Скачать или смотреть What Makes SQLite Slow With Big Python Data? - Python Code School

What Makes SQLite Slow With Big Python Data? Are you curious about why working with large datasets in Python using SQLite can slow down your applications? In this video, we’ll cover the main reasons behind SQLite’s performance issues with big data. We’ll explain how data management, indexing, transaction handling, and disk input/output play a role in slowing things down when working with extensive datasets. You’ll learn why inserting or updating large amounts of data can cause bottlenecks and how creating and managing indexes can impact both read and write speeds. We’ll also discuss best practices such as wrapping multiple inserts into a single transaction, using the JSON extension for passing large data sets efficiently, and delaying index creation until after data loading. Additionally, we’ll explore how SQLite’s single-threaded nature and reliance on disk speed can limit performance with very large files. If your project involves handling massive datasets or complex data analysis, we’ll suggest alternative database options better suited for such tasks. Understanding these points will help you optimize your Python applications and improve database interactions. Whether you’re a developer or data analyst, this video offers practical tips to make your database operations faster and more efficient.

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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.