Python Isn't a Trend. It's the Standard. If you work with data in any capacity, whether wrangling CSVs for a monthly report or building production dashboards for executive stakeholders, you will eventually encounter Python. Not as an option. As the default. A decade ago, data analysis meant Excel, maybe some VBA macros if you were ambitious. Organisations that needed serious number-crunching turned to proprietary tools like SAS, SPSS, or MATLAB, typically running on expensive enterprise licences. Those tools served their purpose, but they buckled under the demands of modern data volumes and the pace at which teams now need to iterate. As companies scaled their data operations, they gravitated toward Python, drawn by its readability, its zero licence cost, and an open-source ecosystem that covers everything from flat-file parsing to deep learning. The entire modern analytics stack leans on Python.…