Excel has evolved over the last few years, making it completely different compared to what it was a decade ago. It boasts of more user-friendly features and more effective functionalities for all sorts of businesses. It has advantages such as flexibility along with providing a simple and powerful computational model. The reactive model of Excel allows calculations in real-time.
Advanced Excel skills are still in high demand, especially in the financial sector. But, in the data science industry, Python is fast picking up as a competing tool against Excel. While there can be no grounds for comparing the two, in this article we set out the many overlapping areas that make Python a much-favoured tool over Excel, especially for data scientists.