Advantages of Python: Easy to Learn and Use: Python has a simple and readable syntax making it easy for beginners to learn and write code. It emphasizes code readability, reducing the learning curve for new programmers. Versatile and Powerful: Python is a versatile language that supports various programming paradigms including object-oriented, functional and procedural programming and offers a wide range of libraries and frameworks, making it suitable for diverse applications. Large Standard Library: Python comes with a rich standard library, providing a vast collection of modules and functions that simplify common programming tasks. This extensive library saves developers time and effort in implementing functionalities. Community and Support: Python has a massive and active community of developers who contribute to its growth and offer support through forums, mailing lists and online resources and this community-driven approach ensures a wealth of knowledge and assistance is available. Web Development: Python’s frameworks like Django and Flask simplify web development, enabling the creation of scalable and secure web applications efficiently. Disadvantages of Python: Slower Execution Speed: Python is an interpreted language, which means it tends to be slower in execution compared to compiled languages like C++ or Java and this may be a concern for performance-critical applications. Global Interpreter Lock (GIL): Python’s GIL limits the execution of multiple threads at the same time in a multi-core CPU environment and this can impact the performance of CPU-bound applications. Mobile App Development: Python is not the primary choice for mobile app development, as other languages like Swift for iOS and Java/Kotlin for Android are more commonly used. Database Access: While Python offers database access through libraries like SQLAlchemy, it may not be as efficient as languages that have native support for databases. Less Suitable for Memory-intensive Tasks: Python’s memory consumption can be higher compared to languages like C or C++, making it less ideal for memory-intensive tasks or low-level programming. Limited Mobile Support: Although Python has frameworks like Kivy for mobile app development, it may not have the same level of native support as other languages for mobile platforms.