Advanced Python Techniques

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About Course

Overview:

The Advanced Python Techniques course is designed for learners who already possess a solid understanding of Python basics and want to take their programming skills to the next level. This course dives deep into advanced concepts, professional coding practices, and powerful Python features that are widely used in real-world projects. It prepares learners to write efficient, scalable, and maintainable code suitable for industry-grade applications.

Who Should Enroll:

  • Intermediate Python programmers aiming to become advanced developers

  • Students and professionals preparing for high-level projects, certifications, or technical interviews

  • Developers who want to master advanced Python concepts for web development, data science, machine learning, and enterprise applications

  • Anyone looking to optimize and structure their Python code for real-world scalability

What You Will Learn:

  • Advanced Object-Oriented Programming (OOP) concepts and design patterns

  • Working with decorators, generators, and iterators for clean, reusable code

  • File handling, exception handling, and error management in depth

  • Best practices for modular and reusable coding

  • Advanced data structures and algorithms using Python

  • Code optimization and debugging techniques

  • Using Python’s standard and advanced libraries effectively

  • Writing professional-grade Python applications

Course Highlights:

  • Hands-on coding exercises with challenging real-world examples

  • Step-by-step breakdown of advanced Python features

  • Focus on writing clean, reusable, and optimized code

  • AICTE-aligned curriculum to meet industry and academic standards

  • Guidance for handling complex coding challenges and industry projects

Outcome:

By the end of this course, learners will have mastered advanced Python programming concepts and techniques. They will be capable of developing scalable applications, solving complex problems, and applying best practices in professional development environments, paving the way for roles such as Python Developer, Data Scientist, Software Engineer, or AI/ML Engineer.

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What Will You Learn?

  • Course Objectives
  • The course aims to:
  • Introduce advanced Python features for real-world applications.
  • Strengthen object-oriented and functional programming skills.
  • Enable efficient file, database, and API interactions.
  • Explore advanced modules for data analysis, web scraping, and automation.
  • Enhance debugging, testing, and performance optimization practices.
  • Course Outcomes (COs)
  • Upon successful completion, learners will be able to:
  • CO1: Apply advanced Python programming paradigms.
  • CO2: Use object-oriented and functional programming techniques effectively.
  • CO3: Perform database operations and work with external APIs.
  • CO4: Utilize advanced libraries for automation, data handling, and visualization.
  • CO5: Develop optimized, testable, and reusable Python applications.

Course Content

Module 1: Advanced Python Constructs

  • Iterators and Generators (yield, generator expressions)
  • Decorators and higher-order functions
  • Context managers (with statement, custom context managers)
  • Python memory management and garbage collection

Module 2: Advanced Object-Oriented Programming (OOP)

Module 3: Functional Programming in Python

Module 4: File Handling & Database Interaction

Module 5: Working with Libraries & Modules

Module 5: Working with Libraries & Modules

Module 6: Concurrency & Parallelism

Module 7: Debugging, Testing, and Optimization

Module 8: Practical Applications & Mini Projects

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