Crafting great software is about focusing your attention on what matters at the right time. Rubbish software is produced when we try to do everything at once.
Rubbish software is produced when we try to do everything at once.
Principles, guidelines, best practices, and rules of thumb — they all make your life easier. Without them, ten-minute tasks can turn into ten-hour tasks.
One of the absolute best pieces of advice I received from my mentor very early on in my career was this simple one-liner:
“Make it work, make it better, make it faster.”
It’s a slight alteration of Kent Beck’s famous quote, and its simplicity is enabling and puzzling.
“Make it work” is quite easy to wrap your head around. You have a set of requirements, and you’re coding to fulfill them — kid stuff.
“Make it better” is where the meat is. “Better” is the juicy part that you’ll spend the majority of your day achieving. Better code, better design, better approaches. But what does “better” mean? We’ll get around to that later.
Well, let’s be honest: You often never get around to the “make it faster” aspect of your code — at least not for every part of the software. You want to make your hot paths fast and efficient, but you’re likely in good shape, leaving paths rarely traveled. It’s not worth the effort. Simple as that.
Ridiculously, developers tend to focus on “make it faster” whenever they read others’ code. It’s common to read comments like “This inefficient code is horrific!” This totally neglects whether the code solves the problem on time.
In this article, see if there are any differences between software developers and software engineers. What you’re about to read mostly revolves around my personal thoughts, deductions, and offbeat imagination. If you have different sentiments, add them in the comment section, and let’s dispute! So, today’s topic…
Best Free Courses For Computer Science, Software Engineering, and Data Science. Become an Expert for Free! Learning Programming, Software Engineering, and Data Science Has Never Been Cheaper
To make the most out of the benefits of offshore software development, you should understand the crucial factors that affect offshore development.
Do you want to get a job as a Software Engineer at FAANG Companies but do not have a computer science degree? Could you not get CS in your dream college because you ended up screwing JEE but want to build a career in tech?
Find out here. Although data science job descriptions require a range of various skillsets, there are concrete prerequisites that can help you to become a successful data scientist. Some of those skills include, but are not limited to: communication, statistics, organization, and lastly, programming. Programming can be quite vague, for example, some companies in an interview could ask for a data scientist to code in Python a common pandas’ functions, while other companies can require a complete take on software engineering with classes.