In this post we'll go over a potential technical interview problem.

Python came into existence in the late 80’s, which was influenced by the programming languages such as Modula-3 and ABC. Since the first release in 1991 to becoming an open source programming language, Python has evolved through the times and has gained immense popularity among the programmers to this day. Python is powerful, yet simple and easy to learn. With an abundant support of libraries, Python is the most accepted preferred programming language. The rapid growth and utilization of Python as a programming language to various fields of work has seen an increase in the number of job prospects as a python developer, marking a wide range of field of interest for every individual.

Data Science is the hottest job of this century and companies irrespective of the domain they work on are expanding their business to support analytics and make meaning insights from the data. Data has become an asset to every organization wherein it helps in taking business decisions and helps in the growth of the organization.

Are you interested in developing website but confused where to start with? Then this article is for you. There are a lot many web development frameworks available to start with, Django is the rapid wed development framework preferred by most of the web developers and it is also been used by many companies customized for their independent projects.

Django is a free and open-source collection of libraries written in Python, which follows the model-view-template-controller (MVTC) architectural pattern. It is one of the most popular server-side web frameworks with the motto being ‘Don’t Repeat Yourself’. It is maintained by the Django Software Foundation (DSF), an independent non-profit organization.

No longer just for programmers, analysts, researchers, and managers are now learning python programming as well.

Top Reasons to Learn Python

What is a Keywords Dictionary?

A Keywords Dictionary is a set of words put together based on a common theme. Consider this example, you are managing a bank and you want to improve your customer service. You give your customers a feedback form? For you to make sense of what your customers complaint or talk about, you need to have a list of keywords that are related to the business and this is where the need to have a Keywords Dictionary comes in.

In machine learning, we are often in the realm of “function approximation”. That is, we have a certain ground-truth (y) and associated variables (X) and our aim is to use identify a function to wrap our variables in that does a good job in approximating the ground-truth. This exercise in function approximation is also known as “supervised-learning”.