Python 3.15 introduces several significant features aimed at improving performance and usability. One of the standout additions is PEP 810, which implements explicit lazy imports. This feature allows developers to mark imports as lazy, deferring module loading until the imported name is first accessed. This change addresses slow startup times in large applications where many modules are imported but not all are used in every run. With lazy imports, the initial overhead of loading modules is reduced, leading to faster application starts without complicating code structure. Another major update is the new profiling module, PEP 799. This module consolidates Python’s profiling tools into a coherent namespace and introduces a new statistical sampling profiler called Tachyon. Tachyon allows developers to analyze performance with minimal overhead. It can gather stack traces from running processes without requiring any code changes or restarts. This is especially beneficial in production environments where performance must be monitored without disrupting service. The profiler supports various modes, such as measuring wall-clock time, CPU time, and GIL-holding time, providing flexibility for different performance investigations. The new lazy import functionality and the profiling module collectively enhance Python's efficiency, making it easier for developers to manage dependencies and diagnose performance issues. Each feature addresses common pain points in software development, streamlining workflows and improving overall application responsiveness. The updates reflect a focus on practical solutions that enhance both performance and developer experience.