A Python developer is a highly versatile programmer who uses the Python language to build a wide range of applications. This can include back-end web development, creating APIs, data analysis and visualization, building machine learning models, and automating tasks.

1. Python's popularity stems from its simple, readable syntax, which makes development fast, and its enormous ecosystem of powerful, specialized libraries. There are mature libraries for almost any task, from web development (Django) to scientific computing (NumPy), making it a "Swiss Army knife" of programming.

Django is a high-level, "batteries-included" framework that provides a lot of functionality out of the box (like an admin panel and an ORM). It's great for building large, complex applications quickly. Flask is a "micro-framework" that is much more lightweight and flexible, making it ideal for smaller applications and building APIs.

Yes, Python is the dominant language for AI and machine learning. This is due to its powerful and easy-to-use libraries like Scikit-learn, TensorFlow, and PyTorch, which are the industry standards for building and training ML models.

While Python is an interpreted language, modern Python, combined with well-designed architecture and tools like asynchronous programming (asyncio), is more than capable of powering high-performance, scalable web applications that serve millions of users.

Absolutely. Our Python developers are skilled in using data analysis libraries like Pandas to process and analyze data. They can then build custom web-based dashboards using frameworks like Django or Flask to visualize the data and provide interactive insights for your business.