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The Python Advanced Test evaluates expertise in core and advanced concepts, including OOP, functional programming, data structures, algorithms, and async programming. It assesses proficiency in writing efficient, scalable code while covering decorators, generators, multithreading, database interactions, and performance optimization, making it ideal for developers, data scientists, and engineers validating their skills for technical assessments or career growth.
Duration (Customizable)
45 min
Skills Covered
2
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The Python Advanced Test is designed to assess a developer’s in-depth knowledge of Python’s advanced features, programming paradigms, and problem-solving skills. It goes beyond basic syntax to evaluate proficiency in writing efficient, maintainable, and scalable code for complex applications. The test covers key topics such as object-oriented programming (OOP), including classes, inheritance, polymorphism, and encapsulation, as well as functional programming concepts like lambda functions, map/reduce/filter, and higher-order functions.
A major focus is placed on asynchronous programming, where candidates must demonstrate expertise in working with threads, multiprocessing, async/await, and event-driven programming. The test also evaluates knowledge of Python’s built-in data structures and algorithms, including lists, tuples, dictionaries, sets, heaps, and graph traversal techniques, which are crucial for optimizing performance and solving computational problems efficiently.
Additionally, candidates must showcase their ability to use advanced Python features such as generators, iterators, context managers, and decorators, which help in writing clean and efficient code. Performance optimization, memory management, and best practices for writing scalable Python applications are also key aspects of the assessment.
This test is particularly beneficial for experienced Python developers, software engineers, data scientists, and AI/ML practitioners who want to validate their skills, prepare for technical interviews, or advance their careers in Python development. Mastery of these concepts is essential for developing robust applications, working with modern frameworks, and tackling real-world challenges in software engineering.
Algorithmic Problem Solving
Coding
Test Details
Type
Programming skills
Languages
English
Duration
45 minutes
Difficulty
Advanced
The test is ideal for experienced developers, software engineers, and data scientists seeking to validate their expertise in complex Python concepts and scalable software development.
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Comprehensive AI-powered monitoring and security features to maintain test integrity

AI-based Face Detection
Advanced AI detects and verifies candidate's face throughout the test, flagging multiple faces or absence to prevent impersonation.

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Monitors and alerts when candidates use multiple screens or external monitors, marking violations for review.

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Automatically identifies candidates exhibiting unusual behavior like extended absences, dual monitors, or copy-paste attempts.

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Disables copy-paste function during assessments to ensure originality and fairness in candidate responses.

Absentee Monitoring
Tracks assessment attempts and duration to help identify delays, missed attempts, and monitor participation.
Evaluate coding proficiency across 50+ languages and frameworks with real-world coding challenges and algorithmic problems.
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