The modern business world faces many new challenges in preserving its confidentiality and data from online attackers. Further, it also faces a struggle with preventing fraud. These challenges threaten businesses internally and externally and can cause huge losses. It is essential for business leaders to be up to date on the current fraud prevention, confidentiality, and data security to protect their businesses. Fraud Prevention, Confidentiality, and Data Security for Modern Businesses provides examples and research on the security challenges, practices, and blueprints for today's data storage and analysis systems to protect against current and emerging attackers in the modern business world. It includes the organizational, strategic, and technological depth to design modern data security practices within any organization. Python is an object oriented, scripted, and interpreted language for both learning and real-world programming. First in this paper, Python is introduced as a language, and a summary given about Data Science, Machine Learning, and IoT. Then, details are provided about the packages that are popular in the Data Science and Machine Learning communities, such as NumPy, SciPy, TensorFlow, Keras, and Matplotlib. After that, the authors will show the working criteria of Python for building IOT applications.