Just last month, Codecademy was sold to Skillsoft for $525 million. Not too shabby, and entirely well-deserved if you ask me.
We hit some amazing milestones in April. We now have over 40,000 registered students and over 500,000 lessons completed on the platform!
For anyone who wants to learn Python online, it can be a bit overwhelming. When I Googled it, I came up with over 200 million hits.
“You’re comparing apples to oranges,” Susan, a developer at my company, said when I asked her which programming language she preferred, C # or Python.
Ah, the age-old question: which tech stack should I learn? Aspiring developers often get bogged down in this dilemma, and it’s not hard to see why.
You’re waiting at the front-desk of Google’s campus in Boulder, Colorado, waiting for your coding interview to start.
Let’s be real here: we live in an age where everyone and their dog seems to think they need the latest, most expensive gadgets to get anything done.
As the founder of Boot.dev, I’ve worked with countless students who are eager to break into the tech industry.
This is one of those arguments where, outside of a few very specific examples, there’s a clear answer.
We released more this last March than I think we’ve ever released in a single month before.
Yes, computer science is hard, but you already know that. You don’t want to know if computer science is hard.
I talk to boatloads of students who are starting to learn to code, and invariably they are hyper-concerned about which programming languages and technologies they should be learning.
Python is an unbelievably powerful programming language that is used by millions of developers in production systems around the world.
How to Get a Job as a Python Programmer 🔗 “How much Python do I need to know to get a job?
Step 1: Learn Golang. Step 2: Apply for jobs. Step 3: Get accepted. When I started researching this article, that was the first answer that came up on Reddit.
In this post, we’ll be talking about coding with a common integration pattern with an external API called a webhook.
Learning to code isn’t easy; frankly, I’d be wary of anyone who tells you that it is.
A while back, one of my friends bragged that he bagged a six-figure backend developer job after watching a few YouTube videos on APIs and reading parts a bit of the PostgreSQL documentation.
I’m back from paternity leave! My new son is healthy, and my daughter is… busy. It’s good to be back writing code, writing courses and filming videos.
“Guys, I’ve got an idea. What if we could design a language that’s easy to read like Python, but fast?
Myth #1: “Python is too slow for back-end development.” Myth #2: “Nowadays, you should do all back-end development in JavaScript/TypeScript.
What’s it like being a back-end developer? Well, it’s different depending on which developer you ask.
Have you ever started a new software development job and thought: “Wow, what a beautifully architected system!
If you can’t tell from my absurd profile photo below, I’ve been having too much fun with AI art this month.
To someone who isn’t familiar with these roles, it’s easy to think that DevOps and systems reliability engineers (SREs) might have the same job.