AbdouSeck

function rot13(encodedStr) {
  var alphabet = "abcdefghijklmnopqrstuvwxyz".toUpperCase().split("");
  var codeArr = encodedStr.split("");
  var decodedArr = [];
  decodedArr =  codeArr.map(function(a) {
    if(alphabet.indexOf(a)!==-1) {
      if(alphabet.indexOf(a)<13) {
        return alphabet[26+alphabet.indexOf(a)-13];
      } else {
        return alphabet[alphabet.indexOf(a)-13];

AbdouSeck

import numpy as np

def cartesian(arrays, out=None):
    """
    Generate a cartesian product of input arrays.

    Parameters
    ----------
    arrays : list of array-like
        1-D arrays to form the cartesian product of.

AbdouSeck

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

AbdouSeck

# application.py

from flask import Flask, render_template_string
from flask_sqlalchemy import SQLAlchemy


db = SQLAlchemy()

class User(db.Model):
    """

AbdouSeck

# https://stackoverflow.com/q/52613778/3135417

# Function to keep track of diff changes along the V1 column
get_ids <- function(x) {
  vrle <- rle(cummin(x))$lengths
  rep(1:length(vrle), vrle)
}

# Thesis data
thesis <- data.frame(V1=c(8628, 8626, 8624, 8622, 8620, 8618,

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# persons.txt
# Person 1
# Class        Grade
# Math         A
# Science      C
# English      A
# Person 2
# Class       Grade
# Math        D
# English     A

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#!/usr/bin/env python3
"""
Script to test or run commands on given servers.
./this_script.py test  # To test all servers
./this_script.py run --id 127.0.0.1 --command "echo hello world"
"""
from argparse import ArgumentParser, RawDescriptionHelpFormatter as RDHF


def test_servers(servers):

AbdouSeck

# The arbitrary and opinionated conversion of strings to datetime in Series comparisons

# When comparing two values where the left side values is a pandas datetime object,
# Pandas casts the left side values to pd.DatetimeIndex
# Once the casting is successfully, Pandas then calls the __eq__ method on the result of the cast operation.
# In this case, you want to take a look at pd.DatetimeIndex.__eq__ to figure out how the comparison is being handled

# The following is how pd.DatetimeIndex.__eq__ is defined (it's a decorated function, so the function name doesn't come up):

def wrapper(self, other):

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Keybase proof

I hereby claim:

• I am abdouseck on github.
• I am aseck (https://keybase.io/aseck) on keybase.
• I have a public key ASDjVkM0h3zHkVUrkbaofaafZujw0FeGtxaYSAKgS4YnRQo

To claim this, I am signing this object:

AbdouSeck

# There is really not a dynamic way of doing what you want.
# You will need to expand the dash and generate a sequence from it.
# I wrote an example function that converts something like 2-4 into seq(2, 4)

expand.dash <- function(dashed) {
    limits <- unlist(strsplit(dashed, '-'))
    seq(limits[1], limits[2])
}

# We can use the above function inside another function which expands ballrooms