Python Full-Stack Developer

• Lectures: 147
• Duration: 10 weeks

🧭 Purpose of the Course

This course is designed to provide learners with a comprehensive foundation in Python programming, covering everything from basic syntax to advanced topics like web APIs, databases, and testing frameworks. Python has become the de facto language for AI, data science, automation, and web development, making it essential for modern developers.

The course provides  structured, hands-on training in Python programming with practical examples and real-world applications. From basic operators and data types to advanced concepts like object-oriented programming, multithreading, and REST APIs, learners will master the complete Python ecosystem needed for professional software development and AI applications.

🏗️ Course Outline

1. Operators and Basic Syntax

• Arithmetic operators and mathematical operations
• Relational operators for comparisons
• Bitwise operators and binary operations
• Logical operators and boolean logic
• Membership operators and identity checking
• Operator precedence and expression evaluation

2. Data Types and Structures

• Numbers, strings, and string manipulation
• Lists and list operations
• Tuples and immutable sequences
• Dictionaries and key-value storage
• Sets and unique collections
• Generators and iterator protocols
• Type conversion and data validation

3. Control Flow and Iteration

• Conditional statements (if-else structures)
• Loop constructs (for and while loops)
• Loop control statements (break, continue)
• Nested loops and complex iterations
• Conditional expressions and ternary operators
• Flow control best practices

4. Functions and Functional Programming

• Function definition and parameter handling
• Default arguments and keyword parameters
• Lambda functions and anonymous functions
• Higher-order functions (map, filter, reduce)
• Function decorators and metaprogramming
• Recursive functions and problem-solving
• Partial functions and functional utilities

5. File and Folder Operations

• File reading and writing operations
• File handling with context managers
• Directory listing and manipulation
• Recursive file operations
• File renaming and batch operations
• Error handling in file operations
• Working with different file formats

6. Advanced Python Concepts

• Exception handling and error management
• Module creation and import systems
• Namespace and scope management
• Memory management and garbage collection
• Deep vs shallow copying
• Debugging techniques and tools

7. Object-Oriented Programming

• Class definition and object creation
• Constructor and destructor methods
• Inheritance and polymorphism
• Class variables and instance variables
• Operator overloading and magic methods
• Multiple inheritance patterns
• Static and class methods

8. Data Processing and Formats

• JSON parsing and manipulation
• CSV data processing and analysis
• Excel file handling and automation
• XML parsing and processing
• Regular expressions and pattern matching
• Date and time manipulation

9. Database Integration

• PostgreSQL database connectivity
• SQL operations and data manipulation
• MongoDB integration and operations
• Microsoft SQL Server connectivity
• Database connection management
• Data migration and ETL processes

10. Network Programming and APIs

• Socket programming and network communication
• REST API development and consumption
• HTTP requests and response handling
• Email handling and SMTP operations
• Telnet automation and testing
• SSH automation for remote operations

11. Concurrent Programming

• Process vs thread concepts
• Multithreading and thread management
• Multiprocessing and parallel execution
• Thread synchronization and locks
• Concurrent programming patterns
• Performance optimization techniques

12. Testing and Quality Assurance

• Unit testing with unittest framework
• PyTest framework and advanced testing
• Test fixtures and parameterization
• Mocking and monkey patching
• Test-driven development practices
• Code coverage and quality metrics

13. Advanced Topics

• Logging framework and debugging
• Decorator patterns and metaprogramming
• Iterator tools and functional utilities
• Instrumentation and monitoring
• CRON jobs and automation
• FastAPI web framework development

🧰 Tools & Technologies Used

• Python 3.x
• Standard Library Modules
• Database Connectors (PostgreSQL, MongoDB, MSSQL)
• Testing Frameworks (unittest, PyTest)
• Web Frameworks (FastAPI)
• Data Processing Libraries
• Network Programming Libraries
• Development Tools and IDEs

👨💻 Who is This Course For?

• Programming beginners looking to learn Python as their first language
• Developers from other languages transitioning to Python
• Students preparing for careers in AI, data science, or web development
• Professionals needing Python skills for automation and scripting
• Anyone wanting a comprehensive foundation in modern Python programming

✅ Outcomes

By the end of this course, learners will be able to:

• Master Python syntax, data types, and control flow structures
• Build robust applications using object-oriented programming principles
• Handle files, databases, and external APIs effectively
• Implement concurrent programming with threads and processes
• Create comprehensive test suites for code quality assurance
• Develop web APIs and network applications
• Apply Python to real-world automation and data processing tasks