Power of Eloquence

When saying “Hello World!” isn’t enough anymore

Looking Back the Year of 2020…

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// when the giant red button got triggered - 🚨🚨
async function globalWHOAlertSystem(pandemicAlertLevel, globalToiletPaperSupplyChain) {
  let message = document.getElementById("message");
    message.innerHTML = "";
  try {
      do {
          const areWeDoomed = await globalToiletPaperSupplyChain.verifyStockLevel()
          if (areWeDoomed) throw "We are so screwed😱!!"
      while (pandemicAlertLevel > 60000); // it's over 60,000!
  } catch (err) {
      message.innerHTML = err;

Well, the code snippet above pretty much summarises everything we all knew what the year of 2020 has brought us.

All small jokes aside, this year has been an incredibly difficult year for all, especially for the tech community in general.

Countless of tech meetups, tech networking events and tech conferences have either been postponed indefinitely, rescheduled or cancelled altogether around the world.

Filter, Map and Reduce Functions - the Python Way

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With every new tool, framework or methodology comes along, developers with their insatiable appetite or thirst for knowledge and power, they will find ways to make dedicated time to learn how they work and how they’re planning to use them as part of the day to day job.

And functional programming (FP) - a newish paradigm has been permeating through the scenes of developer community for some time; everything from Haskell, Elixir, React, AWS Lambdas to Clojure etc.

Or, at least it’s yet to make establish some norms within the community…

But I must digress.

Visualising Javascript Dependencies Graph Tree With Madge

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When you work on a codebase, at any certain point of time, they tend to grow in size. Thus the larger the codebase becomes, the more Javascript modules you will get to develop and maintain.

And more often than not, those same Javascript modules are not always clear when you spend time determining the inter or intra-relationships between them.

For eg,

A developer (let’s called him Jake) works on modules, A, B, C, and discovers the following dependencies pattern.

 Module A depends on Module B and C,
 Module B depends on Module C
 Module C doesn't depend on anything.

Most Common and Useful Design Patterns You Should Be Aware of as a Javascript Developer

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If you’re anything like me, after you spent considerable time chopping up codes for all types of applications, be it web or mobile app, you’ve already come across with code that shares some similar patterns as the codebase itself has grown over some significant portion of the time.

From these observations, we programmers developed our conversations on design patterns in making scalable software solutions.

In particular with JS, with the influx of JS libraries, frameworks, tools etc, we can build our applications to solve some particular problems in so many different ways. But, no matter how much tooling JS developers are going to be choosing, there’s no better substitute for incorporating useful patterns in your code design where you see fit.

Using Built-in JSON Query Tools of Relational Databases

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I’ve been doing relational databases for a long time now, especially when you’re dealing with making data-rich web applications.

In fact, every full stack developer will tell and share you their stories and trivialities of working with database intimately every day.

So what better way to work with them is to know plenty of SQL statements such as SELECT, GROUP BY, FROM, WHERE etc, which is paramount without question.

Knowing such basic skills allows you to work with disparate industry-standard relational database technologies such as MySQL, MS SQL, Oracle DB, Postgres, and many more.

But what I discovered, recently of late, there’s a new tool that has been slowly introduced to these relational database technologies crowd all the while.

For the first time, you can now create and generate JSONified results from SQL statements.