Abstract
AbstractIndustry 4.0 paradigm use methods and techniques that use diverse disciplines including Mathematics, Statistics, Machine Learning, Cloud Computing, Internet of Things, Mobile Computing, Block Chains, Computer Vision, Natural Language Processing, Cyber Security, etc. It is difficult to find software platforms that can be used to teach these at affordable costs, which is an important factor for educational institutes. It was found that open source or free tools such as Anaconda, Python, R, GRETL and others offer good option at low cost. These tools are then compared, and we conclude that Python is the ideal tool for setting up laboratories that can cover most Industry 4.0 areas at affordable cost. To establish this, this chapter examines many of the important Industry 4.0 areas, and explains how core Python, and its many open source libraries can be used to create hands-on sessions to teach students. It is expected that this will help create Industry 4.0 laboratory infrastructure at affordable cost. The approach used is to report findings from experience gained over several years at an institute of higher learning where laboratories were set up to provide hands-on experiments in the newer technology areas.KeywordsIndustry 4.0Open source softwareAnacondaPythonRGRETL
Published Version
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