Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.
Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages.
It supports functional and structured programming methods as well as OOP. It can be used as a scripting language or can be compiled to byte-code for building large applications. It provides very high-level dynamic data types and supports dynamic type checking. It supports automatic garbage collection. It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.
In today's open educational marketplace, technology is the essential factor to differentiate your institution in the eyes of both candidates and donors. Your students expect a secure, technology-enhanced learning environment that simplifies access to high quality content and supports personalized attention.
Your faculty and staff need to communicate and collaborate with mobile flexibility that makes them reachable and lets them work at any location. Budgetary pressures mean you need cost-effective technology that can pay for itself over the short term, while securely handling increased data volume and applications and establishing a solid foundation for coming innovations.