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@mmellison
mmellison / grpc_asyncio.py
Last active April 3, 2024 15:48
gRPC Servicer with Asyncio (Python 3.6+)
import asyncio
from concurrent import futures
import functools
import inspect
import threading
from grpc import _server
def _loop_mgr(loop: asyncio.AbstractEventLoop):
@crmne
crmne / download_zeal_user_docsets.py
Last active June 6, 2022 08:37
A solution to the lack of UI for Dash's user docsets in Zeal. Uses Python 3 and easygui (pip3 install easygui)
"""Download Dash User Docsets and install them in Zeal"""
import configparser
import json
import tarfile
import urllib.request
from pathlib import Path
from sys import platform
import easygui
@KjellKod
KjellKod / concurrentqueue.hpp
Last active April 19, 2018 06:44
G3log: Lock-free using the MPMC dynamic queue from "Moody Camel". 2 files in this gist. concurrentqueue.hpp and at the bottom shared_queue.hpp. See the shared_queue.hpp for how to use this with G3log.
// Provides a C++11 implementation of a multi-producer, multi-consumer lock-free queue.
// An overview, including benchmark results, is provided here:
// http://moodycamel.com/blog/2014/a-fast-general-purpose-lock-free-queue-for-c++
// The full design is also described in excruciating detail at:
// http://moodycamel.com/blog/2014/detailed-design-of-a-lock-free-queue
// Simplified BSD license:
// Copyright (c) 2013-2015, Cameron Desrochers.
// All rights reserved.
@imneme
imneme / randutils.hpp
Last active March 28, 2024 20:43
Addresses common issues with C++11 random number generation; makes good seeding easier, and makes using RNGs easy while retaining all the power.
/*
* Random-Number Utilities (randutil)
* Addresses common issues with C++11 random number generation.
* Makes good seeding easier, and makes using RNGs easy while retaining
* all the power.
*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Melissa E. O'Neill
*
@debasishg
debasishg / gist:8172796
Last active May 10, 2024 13:37
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
@mtigas
mtigas / gist:952344
Last active April 3, 2024 07:57
Mini tutorial for configuring client-side SSL certificates.

Client-side SSL

For excessively paranoid client authentication.

Updated Apr 5 2019:

because this is a gist from 2011 that people stumble into and maybe you should AES instead of 3DES in the year of our lord 2019.

some other notes:

@huyng
huyng / matplotlibrc
Created February 8, 2011 15:50
my default matplotlib settings
### MATPLOTLIBRC FORMAT
# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).