India

Currently, Python is doing to Java what Java did to C/C+ when Java was at its peak. Back in those days many applications which needed performance did still use C/C+ but accompanied by high maintenance costs from the sheer amount of code written to achieve simple tasks and also the difficulty in building OS and machine independent applications. However, things changed in favor of Java when computers became powerful and hardware costs came down. People (like me) who looked down on using Java to build applications started accepting Java's advantages in building applications. Back then Python was primarily used as a scripting tool and was used in building test automation (and it still is being used for that purpose too.). Now comes the glorious age of data science and various tech startups in e-commerce and social space. What could be done by writing a thousand lines Java code is achieved in a couple of lines of code in Python. This means that there is less maintenance of code. On top of this, Python does not have arcane syntax and the code is pretty much human readable. For machine learning applications there are very good libraries such as Pandas, sci-kit-learn, etc. The primary advantage with Python is that focus can be put on solving business problems rather than spending the most time on fixing bugs related to faulty code. Coming to web development frameworks such as Django, Tornado provides a wide range of needs from quick development to high-performance websites.