Blog - 7 Reasons you should learn Python now Python is a favorite among many developers for its strong emphasis on readability and efficiency, especially when compared to other languages like Java, PHP, or C++. Sure, it’s old, but it’s 1980s old, not Cobol or Fortran old. Besides, if something works, why change it, especially when there are a so many ways to improve it. Actually, depending on how you view it, longevity is a good thing in itself—a sign of stability and reliability. If you’re like many people who first started out with Java, C, or Perl, the learning curve for Python is practically nonexistent. But the fact that it’s easy to learn is also the reason why some people don’t see Python as a necessary programming skill.
Top Hadoop Interview Questions and Answers 2017 1) What are real-time industry applications of Hadoop? Hadoop, well known as Apache Hadoop, is an open-source software platform for scalable and distributed computing of large volumes of data. It provides rapid, high performance and cost-effective analysis of structured and unstructured data generated on digital platforms and within the enterprise. It is used in almost all departments and sectors today.Some of the instances where Hadoop is used:
Django Interview Questions and Answers 2017 Q1).Explain what is Django?Ans1: Django is a web framework in python to develop a web application in python.Django is a free and open source web application framework, written in Python.Q2).Mention what are the features available in Django?Ans2: Features available in Django are Admin Interface (CRUD)TemplatingForm handlingInternationalizationSession, user management, role-based permissionsObject-relational mapping (ORM)Testing FrameworkFantastic Documentation Q3).Mention the architecture of Django architecture?Ans3: Django architecture consists of
Top Data Science Interview Questions 2017 1) How would you create a taxonomy to identify key customer trends in unstructured data? The best way to approach this question is to mention that it is good to check with the business owner and understand their objectives before categorizing the data. Having done this, it is always good to follow an iterative approach by pulling new data samples and improving the model accordingly by validating it for accuracy by soliciting feedback from the stakeholders of the business. This helps ensure that your model is producing actionable results and improving over the time. 2) Python or R – Which one would you prefer for text analytics?