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LOWELL — For a city with a notably large, strong Cambodian-American population, as well as first-generation leaders serving it, representation matters. But that representation doesn’t end in ...

‘We were just in awe’: Miss Universe Cambodia winners visit Lowell, share pride in their country

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In 2021, HackerNoon hosted the first-ever Startup of the Year awards!!

Meet the Winners of Startups in Asia

Micro-services has become a very hot topic in the last half-decade. After Agile, DevOps, its Microservices that we hear everywhere I go. The unfortunate thing that I witnessed though, is that, every organization and every person in that organization has their own definition of what a Microservice is. Just as the way, Agile and DevOps momentum are abused because of the cult status it achieved, Microservices too seem to have fallen in the same bandwagon.

10 Myths About Microservices

This was a decade when it was not easy for a start-up to even give birth, for things were so complex and expensive too. There wasn’t promulgation of open-source tools and technologies and the cheap cloud that takes so much of the pain out from you for infrastructure management was simply not there.

The Uh-Oh Decade Of Enterprise Software Development

Given the observations of two features A and B: we observe correlation between features A and B, when we see a pattern where A and B change its values at the same time. When the values of A and B, increase or decrease together, we say they are positively correlated. When the value of A increases if we find that the value of B decreases proportionately and vice-versa, we say they are negatively correlated. &nbsp; Correlation is what we can visually identify by plotting the values of features in the graph and compare their trends for patterns. With this we cannot say what is causing what. In other words, you cannot claim one feature causing the other. &nbsp; When the change in one feature results in the change in the other, we call it causation. When we find correlated features, we dig around the domain, do more research and homework to increase our domain knowledge to claim that one feature is causing the other.

Correlation And Causation By Example

We all have our share of mistakes. We evolve over time learning our lessons. This post is to help you introspect your thoughts on varied things that float in the realm of software development. Below is a compilation of “some” common misconceptions that we hear and get influenced by for bad.

50 Common Misconceptions in the World of Software Development

This question was posted recently in <a href="https://www.quora.com/What-is-so-wrong-with-TDD/answer/Karthik-Sirasanagandla?srid=iaOA" target="_blank">Quora</a>. I read other’s answers first and felt an itch to share my thoughts on it. This post is a re-production of that answer:

What is so wrong with TDD?

This post is a sequel to my earlier post — <a href="https://medium.com/p/embrace-and-evangelize-zen-coding-ffe4955daf1c" target="_blank">Embrace and Evangelize Zen Coding</a>. The earlier post paints a picture of who a Zen developer is. But who are Code Factories? Code Factories are those developers that take pride in churning lots and lots of code, bloating the product with features and bugs, with the vested interested of becoming a team’s irreparable liability.

A Tale of a Lone Zen Developer among Code Factories

A few days back I stumbled upon a tweet read something like below:

Embrace And Evangelize Zen Coding

One advantage of a “contemporary” Software Developer jumping into the Data Science bandwagon is that for him/her the rate of technology change is a given and no frustrating experience.

Software Developer as Data-Scientist

And may you not trust me on this. Pick 5–10 failed startups from the recent past, and look for patterns yourself. Alternatively, take those Unicorn companies and write top 3 to 5 unique qualities in each of those that the founders or news articles claim to have been their beginnings (You can take for granted that doing the opposite of these in your early stages is counter-productive). Compare your list to what I have mentioned in this post, to cry “Eureka!”.

What Startups Should Learn From Multi-National Corporations

Quick Lessons in Data Science practice

There are three popular kind of Managers in the IT organizations today — Project Manager, Product manager and Engineering Manager. IT organizations or business units have one or more of these openings and sometimes a combination of these like Technical Product Manager.

What kind of Manager are you today (or want to become tomorrow)?

今だけ、初回セットが通常1,980円の所を1,480円で購入可能。ココノミは美味しさにこだわった野菜宅配サービスです。

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Coconomi's stories on HackerNoon

Meet the Winners of Startups in Asia

10 Myths About Microservices

The Uh-Oh Decade Of Enterprise Software Development

Correlation And Causation By Example

50 Common Misconceptions in the World of Software Development

What is so wrong with TDD?

A Tale of a Lone Zen Developer among Code Factories

Embrace And Evangelize Zen Coding

Software Developer as Data-Scientist

What Startups Should Learn From Multi-National Corporations

Quick Lessons in Data Science practice

What kind of Manager are you today (or want to become tomorrow)?

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‘We were just in awe’: Miss Universe Cambodia winners visit Lowell, share pride in their country

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COCONOMI

coconomi.shop

Since 2017

COCONOMI

EVERGREEN INDEX #10118

Coconomi's stories on HackerNoon

Meet the Winners of Startups in Asia

10 Myths About Microservices

The Uh-Oh Decade Of Enterprise Software Development

Correlation And Causation By Example

50 Common Misconceptions in the World of Software Development

What is so wrong with TDD?

A Tale of a Lone Zen Developer among Code Factories

Embrace And Evangelize Zen Coding

Software Developer as Data-Scientist

What Startups Should Learn From Multi-National Corporations

Quick Lessons in Data Science practice

What kind of Manager are you today (or want to become tomorrow)?

Coconomi's latest news & mentions

Coconomi.com

‘We were just in awe’: Miss Universe Cambodia winners visit Lowell, share pride in their country

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5%

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380B

1850

180B

1848

160B

1875

120B

2%

2006

85B

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