Python Advanced

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Python Advanced

Category: Programming

Duration: 40 Hrs

Empower learners to build scalable, production-ready Python applications by mastering advanced OOP, concurrency, APIs, automation, and testing. Ideal for developers preparing for backend roles, automation engineering, or full-stack integration.

Course Modules

Description:

Deepen your understanding of object-oriented programming by exploring abstraction, interfaces, and design patterns. Learn how to structure large-scale applications using reusable and extensible components.

Skills Learned:

  • Implement abstract classes and interfaces using abc module
  • Use multiple inheritance and mixins for modular design
  • Apply design patterns like Singleton, Factory, and Observer
  • Build maintainable and scalable OOP architectures


Description:

Learn how to connect Python applications to relational databases. Perform CRUD operations and explore ORM techniques for cleaner data access.

Skills Learned:

  • Connect to SQLite and MySQL using sqlite3 and mysql.connector
  • Perform Create, Read, Update, Delete operations
  • Use SQLAlchemy ORM for object-relational mapping
  • Handle transactions and query optimization


Description:

Master concurrency in Python to build responsive and efficient applications. Understand the difference between threads and processes and when to use each.

Skills Learned:

  • Differentiate between multithreading and multiprocessing
  • Use threading and multiprocessing modules for parallel execution
  • Handle race conditions, locks, and synchronization
  • Optimize performance in CPU-bound and I/O-bound tasks

Description:

Learn how to interact with RESTful APIs using Python. Send and receive data, handle authentication, and integrate external services into your applications.

Skills Learned:

  • Understand REST API principles and HTTP methods
  • Use requests to perform GET, POST, PUT, DELETE operations
  • Handle headers, tokens, and authentication flows
  • Parse JSON responses and integrate APIs into projects

Description:

Automate browser tasks and extract data from dynamic websites using Selenium and BeautifulSoup. Build scripts that mimic user behavior and collect structured data.

Skills Learned:

  • Use Selenium for browser automation and interaction
  • Scrape dynamic content using XPath, CSS selectors, and JavaScript rendering
  • Handle login flows, form submissions, and pagination
  • Combine scraping with data storage and reporting

Description:

Write reliable code with automated testing and debugging tools. Learn how to catch bugs early and optimize performance through profiling.

Skills Learned:

  • Write unit tests using unittest and pytest
  • Use assertions and test fixtures
  • Implement logging for diagnostics and monitoring
  • Profile code using cProfile and optimize bottlenecks

Description:

Apply all learned concepts in a real-world project. Choose from data analysis, web integration, or automation domains. Present your solution and receive expert feedback.

Skills Learned:

Design and build a complete Python application

Integrate OOP, APIs, databases, and automation

Document and present project architecture

Defend design decisions and receive constructive evaluation