Yes, Python can be used to build scalable applications, especially when using frameworks like Django. Its ecosystem supports various tools and techniques to enhance scalability, such as load balancing and caching.

Python is indeed suitable for building scalable applications, particularly when leveraging robust frameworks like Django or Flask. Scalability refers to the ability of an application to handle increased load without compromising performance. Python's simplicity and readability make it a preferred choice for developers, and its ecosystem provides numerous libraries and tools to facilitate scalability. For instance, Django’s built-in features support database migrations and caching strategies, which can significantly enhance performance as user demand grows. Additionally, developers can implement load balancing techniques by distributing incoming traffic across multiple servers. Using databases optimized for scalability, such as PostgreSQL or NoSQL options like MongoDB, further enhances the application’s ability to scale. Python also integrates well with cloud platforms like AWS and Google Cloud, which offer various services to support scalable architecture. With the right architecture and best practices, Python applications can effectively handle increased user loads.