How to Process Large JSON Files in Python Without Crashing Memory
Loading massive datasets into Python often causes memory usage to skyrocket. By utilizing the ijson library for iterative streaming, developers can parse gigabyte-scale JSON files efficiently line by line. This approach prevents system crashes and optimizes resource management, making data processing significantly faster and more reliable for resource-constrained environments.
Source: KDnuggets