![]() ![]() It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. This will lay a good foundation for those who are interested in digging deeper. As you complete each one, you'll have gained key skills and get ready for the material in the next module.The first module will begin with exploring all the essentials of Python programming in an easy-to-understand way. It follows an interesting learning path, divided into three modules. It has an easy-to-use, simple syntax, and a powerful library, which includes hundreds of modules to provide routines for a wide range of applications, thus making it a popular language among programing enthusiasts.This course will take you on a journey from basic programming practices to high-end tools and techniques giving you an edge over your peers. Python is a dynamic and powerful programming language, having its application in a wide range of domains. Use the multiprocessing library, not just locally but also across multiple machines Understand how and when to use the functional programming paradigm Understand when to use the functional or the object-oriented programming approachĮxtend class functionality using inheritanceĮxploit object-oriented programming in key Python technologies, such as Kivy and Django Grasp the fundamental concepts of coding, along with the basics of data structures and control flow Get Python up and running on Windows, Mac, and Linux in no time The course is mostly self-contained and introduces Python programming to a new reader and can help him become an expert in this trade. This course is meant for programmers who wants to learn Python programming from a basic to an expert level. Learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language Stop writing scripts and start architecting programs by applying object-oriented programming techniques in Python Develop a strong set of programming skills with Pyhton that you will be able to express in any situation, on every platform, thanks to Python's portability ![]()
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