GS Professional in Python Programming Certification
Welcome to the Professional in Python Programming Certification exam! This certification is designed to validate your advanced knowledge and skills in Python programming. It covers sophisticated concepts, complex data structures, and advanced practices in Python, ensuring that you have the expertise required for professional Python development and application.
Objectives
By taking this test, you will be able to:
[ol]
[li]Demonstrate your mastery of advanced Python syntax and programming concepts.[/li]
[li]Show proficiency in working with complex data structures and algorithms.[/li]
[li]Validate your skills in object-oriented programming and design patterns in Python.[/li]
[li]Prove your capability in working with modules, packages, and libraries.[/li]
[li]Exhibit your knowledge of database integration, web development, and network programming.[/li]
[li]Illustrate your understanding of best practices in testing, debugging, and performance optimization.[/li]
[/ol]
Exam Format
[ul]
[li][b]Duration:[/b] 1 min. per question[/li]
[li][b]Total Questions:[/b] 149[/li]
[li][b]Question Types:[/b]
[ul]
[li]Multiple Choice Questions (MCQs)[/li]
[li]True/False Questions[/li]
[li]Short Answer Questions[/li]
[li]Coding Exercises[/li]
[li]Scenario-based Problems[/li]
[/ul]
[/li]
[/ul]
Topics Covered
[ol]
[li][b]Advanced Python Concepts[/b]
[ul]
[li]Advanced syntax and idioms[/li]
[li]List comprehensions, generator expressions[/li]
[li]Decorators and context managers[/li]
[li]Metaprogramming (introspection, metaclasses)[/li]
[/ul]
[/li]
[li][b]Data Structures and Algorithms[/b]
[ul]
[li]Advanced data structures (heap, deque, namedtuple)[/li]
[li]Algorithms (sorting, searching, recursion)[/li]
[li]Iterators and generators[/li]
[/ul]
[/li]
[li][b]Object-Oriented Programming[/b]
[ul]
[li]Advanced OOP concepts (polymorphism, encapsulation)[/li]
[li]Design patterns (Singleton, Factory, Observer)[/li]
[li]Magic methods and operator overloading[/li]
[/ul]
[/li]
[li][b]Modules, Packages, and Libraries[/b]
[ul]
[li]Creating and using modules and packages[/li]
[li]Virtual environments and dependency management[/li]
[li]Key libraries (NumPy, Pandas, Matplotlib)[/li]
[/ul]
[/li]
[li][b]File Handling and Data Serialization[/b]
[ul]
[li]Advanced file handling techniques[/li]
[li]Working with JSON, CSV, XML[/li]
[li]Serialization with pickle and other formats[/li]
[/ul]
[/li]
[li][b]Database Integration[/b]
[ul]
[li]SQL and NoSQL databases (SQLite, MySQL, MongoDB)[/li]
[li]Using ORMs (SQLAlchemy, Django ORM)[/li]
[li]Database transactions and error handling[/li]
[/ul]
[/li]
[li][b]Web Development[/b]
[ul]
[li]Web frameworks (Django, Flask)[/li]
[li]RESTful API development[/li]
[li]Web scraping and automation (BeautifulSoup, Selenium)[/li]
[/ul]
[/li]
[li][b]Network Programming[/b]
[ul]
[li]Sockets and networking protocols[/li]
[li]Asynchronous programming (asyncio, Twisted)[/li]
[li]HTTP requests and web services (requests, aiohttp)[/li]
[/ul]
[/li]
[li][b]Testing and Debugging[/b]
[ul]
[li]Writing and running tests (unittest, pytest)[/li]
[li]Debugging techniques and tools (pdb, logging)[/li]
[li]Profiling and performance optimization[/li]
[/ul]
[/li]
[li][b]Best Practices[/b]
[ul]
[li]Code organization and documentation[/li]
[li]Version control with Git[/li]
[li]Continuous integration and deployment (CI/CD)[/li]
[/ul]
[/li]
[/ol]
Preparation Tips
[ul]
[li]Review Python documentation and familiarize yourself with advanced syntax and features.[/li]
[li]Practice coding with Python, focusing on the topics covered in the exam.[/li]
[li]Solve exercises related to data structures, algorithms, OOP, and database integration.[/li]
[li]Study advanced web development, network programming, and asynchronous programming techniques.[/li]
[li]Take sample tests and practice problems to gauge your understanding and readiness.[/li]
[li]Follow best practices in coding, testing, debugging, and performance optimization.[/li]
[/ul]
Good luck with your exam preparation! Demonstrate your advanced Python programming skills and achieve the Professional in Python Programming Certification!
Validate your skills in sophisticated concepts, complex data structures, and advanced practices in Python.
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