Advanced Python
Master Advanced Python Programming & Real-World Applications
Our Advanced Python Course is designed for learners who already understand Core Python and want to move into professional-level programming. This course focuses on advanced Python concepts, data handling, automation, and application development, preparing students for roles in software development, data science, and AI domains.
Course Overview
Our Advanced Python Course is a practical, industry-oriented program designed for students, freshers, and working professionals. You will learn advanced Python concepts including object-oriented programming, exception handling, multithreading, database connectivity, APIs, and working with real-world applications. This course focuses on hands-on coding, live projects, and real-time case studies so that you gain advanced Python skills required by software companies and modern technology roles.
Professional Certification Program
Course Type
Intermediate to Advanced
Recommended experience
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Advanced Python Course Syllabus
Advanced Python Concepts
- Python memory management
- Mutable vs immutable objects
- Shallow & deep copy
- Python namespaces & scope
Advanced Functions
- Lambda functions
- Map, filter & reduce
- Decorators
- Generators & iterators
Object-Oriented Programming (Advanced)
- Advanced class design
- Method overriding
- Multiple inheritance
- Abstract classes
Interface concepts
Modules, Packages & Virtual Environment
- Creating custom modules
- Package management
- Virtual environments
- pip & dependency handling
File Handling (Advanced)
- Working with CSV, JSON & XML files
- Binary file handling
- Logging techniques
Exception Handling (Advanced)
- Custom exceptions
- Exception chaining
- Error handling best practices
Python with Database
- SQLite / MySQL connectivity
- CRUD operations using Python
- Database integration concepts
Regular Expressions
- Pattern matching
- Search & replace
- Data validation using regex
Multithreading & Multiprocessing
- Threading concepts
- Process-based execution
- Performance optimization
Python for Automation
- Task automation basics
- File & folder automation
- Email automation basics
Python Libraries Overview
- NumPy (Basics)
- Pandas (Basics)
- Requests & BeautifulSoup (Intro)
Testing & Debugging
- Debugging techniques
- Unit testing basics
- Writing maintainable code
Tools & Technologies Covered
Who Should Enroll in This Course?
- Students with Core Python knowledge
- Engineering & IT students
- Python developers
- Data science & AI aspirants
- Working professionals upgrading skills
Why Choose Our Advanced Python Course?
- Industry-oriented syllabus
- Practical hands-on training
- Real-time project exposure
- Job-focused learning approach
- Experienced trainers