AMD cpu 사용자 중, 파이썬 넘파이 조합으로 제대로 된 성능을 원하신다면 OpenBLAS를 써야하네요. 설치단계에서 라이브러리인 MKL이 설치가 기본값인가 봅니다. 출처의 5번 단계 참고하셔서 파이썬 넘파이 설치 단계에서 OpenBLAS를 지정하시면 됩니다. 결과를 인용하면 다음과 같습니다. - MKL은 Intel CPU에서 엄청난 성능 AVX512 최적화 - OpenBLAS는 AMD CPU에서 AVX2 수준까지 우수한 최적화 아래 2개 링크에서 Julia도 OpenBLAS를 사용해야 한다는정보가 있으니 참고하세요. https://github.com/xianyi/OpenBLAS/issues/1090 https://discourse.julialang.org/t/openblas-is-faster-than-
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more - iovisor/bcc
Terminal emulator in pyqt, https://pythonbasics.org/pyqt/ - petercour/terminal-emulator-example-pyqt
Cron Monitoring. Monitor nightly backups, weekly reports, cron jobs and scheduled tasks. Receive alerts when your tasks don't run on time.
Manipulate audio with a simple and easy high level interface - jiaaro/pydub
이 플랫폼을 시작한 첫 주부터 저는 시계열 분석이라는 주제에 매료되었습니다. 이 커널을 시계열 분석에서 다양한 주제를 다루기 위해 만든 커널입니다. 저는 시계열 분석에서 초보자와 숙련자 모두에게 ultimate reference(궁극적 레퍼런스)를 만들고 싶었습니다
You’re writing software that processes data, and it works fine when you test it on a small sample file. But when you load the real data, your program crashes. The problem is that you don’t have enough memory—if you have 16GB of RAM, you can’t load a 100GB file. At some point the operating system will run out of memory, fail to allocate, and there goes your program. So what can you do? You could sp
A library and tool for generating .pex (Python EXecutable) files - pantsbuild/pex
Parse strings using a specification based on the Python format() syntax. - r1chardj0n3s/parse
#pyqt5 #python #okaydexter #tutorial PyQT5 Tutorial - GUI Calculator Application Using QT Designer In this video we'll be seeing how to create a simple GUI based calculator using PyQT5 module in python with the help of Qt Designer. GitHub link for the code - https://github.com/abhishek305/Pyqt5-GUI-Calculator- PyQt5 Designer Tutorial Video - https://youtu.be/6tV6G4JAuSs PyQt5 Student Recor
"Speakers: Lisa Guo, Hui Ding Keynote Slides can be found at: https://speakerdeck.com/pycon2017 and https://github.com/PyCon/2017-slides"
run, monitor and closer remote SSH processes automatically
Robust and effective logging for Python 2 and 3. Contribute to metachris/logzero development by creating an account on GitHub.

Copyright © 2019. All Rights Reserved