Custom Software Development - Aezion Inc.

Python is a general-purpose, high-level, object-oriented, and easy to learn programming language. It was created by  Guido van Rossum, who is known as the godfather of “Python”.                           Python is a popular programming language because of its simplicity, ease of use, open-source licensing and accessibility — the foundation of its renowned community which provides great support and help in creating tons of packages, tutorials, and sample programs. Python can be used to develop a wide variety of applications — ranging from Web, Desktop GUI based programs/applications to science and mathematics programs, and Machine learning and other big data computing systems. Let’s explore the use of Python in Machine Learning, Data Science and Data Engineering. Machine Learning Machine learning is a relatively new and evolving system development paradigm that has quickly become a mandatory requirement for companies and programmers to understand and use.  Se

Python can be used to develop a wide variety of applications — ranging from Web, Desktop GUI based programs/applications to science and mathematics programs, and Machine learning and other big data computing systems. Let’s explore some key aspects of the Python programming language to get a feel for core features and Python’s user-friendly syntax.                           Python – A Multi-Paradigm Language Python is a multi-paradigm programming language. Meaning it supports different styles of writing code. One can write Python code in a procedural, object-oriented, functional or imperative manner. For this reason, Python is considered a “swiss army knife” in the developer's toolbox. As an “ object-oriented ” programming language, Python supports all the core features of OOP such as abstraction, encapsulation, polymorphism, inheritance, etc. The foundation of OOP is a Class. A class is defined to represent an object that can later be programmatically created