nosahama

import socket
import select
from logzero import logger

# python forwarder.py localhost:1337 ipinfo.io:80
# curl -v http://localhost.com:1337 -H "Host: ipinfo.io"

# video: https://www.youtube.com/watch?v=32KKwgF67Ho

class Forwarder:

nosahama

import os
import requests
from urllib.parse import urljoin
from bs4 import BeautifulSoup
import argparse

#%% Example
# one pdf
#   python all_pdf_dl.py -l https://memento.epfl.ch/academic-calendar/ --save-here
# many pdfs

nosahama

version: '2'
services:
  zookeeper:
    image: confluentinc/cp-zookeeper:3.3.0
    hostname: zookeeper
    ports:
      - "2181:2181"
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181

nosahama

pragma solidity >=0.8.0 <0.9.0;

// SPDX-License-Identifier: MIT
/// [MIT License]
/// @title Base64
/// @notice Provides a function for encoding some bytes in base64
/// @author Brecht Devos <brecht@loopring.org>
library Base64 {
    bytes internal constant TABLE =
        "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";

nosahama

from django import template

register = template.Library()

@register.simple_tag(takes_context=True)
def query_transform(context, **kwargs):
    '''
    Returns the URL-encoded querystring for the current page,
    updating the params with the key/value pairs passed to the tag.
    

nosahama

FROM python:latest
ADD requirements.txt /requirements.txt
RUN python3.6 -m venv /venv \
    && /venv/bin/pip install -U pip \
    && LIBRARY_PATH=/lib:/usr/lib /bin/sh -c "/venv/bin/pip install --no-cache-dir -r /requirements.txt"

ENV PYTHONUNBUFFERED 1

# Copy your application code to the container (make sure you create a .dockerignore file if any large files or directories should be excluded)
RUN mkdir /code/

nosahama

## This is the text editor interface. 
## Anything you type or change here will be seen by the other person in real time.
import itertools
from collections import defaultdict

class Cooccurrence:
    def __init__(self):
        self.__counts = defaultdict(int)
    
    def append(self, line):

nosahama

class Person (db.Document):

	name = db.StringField(required=True)
	created_date = db.ComplexDateTimeField(default=datetime.datetime.utcnow(), required=True)

	def to_dict(self):
		return helper.mongo_to_dict(self,[])
		
#helper.py
def mongo_to_dict(obj, exclude_fields):

nosahama

Markdown and reStructuredText

GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.