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. However, that question then always leads to, “but wait, what’s the difference between TypeScript and JavaScript?” – so allow me to explain. JavaScript (JS) is arguably a household name with how popular the language has been from the start. Released in 1995, it’s a high-level, dynamically typed, multiparadigm programming language developed by Brenden Eich at Netscape.
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? Python vs R Compared Python Named after the British comedy group Monty Python, Python is a high-level, procedural, general-purpose programing language designed by Dutch computer scientist Guido van Rossum. Python was released in 1991 with multiparadigm, open-source, and dynamic typed properties, and has since become a key choice for back-end web development, data science, and machine learning.
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. Python is known for its simple but robust design and is favored for web and software development, as well as data work. JavaScript, on the other hand, has a syntax similar to Java’s and is mostly used for client-side and server-side development, web and mobile applications, and browser games.
Read this if you don’t know where to start learning data science 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. When I wanted to take the next step in my data science journey, I leaned on Python.
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? What are Go and Scala? Developed at Google in 2009, Go is a statically typed, procedural programming language that took the run-time and syntax of C, coupled with improved readability, to create a powerful and safe server-side language.
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. It’s not always a “stop the world” change, it can be as simple as switching from NPM to Yarn, but something is always changing. I used to naively believe my managers when they said cute things like “just this once” or “we’ll finally have our dependencies up to date.
Golang (or Go) and Java offer an interesting comparison because despite their wide differences, there are also key similarities in how and where they’re used by programmers. But which one is best for you? We’ll start by breaking down the languages, how they work and how they’re used – like I did with Golang vs C++ – to help you decide which language is best suited for you. First we introduce each language’s history, and go through their design.
Versatile, powerful and ever-present, JavaScript is the world’s most used programming language (for eight years and counting!) and shows no signs of slowing down. 94.5% of web pages use JavaScript, it’s one of the 10 most-loved programming languages, and with median salaries of $112,000 in the US, JavaScript offers a way to fast-track your way to higher earnings if you’re thinking of switching careers. You’ve mastered the basics – perhaps by taking our Intro to JavaScript course – and tried your hand at some simpler JavaScript projects or challenges.
We’ve just launched our latest course, Python Fundamentals. Start the “Python Fundamentals” Course Now What’s more: to celebrate the release, we’re offering full FREE access to the entire course — yep, you can take the entire course for free for a month — but the code expires in just 14 days. Simply enter this code at checkout: YAYPYTHON Featuring more than 65 interactive, code-in-your-browser lessons across six modules, this course is perfect for new-to-beginner students who have completed our Intro To Coding with JavaScript Courses and picked up the basics of a trickier language by taking Go Mastery 1.
A universally unique identifier (UUID) is a 128-bit format for creating IDs in code that has become popular in recent years, especially in relation to database keys. By using UUIDs, you ensure that your ID is not just unique in the context of a single database table or web application, but is truly unique in the universe. No other ID in existence should be the same as yours. It is important to note that while the probability that a UUID will collide with another is not zero, its practically zero.