SantoshSrinivas79

Downloading Torrents from the Ubuntu command-line

This is WIP!

Let us look at the options available to torrent from the ubuntu command line.

I tried out multiple options and my favorite is Transmission - A fast, easy and free BitTorrent Client

Lets say you wan't to download MacTeX - TeX Users Group using the torrent link.

SantoshSrinivas79

sudo chmod -R 777 system/cms/cache 
sudo chmod -R 777 system/cms/config 
sudo chmod -R 777 addons 
sudo chmod -R 777 system/cms/cache 
sudo chmod -R 777 uploads 
sudo chmod -R 666 system/cms/config/config.php

SantoshSrinivas79

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: n8n-deployment
  namespace: standard
  labels: &labels
    app: n8n
    component: deployment
spec:

SantoshSrinivas79

Running electron using xvfb

Install xvfb

apt-get install xvfb x11-xkb-utils xfonts-100dpi xfonts-75dpi xfonts-scalable xfonts-cyrillic x11-apps

Some tips at: xvfb init script for Ubuntu

SantoshSrinivas79

#Inject javascript into HTML pages from console

An easy way to inject Javascripts into the current loaded dom using the developer console in chrome.

jQuery

var script = document.createElement('script');
script.src = 'http://code.jquery.com/jquery-1.7.2.min.js';

SantoshSrinivas79

Using the command line on a terminal like a pro

The terminal is extremely powerful and it is now my topmost choice in coding. Here are some useful commands for common tasks that will hopefully help appreciate the power of the command line!

• List files sorted by time
  • ls -lt
• List of files sorted by size
  • ls -alS
• List of files from s3 ... only name:

• s4cmd ls s3://tempbin/ | grep zerod_archive_ | awk '{print $NF}' | head

SantoshSrinivas79

var data = "do shash'owania";
var crypto = require('crypto');
crypto.createHash('md5').update(data).digest("hex");

SantoshSrinivas79

# daily coding post to demonstrate using ggtext

# credit: late night watch of [Spruce up your ggplot2 visualizations with formatted text? - Claus Wilke](https://resources.rstudio.com/rstudio-conf-2020/spruce-up-your-ggplot2-visualizations-with-formatted-text-claus-wilke)

# Inspired by:
# https://gist.github.com/gkaramanis/a18438d624e495784af38932650c6abe
# https://twitter.com/geokaramanis/status/1230549592103456769?s=20

# remotes::install_github("wilkelab/ggtext")

SantoshSrinivas79

library(ggplot2)

ggplot(data = data.frame(x = c(-4, 6)), aes(x)) +
  stat_function(fun = dnorm, n = 101, args = list(mean = 0, sd = 1), geom = "area", fill = "#F5BB87", alpha = 0.9) +
  stat_function(fun = dnorm, n = 101, args = list(mean = 2.7, sd = 1), geom = "area", fill = "#BBD4EB", alpha = 0.9) +
  coord_fixed(xlim = c(-5, 7), ratio = 8, clip = "off") +
  annotate("segment", x = -3.9, y = 0, xend = 6, yend = 0, color = "grey60", size = 1.3) +
  annotate("segment", x = -3.5, y = -0.04, xend = -3.5, yend = 0.42, color = "grey60", size = 1.3) +
  annotate("text", x = 0, y = 0.18, label = "what people\nactually do\nin R", family = "Arial Bold", color = "white", size = 5.2) +
  annotate("text", x = 2.75, y = 0.18, label = "what people\nassume others\ndo in R", family = "Arial Bold", color = "white", size = 5.2) +

SantoshSrinivas79

Ghost - Box Spread Analysis on NSE

This paper (https://s3-us-west-1.amazonaws.com/meteor-dalalbeat/santosh-ghost/80269143-Box-Spread-Arbitrage-Efficiency-of-Nifty-Index-Options.pdf) give a pretty good view of box spread opportunities on the NSE.

In this post, I will attempt to analyze such opportunities with the goal of earning returns in excess of a bank deposit (say 8.0%).

Load Data

Model-Kite-RAM-Box-Spread-Analysis.R loads the data in the format needed for analysis.