★★★★★
"The structure, the practice exams, the instructor — all top tier. Passed first try."
AS
Ranjan PradhanSenior Project Manager
— The journey
Course Outline
What the programme covers, module by module.
Module 1: Advanced Python Foundations
- Python execution model
- Namespaces and scope
- Mutable and immutable objects
- Object references
- Dynamic typing
- Advanced coding practices
Module 2: Advanced Data Structures
- Lists and tuples
- Sets and dictionaries
- Collections module
- Deques
- Named tuples
- Advanced comprehensions
Module 3: Advanced Functions
- First-class functions
- Higher-order functions
- Lambda expressions
- Variable arguments
- Closures
- Function annotations
Module 4: Object-Oriented Programming
- Classes and objects
- Encapsulation
- Inheritance
- Polymorphism
- Composition
- Class relationships
Module 5: Advanced OOP Techniques
- Abstract base classes
- Multiple inheritance
- Method Resolution Order
- Class methods
- Static methods
- Properties
Module 6: Magic Methods & Data Model
- Special methods
- Object representation
- Operator overloading
- Comparison methods
- Callable objects
- Custom containers
Module 7: Iterators & Generators
- Iterator protocol
- Custom iterators
- Generator functions
- Generator expressions
- Yield
- Memory-efficient processing
Module 8: Decorators
- Function decorators
- Decorator arguments
- Multiple decorators
- Class decorators
- Practical decorator patterns
- Reusable functionality
Module 9: Context Managers
- Context management protocol
- With statement
- Custom context managers
- Contextlib
- Resource management
- Exception handling
Module 10: Exception Handling & Logging
- Exception hierarchy
- Custom exceptions
- Advanced error handling
- Logging framework
- Log configuration
- Application diagnostics
Module 11: Type Hints & Data Validation
- Type annotations
- Generic types
- Optional and Union types
- Static type checking concepts
- Data validation
- Maintainable interfaces
Module 12: Functional Programming
- Pure functions
- Map and filter
- Reduce
- Partial functions
- Function composition
- Functional programming patterns
Module 13: Design Patterns in Python
- Factory pattern
- Singleton concepts
- Strategy pattern
- Observer pattern
- Adapter pattern
- Dependency injection concepts
Module 14: File, JSON & Data Processing
- Advanced file handling
- CSV processing
- JSON processing
- Serialization
- Pathlib
- Large-file processing
Module 15: Database Programming
- Database connectivity
- SQL operations
- Transactions
- Parameterised queries
- Connection management
- ORM concepts
Module 16: API Development & Integration
- REST concepts
- HTTP requests
- API clients
- JSON APIs
- Authentication concepts
- Error handling
Module 17: Multithreading
- Threads
- Thread lifecycle
- Thread pools
- Synchronisation
- Locks
- Thread-safe programming
Module 18: Multiprocessing
- Processes
- Process pools
- CPU-bound workloads
- In
— 01.2 · Is it right for you?
Who it's for & what's included
Pick a delivery method to see exactly who it suits and everything you receive.
Who it's for
Classroom
Best for learners who want face-to-face tuition and to network with peers in person.
What's included
Everything you get
- ✓ Live instructor on-site
- ✓ Printed workbook & materials
- ✓ Group exercises & case studies
Who it's for
Online Instructor-Led
Best for learners who want a live instructor and a fixed schedule, without the travel.
What's included
Everything you get
- ✓ Live instructor via video call
- ✓ Digital workbook & resources
- ✓ Session recordings
Who it's for
Self-Paced
Best for self-motivated learners who need maximum flexibility around work and life.
What's included
Everything you get
- ✓ On-demand video lessons
- ✓ Interactive quizzes
- ✓ 24/7 access on any device
— About this course
Course Overview
The Advanced Python Programming program equips working professionals with advanced techniques for designing efficient, scalable, and maintainable Python applications. Participants explore advanced language features, object-oriented programming, decorators, generators, context managers, type hints, design patterns, asynchronous programming, multiprocessing, testing, debugging, performance optimisation, database integration, APIs, packaging, security, and professional software development practices.