Python Developer (Data Science & AI) interview practice at Texala India
25 questions · 45 minutes · ₹25
Practice for the Python Developer (Data Science & AI) opening at Texala India: questions from its job description on Python, RESTful API development, FastAPI, Flask, and on your CV.
Take the Python Developer (Data Science & AI) test
What it covers
- Python
- RESTful API development
- FastAPI
- Flask
- Django
- Data Structures & Algorithms
- Object-Oriented Programming
- Scikit-learn
- TensorFlow
- PyTorch
- Python Developer (Data Science & AI) fundamentals
- Projects on your CV
Interview format
- Questions: 25 questions — 15 multiple choice, 4 predict-the-output, 4 short answer, 2 from your CV
- Time: 45 minutes, timed from the first question
- Difficulty: Intermediate
- Skill area: Frontend
- Price: ₹25 a test
How Texala India interviews
The engineering interviews likely focus on systems design, data structures and algorithms, and domain-specific knowledge in front-end and AI/ML. Candidates are expected to demonstrate proficiency in building scalable applications and solving complex technical problems.
Frequently asked questions
- How many questions are in the Python Developer (Data Science & AI) test?
- 25 questions (15 multiple choice, 4 predict-the-output, 4 short answer, 2 from your CV), with 45 minutes to answer them.
- What does the Python Developer (Data Science & AI) test cover?
- Python, RESTful API development, FastAPI, Flask, Django, Data Structures & Algorithms, Object-Oriented Programming, Scikit-learn, TensorFlow, PyTorch, Python Developer (Data Science & AI) fundamentals, Projects on your CV.
- Is the Python Developer (Data Science & AI) test free?
- It costs ₹25 a test, paid per test with no subscription. Prices in Indian rupees (INR).
- What level is the Python Developer (Data Science & AI) test?
- Intermediate, in Frontend.
- How does Texala India interview?
- The engineering interviews likely focus on systems design, data structures and algorithms, and domain-specific knowledge in front-end and AI/ML. Candidates are expected to demonstrate proficiency in building scalable applications and solving complex technical problems.