Welcome to another tutorial on real-time data in MS Excel! In our previous sessions, we explored building add-ins in VBA to display real-time information. Today, we’re diving into the world of Python, leveraging Real-Time Data Server technology to showcase real-time data in MS Excel. Unlike traditional methods, we’ll create our own functions in Python to access real-time information, focusing on CPU and RAM usage for learning purposes. First, we’ll download and install a Python library that integrates Excel with Python. After installing the library as an add-in in MS Excel, we’ll explore how to use Python functions seamlessly within Excel, generating real-time data such as the current date and time. We’ll also delve into creating a Python code file for an RTD server, addressing CPU and memory performance metrics. Along the way, we’ll encounter challenges with code formatting and resolve them using a proper code editor. Finally, we’ll build a dynamic dashboard in MS Excel, showcasing real-time updates of CPU and memory usage through charts and formatting. Follow along for a step-by-step guide, and don’t forget to like, subscribe, and hit the bell icon for more insightful tutorials and updates.
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