Master Pandas: Boost Performance with These 3 Pro Tips

In this video, I'll walk you through three powerful techniques to drastically reduce memory usage in Pandas, perfect for handling large datasets efficiently. You'll learn how to optimize your data processes by only loading what you need, choosing the right data types, and effectively using chunking. Whether you're starting out or looking to enhance your skills, these tips will make your data applications run smoother and faster. Hit like, subscribe, and leave your questions below-I'm here to help and share more about mastering data engineering! 📖Chapters: 00:00 Intro 00:36 Example Walkthrough 07:47 Baseline Memory Usage 09:13 Technique 1 - Read What You Need 11:32 Technique 2 - Use Efficient Data Types 21:31 Technique 3 - Data Chunking 28:07 Outro and Thanks! 🔗Links: - Link to dataset: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand - Pandas blog on categorical data types: https://pandas.pydata.org/pandas-docs/stable/user_guide/categorical.html - Pandas blog on efficiency in pandas: https://pandas.pydata.org/pandas-docs/stable/user_guide/enhancingperf.html