People Analytics Design Company

Learning

“Make everything simpler, but not simple” - Albert Einstein

Code (SQL, Python, Node.JS)

Structured Query Language (SQL) is a standard computer language for relational databases and for performing various data operations. The software is coded to query, join, merge, update, and modify data. As a relational data system, it is comprised of a set of tables with columns and rows that contain data. As the original code for databases, SQL excels at accessing and organizing data, is relatively easy to learn, and is thus almost common knowledge among coders.

Python is a general purpose, high-level coding language that has long been used to develop software on the web and in apps; in recent years, however, it has found increasing popularity among professionals who work with data. Python was designed to empower its users, emphasizes code readability, and leverages syntax that allows programmers to accomplish tasks in fewer lines of code than prior languages. Python users tout its use due to its easiness to learn, the accessibility of the language, its expansive library of open source data tools and testing instruments.

Node.js is an open-source, cross-platform JavaScript run-time environment that executes JavaScript code outside of a browser. Node.js supports web applications with real-time, two-way connections, where both the client and server can initiate communication, allowing them to exchange data freely. Consequently, Node.js unifies web application development around a single programming language (JavaScript) rather than different languages for server side and client-side scripts. Node.js shines in real-time web applications employing push technology over the WebSocket API. Node.js is useful for developing data applications designed to run on the web and for extracting and moving data between web applications.