Error Handling Scaling in Extended Applications with Conway Errors

The article discusses the role of programming using Python in data science. The author emphasizes that Python has become one of the most vital tools in today's data analysis world due to its versatility and the large number of libraries that simplify the analysis process. In particular, the popularity of libraries such as Pandas and NumPy is highlighted, which significantly ease the processing and analysis of large datasets. The growing popularity of technologies related to machine learning and artificial intelligence, which largely rely on Python, is also noted. In summary, the article argues that skills in Python are extremely valuable for anyone working in the field of data analysis and data science.