florimondmanca

Usage

• Generate TLS certificates for localhost:

pip install trustme-cli
trustme-cli

• Run wrk on each endpoint, eg:

sevaa

drop function if exists MurmurHash64B;
delimiter $$
create function MurmurHash64B(s longblob, seed int unsigned)
returns bigint unsigned
deterministic no sql
begin
    declare m int unsigned default 0x5bd1e995;
    declare r int default 24;
    
    declare len int default length(s);

PaulSec

user www-data;
worker_processes 4;
pid /run/nginx.pid;

http {

    server {
        listen 80 default_server;
        listen [::]:80 default_server ipv6only=on;
        return 301 https://$host$request_uri;

Orenoid

import datetime
import time
from _thread import RLock
from functools import update_wrapper, _make_key, _CacheInfo

# Check the example at the end of this script.


class Node:
    """node of the circular doubly linked list"""

dabeaz

Code from PyCon India 2019 Keynote Talk
David Beazley (https://www.dabeaz.com)
======================================

This code is presented "as is" and represents what was live-coded
during my closing keynote presentation at PyCon India, Chennai,
October 13, 2009.  I have made no changes to the files.

Requires:  Python 3.6+, numpy, pygame

simonw

with recursive thread as (
    select id, in_reply_to_status_id, 0 as depth
        from tweets
        where in_reply_to_status_id is null
    union
        select tweets.id, tweets.in_reply_to_status_id, 1 + thread.depth as depth
        from thread join tweets on tweets.in_reply_to_status_id = thread.id)
select * from thread order by depth desc

robinhouston

create table tweet (
  id serial,
  in_reply_to integer references tweet(id)
);

insert into tweet (id, in_reply_to)
values (1, NULL),
       (2, NULL),
       (3, 2),
       (4, 3),

ines

"""
Example of a Streamlit app for an interactive Prodigy dataset viewer that also lets you
run simple training experiments for NER and text classification.

Requires the Prodigy annotation tool to be installed: https://prodi.gy
See here for details on Streamlit: https://streamlit.io.
"""
import streamlit as st
from prodigy.components.db import connect
from prodigy.models.ner import EntityRecognizer, merge_spans, guess_batch_size

ktaletsk

List of Jupyter Lab extensions and my personal (subjective) assesment of their readiness

Name	Functionality	Readiness	Link
JupyterLab git	GUI for git	Ready to use	https://github.com/jupyterlab/jupyterlab-git
SoS	Polyglot notebooks with interop	Ready to use	https://github.com/vatlab/jupyterlab-sos
JupyterLab Commenting	Commenting on Notebook cells and lines in files

zzzeek

""" "Writing SQL is just as fast as using an ORM" proof of concept

Below is a simple Python object model, where we represent a database that
stores the names of employees at a company, some of whom are "engineers",
and a list of the jobs they do and the programming languages they use.

We'd like to persist the state represented by this Python object model
in a relational database, using our Python objects as a start.  Then we'd
like to write SQL queries for rows in this database, and we get back instances
of Python objects exactly as they were created.