Blogs

Setup Cloudflare Tunnels to your home serve Everything you need to know to get securely connect to your locally hosted application over the internet in under 30 mins. At the high level, I’m running a SimpleHTTPServer locally, that i want to access over the internet from https://home.mydomainname.com Secondly, I’ll lock down the access to this URL to whitelisted email addresses. Setup Cloudflare Tunnels to your home serve Prerequisites Local Setup cloudflared Download install Authenticate Setup tunnel create credential file create config.

Robin Varghese Whatever the problem, I want to be part of the solution. I enjoy developing software and empowering others in my knowledge space. I bring 10+ years of Full-Stack Developer experience and 5+ years of Leadership experience. I thrive in an environment of uncertainty which requires constant learning. Reach Me Github LinkedIn Email Say Hello . . . . Knowledge space Tech stack Interests Languages Tools Databases Platforms Full-stack Development Python Jupyter BigQuery Google Cloud Platform Data Science, Analytics SQL django AWS Athena docker Machine learning pandas plotly mySQL Airflow Generative AI React.

i love adirondacks To assist me in planning a unforgettable getaway with our family and friends, I made a list of some of the best things to do in the Adirondacks. Places Whiteface Veterans’ Memorial Highway website - wikipedia youtube Driving up to the top of the Whiteface along the Veterans’ Memorial Highway—New York’s fifth-highest peak at 4,867’—isn’t your typical automotive experience. Whiteface Memorial Hwy, Wilmington, NY 12997 C42F+X3 Wilmington, New York

Single-threaded vs Multi-threading vs Multi-processing in Python jupyter notebook link We will try to run a few simulated processes to understand the performance difference between Single-threaded, Multi-threading and Multi-processing in Python. We will learn about GIL - Alternative Python interpreters - by counting to 255 million and downloading few webpages import concurrent.futures import requests import threading import time import math import random from multiprocessing import Pool # Reference and Credits # https://realpython.

USPS API Proof of Concept jupyter notebook link I was hoping to demostrate how one can pull tracking information from USPS API endpoint for a given tracking ID. Acknowledgements all documentation was available on this webpage https://www.usps.com/business/web-tools-apis/track-and-confirm-api.htm#_Toc41911504

Intro to SQL with 5000 movies jupyter notebook link This notebook is a part of a talk i have been giving to introduce people to SQL. Only pre-requisite to attend this talk is some general curiosity. Acknowledgements This dataset was generated from The Movie Database API. This product uses the TMDb API but is not endorsed or certified by TMDb. We used the dataset published on kaggle that includes 5000 movies

Overview of SQL upsert loader jupyter notebook link source code I hope to present a Proof Of Concept version of a multiprocessed data loader that I use extensively in my data integration pipelines. Couple of problems that it is attempting to address are Ability to operate on any update flat file associated with a SQL table, with minor configuration. Ability to perform upsert operations on datasets without a primary key column.

I gave this talk to give an overview of few tools that our department relies heavily on. This talk was part of our IS department’s commons session to give employees the chance to share their skills with examples to set and follow. Top 5 tools Analytics uses Introduction We are hoping to give an insight into 5 tools that we rely heavily to make our life easy in Analytics department.

4 Jupyter jupyter notebook demo link 4.a Introduction Project Jupyter is three things: a collection of standards, a community, and a set of software tools. Jupyter Notebook, one part of Jupyter, is software that creates a Jupyter notebook. A Jupyter notebook is a document that supports mixing executable code, equations, visualizations, and narrative text. Specifically, Jupyter notebooks allow the user to bring together data, code, and prose, to tell an interactive, computational story.

Maestro Job Engine Architecture +---------------------------------------------------------------------------------------------------------------------------------------------------------------+ | | | | | Maestro Job Engine Architecture | | | | | | | | +---------------------------+ | | | | | | | execute 1 | | | | | | | +---------------------------+ | | | | +---------------------------+ +------+----------+--------+--------------------------------------+-------------+ | | | | push logs to Database | date | job_name | status | tags | debug_data | | | | logging 2 | +---------------------> +-------------------------------------------------------------------------------+ | | | | | | | | | | | | +---------------------------+ | | | | #frequency #type #priority #author | | | | | | | | examples | | | | +---------------------------+ | | | | #daily #etl #critical #robin | | | | | | analyze logs | | | | #weekly #test #minor #bart | | | | | monitoring 3 | <---------------------+ | | | | #hourly #API #monitoring #dev #paul | | | | | | | | | | | | | | +----------+----------------+ +------+----------+--------+--------------------------------------+-------------+ | | | | | | | | | | | | notification | | | | | v | | +----------+----------------+ | | | | | | | Errors | | | | critical: 0 | | | | minor: 1 | | | | warning: 12 | | | | test: 1 | | | | dev: 5 | | | | success: 150 | | | | | | | +---------------------------+ | | | | | | | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+

ha (刃, edge) - the tempered cutting edge of a katana. Scorecard metrics measurement OLAP cube sits Scorecard critical performance information on a single screen so users can monitor results in a glance.