Python Programming: Basic to Advanced

Python Programming: Basic to Advanced is a comprehensive instructor-led training program designed for developers, software engineers, automation professionals, data analysts, and IT professionals who want to build a strong foundation in Python and advance to professional software development practices. The course covers Python fundamentals, object-oriented programming, modular application development, modern package management, testing, concurrency, performance optimization, and deployment best practices using the latest Python ecosystem.

Participants begin with Python language fundamentals including variables, operators, control structures, functions, collections, file handling, and modules before progressing to advanced concepts such as decorators, generators, context managers, dataclasses, asynchronous programming, type hints, dependency management, testing, profiling, packaging, and documentation.

The training also introduces modern Python development workflows using virtual environments, uv package management, PEP standards, static type checking, version management, and production-ready coding practices. Through extensive hands-on exercises and real-world implementation scenarios, learners gain practical experience in building maintainable, scalable, and enterprise-grade Python applications.

Upon successful completion of this course, participants will be able to:

• Develop Python applications using modern programming practices and coding standards.
• Write clean, modular, reusable, and maintainable Python code.
• Work effectively with Python data structures, functions, modules, and packages.
• Implement object-oriented programming concepts using classes, inheritance, polymorphism, and abstraction.
• Manage Python environments and third-party dependencies using venv and uv.
• Perform file processing, data serialization, and regular expression-based text processing.
• Build robust applications with exception handling, logging, and debugging techniques.
• Develop asynchronous applications using asyncio and concurrency patterns.
• Create automated tests using unittest and pytest frameworks.
• Package, optimize, document, and deploy Python applications using modern development workflows.

Participants should have:

• Basic understanding of computer programming concepts.
• Familiarity with variables, loops, conditional statements, and functions.
• Basic knowledge of any programming language is beneficial but not mandatory.
• Understanding of operating system concepts and command-line usage is recommended.
• No prior Python programming experience is required.