The Analytical Engine

This was the first fully-automatic calculating machine. British computing pioneer Charles Babbage (1791-1871) first conceived the idea of an advanced calculating machine to calculate and print mathematical tables in 1812. This machine, conceived by Babbage in 1834, was designed to evaluate any mathematical formula and to have even higher powers of analysis than his original Difference engine of the 1820s. Only part of the machine was completed before his death in 1871. This is a portion of the mill with a printing mechanism. Babbage was also a reformer, mathematician, philosopher, inventor and political economist.

It was designed by Charles Babbage, a polymath in 19th century. He designed the machine but was never able to build a complete working model in his lifetime due to constraints of fundings. It would take nearly over a century before someone attempted to design a General-purpose computer Importance of Analytical Engine does not end… Continue reading The Analytical Engine

Shells in Linux

On the suggestion of some of my Linux afficionado friends, I decided to look into changing my default shell in Mint from Bash to another shell. After some surfing on the web Fish and ZSH seemed to be the viable options. ZSH attempts to maintain compatibility with Bash while Fish ignores it. On trying both… Continue reading Shells in Linux

next() in Python

Liked I mentioned in my previous post, I have digging deep into list comprehensions and iterators in Python recently. During this exploration I came across a neat method possessed by all iterators, called next(). This method returns the next element of an iterable if it exists or else it throws an exception. This method helped… Continue reading next() in Python

zip in Python

While trying to learn more about list comprehension in Python, I came across a very useful function called zip. Zip combines two or more iterables into an iterable consisting of tuples. Tuple on index n has elements having index n from all the iterables passed to the zip function. Example: Output: 3 6 9

Functional Programming with Scheme

Paul Graham’s essays on Lisp and frequent discussions on HackerNews piqued my interest in Functional Programming. Hence I decided to take a deep dive to explore this topic. Functional programming as a very fascinating history, with Lisp being the second programming language created after Fortran. Lisp was quite popular in universities but it suffered an… Continue reading Functional Programming with Scheme

My journey with competitive programming so far

I was randomly browsing youtube and came across a video titled ‘An interview with a competitive programmer’. The title piqued my interest as I had no idea about ‘competitive programming’. The interview was with Errichto, who had secured 2nd place in google code jam. He described his entire journey with competitive programming and it inspired… Continue reading My journey with competitive programming so far

Exploring the world of DevOps, CI-CD, andContainers on steroids (WIP)

Note: Work in progress! This blog is about exploring so-called DevOps/Infra: containers (docker/podman), containers on steroids (k8s), and the world of CI and CD. Abstraction Layers in Computer Host Computer (bare-metal) > Virtual Machine (VMware / VirtualBox / Vagrant) > Containers (LXC/LXD) What is Containers and some of their features? Light weight / Encapsulated Abstraction… Continue reading Exploring the world of DevOps, CI-CD, andContainers on steroids (WIP)

Information 101

#1 On website improvement Today, I updated favicon compatibility for various devices and browsers. is the tool that helped me easily generate favicon similar to Y Combinator (Hacker News). Favicon Generator: #2 On open source world List of trending source code repository across GitHub: Similarly, our soon-to-be IPO / best-open-culture company GitLab… Continue reading Information 101