Working of Python Vs Java

# python program to print hello world
print "Hello World"

• In Python, Libraries and frameworks are crucial for machine learning and data science when it comes to a language. Python has an extensive library set specifically designed for machine learning, data science, and artificial intelligence. The developer has access to pre-built functions, modules, and tools such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras, and PyTorch that reduce the amount of code required for data manipulation, analysis, and machine learning model building.

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• Python will give developers direct access to these powerful libraries, which are very important for practical implementation in machine learning. These libraries have been highly optimized and continuously updated because of the widespread adoption of Python in the data science community.
• Python is much simpler, easier to learn and easier to write. Since it’s a dynamic language, you don’t need to write low level details such as the type of each variable or the length of arrays, for example. Python programs are shorter and require less boilerplate. The code is more readable, more English-like, and more succinct.
• Another advantage of python is that you don’t need to compile the code before running it. The interpreter executes it right away, and you can even use the interactive shell to try, explore and experiment while coding.
• But, the speed…