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The importance of data science and machine learning is evident in all the domains where any kind of data is generated. The multi aspect analysis and visualizations help the society to come up with useful solutions and formulate policies. This paper takes the live data of current pandemic of Corona Virus and presents multi-faceted views of the data as to help the authorities and Governments to take appropriate decisions to takle this unprecedented problem. Python and its libraries along with Google Colab platform is used to get the results. The best possible techniques and combinations of modules/libraries are used to present the information related to COVID-19..

The Internet of Things is giving a bright future and with establishment and maturity of wireless sensor networks, it can be truly realised for the various purposes of human endeavour. The paper deals with challenge to integrate the data coming from heterogeneous sensor networks coming from various geographical locations. A Sensor Web Registry is proposed to achieve this task. The outcome of this effort is further realised by using Semantic Web Technologies like Ontologies, OWL, SPARQL and Python. The paper used all this practically using a Micaz Sensor Boards with Zigbee protocol in a lab setup.

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File less attacks cause immense problems for the users of the computer system as these attacks cannot be easily detected by the system users and remain invisible while cursing tremendous amounts of damage to the system. These attacks can even lead to monetary losses of the users while making banking transactions and hence leads to the loss of personal data. Cyber security is being provided by providing protection in income traffic which is done by the scanning of the data that is being taken from the online resources. There are different types of malware present, and hence security level should also vary based on the level of attacks that are being provided by the system. Antivirus is being developed by Norton, Kaspersky and VMware that provides protection against the file less malware that is developed in the system without the prior consent of the users and hence causing harm to the user system.