Python

History:

Python was created by Guido van Rossum and first released in 1991. It was designed with simplicity and readability in mind, drawing inspiration from languages like ABC, C, and Modula-3. Guido aimed to create a language that was easy to learn yet powerful enough for professional development. Its use of clear indentation instead of curly braces or keywords for code blocks became one of its defining features.

Originally popular among researchers and academics for its ease of use and rapid prototyping capabilities, Python steadily gained traction across multiple industries. Over time, with the release of Python 2 and later Python 3, the language expanded its standard library and improved performance while maintaining backward compatibility principles.

Today, Python is one of the most widely used programming languages in the world. It powers everything from web applications and automation scripts to artificial intelligence, data analysis, scientific computing, and even game development. Its vast ecosystem of libraries (e.g., NumPy, Pandas, TensorFlow, Django, Flask) and strong community support ensure its continued growth and relevance.

Related job titles:

Exam Structure for Python Level 1:

1. Basic Interview Questions:
   WorkFrater will ask your candidate a few basic questions about Python, such as how long they have been learning and using it, examples of projects they’ve worked on, and some technical questions. The candidate will simply answer orally while the website records their responses. This will help your hiring team assess their knowledge of the programming language.
2. Data types and variables:
   Assess knowledge of Python’s built-in data types, variable assignments, and type conversion.
3. Operators and expressions:
   Evaluate understanding of arithmetic, comparison, logical, and assignment operators.
4. Control Flow (if, elif, else, loops):
   Test the ability to write conditionals and loops such as if, for, and while.
5. Functions and Parameters:
   Understand how to define and call functions, use parameters, return values, and default arguments.
6. Lists, Tuples, and Strings:
   Test knowledge of working with Python collections, indexing, slicing, and string manipulation.
7. Error Handling (Try-Except):
   Test understanding of Python’s exception handling system using tryexcept blocks and common error types.
8. Compiler Questions:
   The candidate is asked to write Python code that must display a specific output or solve a clearly defined problem. This section evaluates practical coding ability in a real-world context.

Results, videos and documents:

At the end of the exam, the website will generate a PDF file containing your candidate’s results. The document will provide a detailed analysis of their performance and offer valuable insights, including:

• Candidate Score: Total score and individual results for each question
• Global Statistics: Overall exam data such as the average score, number of candidates who passed or failed, average time taken, etc.
• Time Tracking: Time spent by your candidate on each question
• Performance Breakdown: Highlights of the candidate’s strengths and areas that need improvement

A video of the entire exam will also be available. One part of the video will display the candidate’s webcam, while the other will show their screen. This allows you to verify that the candidate did not cheat during the exam.

If you include this exam as a requirement in a job offer, the job offer page will provide additional insights once all candidates have completed the exam. The page will display:

• Ranking: A leaderboard showing candidates ranked from highest to lowest score
• Average Score: The average score of all candidates who have passed the exam
• Summary: A textual overview of candidate results, giving you a clear snapshot of their overall performance