Curated articles, resources, tips and trends from the DevOps World.
Simple to learn, endlessly versatile, and perennially in demand by employers paying higher and higher salaries every year — it feels like there’s a million reasons to learn Python.
Python and R made a name for themselves as top-end competitors in the world of data science for their ability to seamlessly navigate and handle data. But what sets these languages apart from each other?
Whether you’re new or old to the computer science community, you’ve probably asked yourself, “What is TypeScript?” and if you haven’t, it won’t be long before you do.
We recently integrated Snyk into boot.dev as a way to get more visibility into known vulnerabilities in boot.dev’s codebase. Snyk has already patched a critical vulnerability in lodash for us.
We will go over Aurora MySQL vs Aurora Postgres. Did you know AWS Aurora is generally x5 faster than the equivalent MySQL and Postgres databases?
Randomness is a hard problem for computers. Most functions that generate randomness are not considered cryptographically secure. What this means is that it’s possible for attackers to take a good guess at what number a non-secure randomness generator generated.
Data science is a vast field with tons of entry points, depending on where and how you want to start. I started learning basic data science with a language called R, until I ran into one of its many limitations. Python has definitely won the battle of R vs Python for data science, as I learned.
From the outset, comparing JavaScript and Python seems a bit like comparing apples and oranges, but surprisingly there are quite a few similarities hidden beneath their popular exterior.
In this world, nothing can be said to be certain, except death, taxes, and migrations. Earlier in my career, I would come to a new project and inevitably a hectic migration would be underway.
Scala and Golang are newer languages, only coming on to the scene after the turn of the century, but in that time they’ve managed to become two of the highest-paid languages for developers, with the industry benefiting from their fresh creation. But what makes these languages so special?
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