CPython: This is the reference implementation of Python, which is written in C. CPython is the most widely used implementation and is known for its simplicity and ease of use. Jython: Jython is an implementation of Python that runs on the Java Virtual Machine (JVM). It allows Python code to interact seamlessly with Java code, making it useful for integrating Python with existing Java applications. IronPython: IronPython is an implementation of Python that runs on the .NET framework. It allows Python code to interact with .NET libraries and applications, making it useful for developing Windows applications and services. PyPy: PyPy is an implementation of Python that is known for its speed and efficiency. It uses a just-in-time (JIT) compiler to optimize Python code, making it faster than CPython in some cases. Anaconda: Anaconda is a distribution of Python that is popular for data science and machine learning applications. It comes with a wide range of pre-installed libraries and tools that are commonly used in these fields.https://embeddedhash.in/embedded-systems-course-in-hyderabad/