DEV Community: Mohamed Achouri

🐍 Python Interview Mastery 2026: What Recruiters Actually Ask

Mohamed Achouri — Sun, 12 Apr 2026 10:27:46 +0000

🔑 Core Python Topics You Must Master

Most interviews focus heavily on fundamentals.

Expect questions like:

Difference between list vs tuple
Mutable vs immutable objects
How memory is managed in Python
What is PEP 8 and why it matters
How *args and **kwargs work

💡 These are asked very frequently because they test your understanding of Python basics ([DEV Community][1])

⚙️ Practical Coding Questions

Interviewers love real coding tasks.

Examples:

Reverse a string ([::-1])
Find duplicates in a list
Merge dictionaries
Write a Fibonacci generator

👉 These problems test logic + Python fluency, not just theory ([DEV Community][2])

🧠 Advanced Python Concepts (Where Most Fail)

To stand out, you MUST understand:

Decorators and closures
Generators vs iterators
List comprehensions vs generator expressions
OOP (inheritance, polymorphism, MRO)
Exception handling

👉 Many candidates fail because they know basics but not deeper concepts ([DEV Community][3])

🔥 Real Interview Questions You May Face

Here are some examples:

1. What is the difference between a generator and an iterator?

👉 Expect explanation + example

2. Why are Python dictionaries fast?

👉 Hash tables, O(1) access

3. What is the GIL (Global Interpreter Lock)?

👉 Important for multithreading questions

🚀 Want 50+ Python Interview Questions with Answers?

Instead of listing everything here, I created a complete guide with real answers and explanations:

👉 https://www.kodivio.org/blog/python-interview-questions

Inside you’ll find:

Beginner → advanced questions
Coding exercises
Real interview scenarios

📈 Final Tips to Succeed

Practice coding daily (LeetCode / real problems)
Write clean, readable code
Explain your thinking clearly
Focus on Pythonic solutions

Data Science & LLM Mastery 2026: Must-Know Interview Questions (With Real Insights)

Mohamed Achouri — Sun, 12 Apr 2026 10:24:37 +0000

🧠 Core Data Science Concepts You Must Know

Before jumping into LLMs, you need strong fundamentals:

Difference between Supervised vs Unsupervised Learning
Bias-Variance tradeoff (very common in interviews)
Overfitting vs Underfitting
Evaluation metrics (Precision, Recall, F1-score)
Feature engineering techniques

👉 Interview tip: Always explain with real examples, not just definitions.

🤖 LLM & AI Concepts (2026 Edition)

With the rise of tools like ChatGPT, Gemini, and open-source models, interviewers focus on:

What is a Large Language Model (LLM)?
How does tokenization work?
What are embeddings and why are they important?
Fine-tuning vs Prompt Engineering
Retrieval-Augmented Generation (RAG)

💡 Pro tip: Many candidates fail because they know the terms but can’t explain practical use cases.

⚡ Real Interview Questions

Here are some examples you might face:

1. What is the difference between an LLM and a traditional ML model?

👉 Expected: Architecture, training data size, and use cases.

2. How would you improve the performance of a model?

👉 Mention:

Feature engineering
Hyperparameter tuning
More data
Regularization

3. What is RAG and why is it important?

👉 Explain how it reduces hallucinations in LLMs.

🔥 Want the Full List (50+ Questions + Answers)?

Instead of listing everything here, I compiled a complete interview guide with detailed answers, examples, and explanations:

👉 https://www.kodivio.org/blog/data-science-llm-interview-questions

This includes:

Advanced LLM questions
Real-world scenarios
Practical tips to stand out in interviews

📈 Final Advice

Don’t memorize — understand concepts deeply
Practice explaining out loud
Build small projects (this is a BIG advantage)
Stay updated (AI evolves fast 🚀)

[Boost]

Mohamed Achouri — Sat, 28 Mar 2026 10:07:49 +0000

Mohamed Achouri

Mar 28

🔥 Brain Challenge Alert! 🧠

Comments

1 min read

🔥 Brain Challenge Alert! 🧠

Mohamed Achouri — Sat, 28 Mar 2026 09:54:41 +0000

I added the classic 2048 puzzle game to our platform Kodivio, where developers can explore tools, courses, and small coding projects.

If you like logic games, try it here:
👉 https://www.kodivio.org/games/2048-game

The game is built to be simple, fast, and playable directly in the browser.
Feedback from the dev community is welcome!