p403n1x87

8 ms·

31.
by p403n1x87 5y ago
Austin can make heat maps in VS Code :) https://marketplace.visualstudio.com/items?itemName=p403n1x8...
32.
by p403n1x87 5y ago
Cheers! I have now released v1.0.0 of the TUI. The pip command requires an option to install pre-releases and that's why it was probably installing the old 0.2.0 version. As for the async profiles, I'd not expect the event loop ow
33.
by p403n1x87 5y ago
Thanks for reporting this. Do you mean an async tracee? Austin(p) handles all sorts of Python code, so should work with async like any other code.
34.
by p403n1x87 5y ago
If you follow the call stack carefully you should be able to get to the point where sklearn calls ddot_kernel_8 (indirectly in this case). Austin(p) reports source files as well, so that shouldn't be a problem (provided all the debug s
35.
by p403n1x87 5y ago
You'd normally look at a more convenient visualisation of this data, usually in the form of a flame graph, which shows you aggregated figures for functions and the actual call stacks. If you don't care much about %'s you coul
36.
Spy on Python down to the Linux kernel level(p403n1x87.github.io)
96 points by p403n1x87 5y ago|10 comments
37.
Spy on the Python garbage collector with Austin 3.1(github.com)
1 points by p403n1x87 5y ago|0 comments
38.
The Mathematical Foundations of Machine Learning(amazon.co.uk)
1 points by p403n1x87 5y ago|0 comments
39.
Show HN: Austin VS Code – Python code interactive performance insight(marketplace.visualstudio.com)
2 points by p403n1x87 5y ago|0 comments
40.
How to bust Python performance issues(p403n1x87.github.io)
2 points by p403n1x87 5y ago|0 comments
41.
Show HN: Austin VS Code – Interactive Python Profiling in VS Code(marketplace.visualstudio.com)
2 points by p403n1x87 5y ago|1 comments
42.
by p403n1x87 5y ago
Make sure you have Austin ( https://github.com/P403n1x87/austin ) installed. See https://p403n1x87.github.io/how-to-bust-python-performance-i... for an example.
43.
Austin – CPython frame stack sampler v3.0.0 is now available(groups.google.com)
1 points by p403n1x87 5y ago|0 comments
44.
The Mathematical Foundations of Machine Learning(amazon.co.uk)
3 points by p403n1x87 5y ago|1 comments
45.
by p403n1x87 5y ago
This book is a mathematical cross-section of the fundamentals of modern Machine Learning. The main ideas behind the three main paradigms of ML (Supervised, Unsupervised and Reinforcement Learning) are analysed from the perspective of the un
46.
by p403n1x87 6y ago
I am delighted to announce the release 2.1.1 of Austin, an open-source frame stack sampler for CPython. It can be used to obtain statistical profiling data out of a running Python application without a single line of instrumentation. This m
47.
by p403n1x87 6y ago
That should work
48.
by p403n1x87 6y ago
true that
49.
by p403n1x87 6y ago
Ah! Totally a typo, thanks for that :)
50.
by p403n1x87 6y ago
yep :)
51.
by p403n1x87 6y ago
Running Python is not a performance cost. The meaning behind "no performance cost" is that a tool like this is unlikely going to impact the performance of the application that is being profiled. The fact that Python is not a &quot
52.
by p403n1x87 6y ago
I wrote a blog post about the technology behind the TUI https://p403n1x87.github.io/the-austin-tui-way-to-resourcefu... It's a custom resource-based framework that uses curses as back-end.
53.
by p403n1x87 6y ago
For these kind of things one could use https://github.com/P403n1x87/austin-python An early attempt at an APM that was specifically designed to measure endpoint response times was here https://github.com&#x2F
54.
by p403n1x87 6y ago
One benefit of Austin-based tools is that they don't require any instrumentation/extra configuration. The low overhead means that you can just attach to an application that is running in production.
55.
by p403n1x87 6y ago
All good points. The "no performance cost" is indeed more like "negligible performance costs". That's because these days multicore architectures are quite ubiquitous and standard Python applications are single proce
56.
by p403n1x87 6y ago
as easy as profiling with Austin itself. Just pass the pid of the web server sudo austin-tui -Cp <webserverpid> See https://github.com/P403n1x87/austin#examples for more details. To avoid using sudo on Linux you
57.
Show HN: Austin-Tui – Spy inside a running Python program at no performance cost(github.com)
256 points by p403n1x87 6y ago|36 comments
58.
How to make text-based user interfaces with Python the Austin TUI way(p403n1x87.github.io)
1 points by p403n1x87 6y ago|0 comments
59.
by p403n1x87 6y ago
That's a good idea and planned for the next release.
60.
Pytest-austin: performance regression testing with no instrumentation(github.com)
45 points by p403n1x87 6y ago|10 comments

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