“Welcome to the ‘Data Analysis Using Pandas’ series by ITVersity! In this video, we explore an advanced technique for working with large CSV files in Pandas using chunks. Learn how to process massive datasets efficiently without running into memory issues.
What You’ll Learn in This Video:
✅ How to define and use the chunksize parameter in pd.read_csv().
✅ Efficiently load and process large datasets in smaller chunks.
✅ Practical examples of iterating through chunks using Python generators.
✅ Applying transformations and business logic on data chunks.
By the end of this tutorial, you’ll be equipped to handle large-scale data analysis seamlessly, even with memory constraints. This is an essential skill for data scientists, data engineers, and anyone working with big datasets.
Resources:
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https://www.udemy.com/course/python-for-beginners-hands-on/?referralCode=BADB34312470BFA1A886
Continue Your Learning Journey with Pandas! 🚀
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What’s Next?
Stay tuned as we dive deeper into practical workflows and real-world scenarios involving chunk-based data processing in upcoming videos.
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