Search results
19 sty 2018 · How to speed up Python application startup time. # python. I hear pipenv 9.0.2 is released with major startup time improvement. I tried it soon and I didn't feel it's fast. So I investigated it with Python 3.7's new feature. In this article, I introduce the feature and how to use it. Startup time ≒ import time.
8 sty 2023 · several points to consider: "Time to init pool" is wrong. The child processes haven't finished starting, only the main process has initiated their startup. Once the workers have actually started, the speed of "Time to reach run" should drop to not include process startup.
When Python starts, the interleaving of __import__ with the unmarshal step and top-level code execution of modules makes it difficult to profile where time is being spent. If you look at a profile trace or output from -X importtime , those costs are intermixed.
Python. 1 import time 2 3 start_time = time.time() 4 5 for i in range(100): 6 print(i) 7 8 end_time = time.time() 9 print(f"It took {end_time-start_time:.10f} seconds to compute") There’s a small delay at the beginning when you run it with PyPy, while CPython runs it instantly.
Python Startup Time. ¶. CPython startup is “slow”: takes between 8 ms and 100 ms depending on the Python version, the operating system, how many .pth files are installed, if Python runs into a virtual environment, etc. See: https://github.com/bdrung/startup-time.
26 lip 2019 · However, the solutions you reach when developing quickly aren’t always optimized for python performance. When you’re trying to shave seconds—or even minutes—from execution time, it’s good to get a reminder of strategies that might help. The strategies on this list can help you make your applications as fast as possible.
I've spent a while trying to improve IPython startup time (it's still pretty bad, but it's been worse), so I'm excited to see that Python 3.7 will make this easier to test. One trick I like to do is to simulate a cold start to get an idea of the worst case performance.
