Den1al

# pyenv
sudo apt-get install -y --no-install-recommends make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev
git clone https://github.com/pyenv/pyenv.git ~/.pyenv
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.zshrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.zshrc
echo -e 'if command -v pyenv 1>/dev/null 2>&1; then\n  eval "$(pyenv init -)"\nfi' >> ~/.zshrc
source ~/.zshrc
pyenv install 3.7.4
pyenv global 3.7.4

Den1al

# general
sudo apt-get update
sudo apt-get upgrade -y

# zshrc
sudo apt install -y zsh 
sudo apt-get install -y powerline fonts-powerline
git clone https://github.com/robbyrussell/oh-my-zsh.git ~/.oh-my-zsh
cp ~/.oh-my-zsh/templates/zshrc.zsh-template ~/.zshrc
sudo chsh -s /bin/zsh ubuntu

Den1al

import { lookup } from 'dns';

export default async function(name) {
  return new Promise((resolve, reject) => {
    lookup(name, (err, ips) => {
      if (err) {
        reject(err);
      } else {
        resolve(ips);
      }

Den1al

from sanic import Sanic, Blueprint
from jinja2 import Environment, PackageLoader, select_autoescape
from sanic.response import html


def get_package_name():
    return __name__.split('.')[0]


class InjectJinjaSupport(object):

Den1al

import pandas as pd
from matplotlib import pyplot as plt

plt.figure(figsize=(10,5))

ax = df.column1.sort_values(ascending=False).head(10).plot.barh()
ax.set_title("My Awesome Title", fontsize=12)

for patch in ax.patches:
    ax.text(

Den1al

def explode(df, by_column, new_col_name):
    rows = []

    for row in df.itertuples():
        for value in getattr(row, by_column):
            rows.append({
                new_col_name: value,
                **{
                    key: getattr(row, key)
                    for key in row._fields

Den1al

#!/usr/bin/python
#
# Pickle deserialization RCE payload.
# To be invoked with command to execute at it's first parameter.
# Otherwise, the default one will be used.
#

import cPickle
import sys
import base64

Den1al

@
*
0
00
0-0
000
0000
00000
000000

Den1al

# author: @Daniel_Abeles
# date:   13/02/2018

# assuming we have a data frame called "df"
# we can "groupby" by a column col1
# and collect all the distinct values of col2

df.groupby("col1").agg({
    "col2": lambda x: set(x)
})

Den1al

# author: @Daniel_Abeles
# date:   23/12/2017


def inject_generic_repr(cls):
    """ Injects a generic repr function """
    def generic_repr(that):
        class_items = [f'{k}={v}' for k, v in that.__dict__.items()]
        return f'<{that.__class__.__name__} ' + ', '.join(class_items) + '>'