Python Assignment Solution
Best for enterprise software development: Python is used by world-class organizations such as Google, Microsoft, Facebook, Quora, Instagram, Netflix, Spotify and many more
Smooth integration: Python offers smooth integration that make it such a great choice for enterprise software applications. Developers can easily integrate Python with traditional enterprise programming languages such as Java (using Jython), .NET (IronPython) or PHP (PiP - Python in PHP).
All these advantages make and remain one of the most popular programming languages or a powerful usable application in industries.In the internet domain, java’s popularity has increased tremendously, especially on the server-side of the internet. Python landed second among the most-used programming languages and the languages with the most active repositories on GitHub – beat out only by JavaScript in both categories.
Basic skill sets expected when you hire Python Developer:
Knowledge of Object Oriented Programming: Great Python developers should be good in the implementation of object oriented design patterns and can architect their code effectively in an OO way.
Knowledge of the Core Python: Need to basic module, control flow and exception, import, and creating packages.
Web frameworks: knowledge of framework like Django
Knowledge of Databases: SQLite queries is another thing that great Java developers tend to have. Basic CRUD operations and things like joins, aggregations, and indexing are all big parts of it.
Developing and using RESTful APIs: Understanding how to use RESTful APIs is necessary to integrate your application with other components.
Known with XHTML, CSS, JavaScript and jQuery code
Agile Development approaches including, but not limited to, Scrum
Python glossary for technical recruiters when hire Python Developer
Python web frameworks: Django, Flask, Bottle, Tornado, web2py
ORM: SQLAlchemy, Django ORM
Python build tools: Setup-tools, pip, tox
Test frameworks: UnitTest, py.test, nose
Asyncio: Python 3.5, Tornado, Twisted
Data analysis tools: NumPy, SciPy, Pandas

















