NumPy, also known as Numerical Python, was created by Travis Oliphant, accomplished by blending the features of Numarray into a Numeric package. NumPy has acted as a “replacement” for Matlab (used for technical computing) in the past; How? The combination of NumPy with packages like SciPy (known as Scientific Python) and Mat−plotlib (plotting library), has been treated as a Python Alternative to Matlab, thus being observed as a more modern and organized programming language. Since NumPy is open source, it is an extra advantage for programming aspirants and experienced developers.
Functional programming is a programming paradigm in which it is tried to bind each and everything in pure mathematical functions. It is a declarative type of programming style that focuses on what to solve rather than how to solve (aimed by the imperative style of programming).
Clojure, Common Lisp, Erlang, Haskell, and Scala are some of the notable programming languages following the functional programming approach. The programming paradigm is based on lambda calculus, which is briefly explained below:
Storing data in relational models is not new. The RDBMS(Relational Database Management System) has been in vogue for decades, especially for web-based enterprise applications. The rapid increase in distributed and cloud computing, and changing expectations of data users in data storage and management, paved the way to the two most popular open source databases- MySQL and MongoDB.
Deciding whether to use a SQL-based database or a NoSQL-based database is one of the most important decisions to be made in the planning phase of any project.
Both data management systems have their own application areas, advantages and disadvantages. Before moving on to explain the 8 major differences between SQL and NoSQL database management systems, let us first have a brief introduction of the two contenders.