nosahama / forwarder.py

Created March 4, 2024 20:51 — forked from LiveOverflow/forwarder.py

TCP Forwarder

	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 / all_pdf_dl.py

Created March 16, 2023 18:29 — forked from hibetterheyj/all_pdf_dl.py

Download all pdf files from a website

	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 / docker-compose.yml

Created July 12, 2022 09:30 — forked from gschmutz/docker-compose.yml

Docker Compose with Kafka Single Broker, Connect, Schema-Registry, REST Proxy, Kafka Manager


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

nosahama / Base64.sol

Created May 31, 2022 22:57 — forked from ryancharris/Base64.sol

Solidity Base64 utilities

	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 <[email protected]>
	library Base64 {
	bytes internal constant TABLE =
	"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";

nosahama / templatetags.py

Created June 11, 2019 11:31 — forked from benbacardi/templatetags.py

Django query_transform templatetag

	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 / Dockerfile

Created May 16, 2019 21:48 — forked from wodCZ/Dockerfile

django, postgres, redis, celery, nginx, uwsgi docker setup

	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 / cooccurrence.py

Last active March 1, 2018 18:13

Cooccurrence Question

	## 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 / gist:1a2177748d59aa0097a59b960fccb444

Created May 25, 2017 20:41 — forked from jason-w/gist:4969476

Helper functions that converts a MongoEngine Document to a Python Dict so it can be easily converted to JSON.

	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 / README.rst

Created February 14, 2017 22:54 — forked from dupuy/README.rst

Common markup for Markdown and reStructuredText

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.

Emmanuel Evbuomwan nosahama

Markdown and reStructuredText