My preferred tech stack

LanguagesJavascript/Typescript
Frontend FrameworksAngular, Bootstrap 4, WordPress
Backend FrameworksExpress
Build Systems
Development ToolsNodemon
DatabasePostgres (AWS RDS)
DeploymentShell scripts
DevelopmentGithub, VS Code, Posgres.app
LintingESLint
TestingPuppeteer, Headless Chrome
3rd PartyGoogle Services
Git ClientSourcetree
HTTP ClientPostman
Source CodeGithub
InfrastructureLightsail, AWS
CertsLets Encrypt
Domains1&1
CLI Toolshtop, pm2, shell
SSH ClientTermius
SFTPFilezilla
MonitoringSentry
EmailAWS SES
Email Templates
UI ComponentsEnvato Elements
UsageMatomo
MarketingProductHunt, 
DesignDribbble, Adobe Behance, 
MockupsSketch, Photoshop
Photo EditingPhotoshop
Vector Design/EditingIllustrator
IconsEnvato Elements
PhotosUnsplash
Color Palettes
Issue ManagementGithub Issues
Knowledge baseGithub Wiki
Payment ProcessingStripe
Chat Support

UC Berkley – Lecture Notes from Vazirani on Quantum Computing

Notes: 

Quantum Systems are exponentially powerful

Based on particles: 2^500 – More particles in the universe

Challenges:

  • Not all problems are well suited
  • Need to understand Q Mechanics

Qubit – simplest quantum system

Entanglement-

  • Bell Inequalities
  • Teleportation

Lecture 1: Double Slit Experiment

  • Is light a particle or a wave?
  • If light was a particle, it would be like a bullet, and we would see the two beams overlap each other:
  • Strange that if both holes are open why we get this strange interference pattern.
  • Why did the count drop when both holes were open? From a decent amount, to nearly zero.
  • If we use bullets, we would see a whole number of bullets that get through
  • If we use water & waves, we get the same interference pattern.

If we add a measuring device just after the slits to track which slit the electron goes through, it “disrupts” the measurement and we get the 2nd pattern. If we use a very slight/dim light enough light, we get the 3rd “expected” pattern, but we also miss a lot of the electrons and may not capture the pattern.

= Hesienburgs uncertainty principle = Impossible to design apparatus which can detect which slit it went through without disturbing the interference pattern. read more

Quantum Algorithms – Complexity Classes Notes

Traveling sales person problem

Solve problems which are NP hard – and they can’t be solved in polynomial time.

P versus NP problem: full polynomial versus nondeterministic polynomial problem

A P problem is one that can be solved in “polynomial time,” which means that an algorithm exists for its solution such that the number of steps in the algorithm is bounded by a polynomial function of n, where n corresponds to the length of the input for the problem. Thus, P problems are said to be easy, or tractable. A problem is called NP if its solution can be guessed and verified in polynomial time, and nondeterministic means that no particular rule is followed to make the guess. read more

Do Things That Don’t Scale

http://www.paulgraham.com/ds.html#f1n

One of the most common types of advice we give at Y Combinator is to do things that don’t scale. A lot of would-be founders believe that startups either take off or don’t. You build something, make it available, and if you’ve made a better mousetrap, people beat a path to your door as promised. Or they don’t, in which case the market must not exist.

Bookmarks: Emerging Architectures for Modern Data Infrastructure

As an industry, we’ve gotten exceptionally good at building large, complex software systems. We’re now starting to see the rise of massive, complex systems built around data – where the primary business value of the system comes from the analysis of data, rather than the software directly. We’re seeing quick-moving impacts of this trend across the industry, including the emergence of new roles, shifts in customer spending, and the emergence of new startups providing infrastructure and tooling around data.

In fact, many of today’s fastest growing infrastructure startups build products to manage data. These systems enable data-driven decision making (analytic systems) and drive data-powered products, including with machine learning (operational systems). They range from the pipes that carry data, to storage solutions that house data, to SQL engines that analyze data, to dashboards that make data easy to understand – from data science and machine learning libraries, to automated data pipelines, to data catalogs, and beyond. read more

Working with Bluetooth for iOS Applications

I recently purchased a Concept2 rower and started doing some indoor rowing to change up my workout routines. I was considering developing a live rowing platform to compete with friends and make the workouts more interactive. It turned out there were already a few options on the market, so I shelved the idea.

But, since the Concept2 allows 3rd party connectivity, I still was curious how integration, discovery, and notifications would work from an iOS device. I was able to find a nice SDK, but it was considerably outdated (5 years) so I decided to use that as a foundation and port the application to Swift 5 and get it working for anyone else interested in developing a rowing app for iOS. read more

GE Healthcare: Design Thinking in the NICU

I have been exposed to design thinking in a variety of ways over the past 13 odd years. From conferences, startups and projects – I have used the framework to develop and build services, software and hardware which incorporates one of the most important elements in the design: empathy.

Empathy ensures that the designers, developers and creators of these products “walk a mile in their shoes” and put the users at the center of the development lifecycle rather than technology, limitations or costs.

This TedX talk is a nice example of empathy in something critical that all of us can in some shape or form relate to, which is being born. The video centers around the design thinking process which went into the design and development of Neonatal Intensive Care Units and the equipment which nurses and parents have to deal with when a child is born prematurely. It is a great example of how empathy was an integral part of the process from start to finish. read more