Why Is Python Slow At Writing Large Excel Files? - Python Code School

Why Is Python Slow At Writing Large Excel Files? Ever wondered why Python can be slow when writing large Excel files? In this video, we’ll explore the main reasons behind this performance challenge. We’ll start by explaining the complexities of the Excel file format, which involves creating and compressing multiple XML files within a zipped archive. Next, we’ll discuss how popular libraries like openpyxl and XlsxWriter handle not just data writing but also styles and formatting, adding extra processing time. We’ll also cover how memory management impacts performance, especially with huge datasets, and how modes like XlsxWriter’s constant_memory can help. Additionally, we’ll look at cell-by-cell processing, which, while flexible, can significantly slow down file creation. Lastly, we’ll consider Python’s inherent speed limitations as an interpreted language, especially when handling thousands or millions of cells. Understanding these factors can help you make smarter choices when automating spreadsheet tasks. Whether you’re looking to optimize your scripts or choose the right tools, this video provides practical insights into writing large Excel files efficiently with Python. Don’t forget to subscribe for more tips on Python programming and automation!

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About Us: Welcome to Python Code School! Our channel is dedicated to teaching you the essentials of Python programming. Whether you're just starting out or looking to refine your skills, we cover a range of topics including Python basics for beginners, data types, functions, loops, conditionals, and object-oriented programming. You'll also find tutorials on using Python for data analysis with libraries like Pandas and NumPy, scripting, web development, and automation projects.