devxpy

set -ex

sudo apt-get install -y \
    apt-transport-https \
    ca-certificates \
    curl \
    gnupg-agent \
    software-properties-common

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

devxpy

void main() {
  Map<int, String> myIntMap = {5: "hello!"};
  print(myIntMap["5"]);
}

devxpy

"""
Tired of seeing this annoying message - "Waiting for background tasks to complete."?
This hack can take care of that for you!

Usage -
    $ python main.py

Bonus - easy to attach a debugger now
    $ python -m pdb main.py

devxpy

"""
Instructions -

pip install httpx ipython

ipython -i async_vs_threads.py
%timeit asyncio.run(test_threads())
%timeit asyncio.run(test_async())
"""

devxpy

Sentiments of a broken nation
Separated by religions and the hesitation
Vote banks, industries and corporations
Filthy pockets of the rich and famous
At the cost of poverty and desperation
Facing death and struggling daily
Without having a definite solution
Death and problems has no religion
Respect your neighbour from another nation
Fill the hearts with humanity

devxpy

void main() {
  List<int> x = createList();
}

List<int> createList() {
  return ["1", "2", "3", "4", "5"];
} 

devxpy

void main() {
  List<int> x = createList();
}

createList() {
  return ["1", "2", "3", "4", "5"];
} 

devxpy

#
# Adapted from https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_video_display/py_video_display.html#capture-video-from-camera
#

import numpy as np
import cv2

caps = [cv2.VideoCapture(i) for i in range(2)]  # open 2 camera feeds

while(True):

devxpy

var start = DateTime.now()

var db = await appSync.getCacheDatabase();

var pages = appSync.paginate(
  ..., 
  priority: CachePriority.cache, // Try cache first, then network
  cache: db,
);

devxpy

import typing

from django.db import models
from channels.db import database_sync_to_async


M = typing.TypeVar("M", bound=models.Model)


class AsyncCrud: