Dansyuqri

# single_pub_coro.py
# This is a reimplementation of the https://gist.github.com/Dansyuqri/3b533d0f11f3ddd53da34686434309d7 gist
# which allows for all functions to run asynchronously using coroutines.

import asyncio
import time
import zmq
from zmq.asyncio import Context

host = "127.0.0.1"

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# multi_pub_coro.py
# This is a reimplementation of the https://gist.github.com/Dansyuqri/93b8df592946cf5ec2158aa10c13bbcc gist
# which allows for all functions to run asynnchronously using coroutines.

import asyncio
import time
import zmq
from zmq.asyncio import Context, Poller

host = "127.0.0.1"

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# multi_pub.py

import time
import zmq
from threading import Thread

host = "127.0.0.1"
port = "5001"

ctx = zmq.Context()

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# multi_sub.py

import zmq
from threading import Thread

host = "127.0.0.1"
port = "5001"

ctx = zmq.Context()

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# simple_pub.py
import zmq
import time

host = "127.0.0.1"
port = "5001"

# Creates a socket instance
context = zmq.Context()
socket = context.socket(zmq.PUB)

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# multipart_pub.py
import zmq
import time

host = "127.0.0.1"
port = "5001"

# Creates a socket instance
context = zmq.Context()
socket = context.socket(zmq.PUB)

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FCC Tribute Page w Test Suite

A Pen by Muhammad Syuqri on CodePen.

License.

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Keybase proof

I hereby claim:

• I am dansyuqri on github.
• I am dansyuqri (https://keybase.io/dansyuqri) on keybase.
• I have a public key ASCyYhqIrmTFbPjWdXpVuQd0WHtAw62An70p4WS6BHTuygo

To claim this, I am signing this object:

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#!/bin/bash

# Update existing list of packages
sudo apt update

# Install packages required to allow apt install over HTTPS
sudo apt install apt-transport-https ca-certificates curl software-properties-common

# Get official GPG key from Docker
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

Dansyuqri

In pandas it is much faster to query a row independently of the headers and then using dict and zip to convert into header to column value mapping rather than using the in-built to_dict method.

import pandas as pd
import os, time

dataframe = pd.read_csv("data.csv", index_col=False)
start_time = time.time()
row = dataframe.loc[[25], list(dataframe)].to_dict("records")[0]
print("TIME: {}".format(time.time() - start_time))