The full potential of programming language cannot be explored in a single-page code, which is the format of our current programming questions. The project question type provides a file-and-folder structure that enables the testing of Python concepts at various levels. These questions are automatically evaluated against the test cases by using the nose framework.
Why Python project questions?
Test hands-on programming skills
These types of questions allow you to test a candidate’s hands-on programming skill against various scenarios such as:
- Algorithmic coding knowledge that can be applied in real-life scenarios
- Concepts of classes and multiple inheritance
- Practical application skills that candidates can apply on a project using various data structures like lists and dictionaries and advanced concepts which cannot be assessed using a normal programming question
Assess the concepts of modules and packages
These types of questions assess the candidates based on the concept of reducing the size of code by using modules and packages. This skill allows the candidates to reduce the time complexity of code and their knowledge of time and space complexity to apply in a practical application.
Testing the knowledge of Python frameworks
This type of question allows you to assess candidates based on their knowledge of Python frameworks. The commonly used frameworks are Django, Flask, and CherryPy. These frameworks provide a basic and well-defined structure of a project that facilitates developers to figure out the core logic of the application.
Organization of Python project
A Python project is organized in a very similar way to Java Project. To know more about organizing Python Project files and folders, click here.