strings
- String methods
- String slicing
- Searching strings
- String manipulation
Chapter 9: Python Lists
- Creating lists
- List methods
- Indexing
- Slicing
- List comprehension
Chapter 10: Python Tuples
- Tuple creation
- Tuple operations
- Immutable data
Chapter 11: Python Sets
- Set operations
- Union
- Intersection
- Difference
Chapter 12: Python Dictionaries
- Key-value pairs
- Dictionary methods
- Nested dictionaries
Level 2: Intermediate Python
Chapter 13: Functions in Python
- Creating functions
- Parameters
- Return values
- Scope
Chapter 14: Advanced Functions
- Default arguments
- Keyword arguments
- *args
- **kwargs
Chapter 15: Lambda Functions
- Anonymous functions
- map()
- filter()
- reduce()
Chapter 16: Modules and Packages
- Import system
- Creating modules
- Installing packages
- pip
Chapter 17: Exception Handling
- try
- except
- finally
- Custom exceptions
Chapter 18: File Handling
- Reading files
- Writing files
- CSV files
- JSON files
Chapter 19: Object-Oriented Programming (OOP)
- Classes
- Objects
- Attributes
- Methods
Chapter 20: Advanced OOP Concepts
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
Chapter 21: Decorators and Generators
- Decorators
- Generator functions
- yield keyword
Chapter 22: Iterators
- Iterator protocol
- Custom iterators
Chapter 23: Regular Expressions
- Pattern matching
- Searching
- Replacing text
Level 3: Advanced Python
Chapter 24: Python Date and Time
- datetime module
- Time formatting
- Time zones
Chapter 25: Working with Databases
- SQL basics
- SQLite
- Database connections
Chapter 26: Advanced Database Programming
- MySQL
- PostgreSQL
- ORM concepts
Chapter 27: Python Networking
- Sockets
- Client-server communication
Chapter 28: Working with APIs
- HTTP requests
- JSON APIs
- API integration
Chapter 29: Python Automation
- File automation
- Task automation
- System automation
Chapter 30: Web Scraping Basics
- Requests
- BeautifulSoup
- Extracting web data
Chapter 31: Advanced Web Scraping
- Selenium
- Dynamic websites
- Data extraction
Chapter 32: Testing Python Applications
- unittest
- pytest
- Test automation
Chapter 33: Debugging Python Programs
- Debugging techniques
- Logging
- Error tracking
Chapter 34: Python Security Basics
- Secure coding
- Password handling
- Common vulnerabilities
Chapter 35: Packaging Python Applications
- Creating packages
- setup.py
- Distribution
Chapter 36: Virtual Environments
- venv
- Dependency management
- Requirements files
Chapter 37: Python Internals and Performance Optimization
- Interpreter
- Bytecode
- Memory management
- GIL
- Multithreading
- Multiprocessing
- Async programming
Level 4: Web Development
Chapter 38: Python Web Development Complete Guide
- HTTP basics
- Flask
- FastAPI
- Web architecture
Chapter 39: Django Framework Complete Guide
- MVT architecture
- Models
- Views
- Templates
- Authentication
Chapter 40: Python API Development Masterclass
- REST APIs
- FastAPI advanced features
- JWT
- API security
Level 5: Data Science and AI
Chapter 41: Python Data Science Introduction
- Data science workflow
- NumPy
- Pandas
- Data analysis
Chapter 42: Data Visualization with Python
- Matplotlib
- Seaborn
- Charts
- Dashboards
Level 6: Machine Learning
Chapter 43: Machine Learning with Python Introduction
- AI vs ML
- ML workflow
- Scikit-learn
Chapter 44: Supervised Learning Algorithms
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
Chapter 45: Unsupervised Learning Algorithms
- Clustering
- K-Means
- PCA
Chapter 46: Feature Engineering and Data Preprocessing
- Data cleaning
- Feature selection
- Encoding
- Scaling
Chapter 47: Model Evaluation and Optimization
- Accuracy
- Precision
- Recall
- Cross validation
- Hyperparameter tuning
Level 7: Artificial Intelligence
Chapter 48: Deep Learning with Python
- Neural networks
- TensorFlow
- PyTorch
Chapter 49: Neural Networks and AI Basics
- Layers
- Activation functions
- Training process
Chapter 50: Natural Language Processing (NLP)
- Text processing
- Sentiment analysis
- Chatbots
Chapter 51: Computer Vision with Python
- Image processing
- OpenCV
- Image classification
Chapter 52: Generative AI and LLM Basics
- Large Language Models
- Prompt engineering
- AI applications
Chapter 53: AI Application Development
- AI-powered apps
- Model integration
- Deployment
Level 8: Professional Python Engineering
Chapter 54: Data Engineering with Python
- ETL pipelines
- Data processing
- Data workflows
Chapter 55: Big Data and Distributed Computing
- Apache Spark
- Distributed processing
Chapter 56: Advanced Automation Projects
- Bots
- Automation systems
- Scheduling tasks
Chapter 57: Advanced Web Data Extraction
- APIs
- Scraping systems
- Data pipelines
Chapter 58: Professional Python Development
- Code quality
- Documentation
- Clean code
- Best practices
Chapter 59: Software Design Patterns in Python
- Singleton
- Factory
- Observer
- MVC patterns
Chapter 60: Building Real-World Python Projects
- Complete applications
- Project architecture
- Deployment
Chapter 61: Python Career Roadmap and Interview Preparation
- Python jobs
- Portfolio projects
- Interview questions
- Coding practice