R is well known in the data science community. This language is perfect for clearing and analysing data, visualising data, and other tasks that relate to working with data. Using this language allows you to go from having a raw dataset to deriving insights hidden within the data you have.In this guide, we talk about what you need to know
Julia, which started development in 2009, is today a popular programming language. Julia is used by millions of data science and statistical computing developers around the world. The programming language is dynamic because it is designed with efficiency in mind.How do you learn Julia? That is the question we are going to address in this article. First, we will discuss
Data scientists often use both R and Python in their work. Both languages are well suited to the tasks that come up in data science, such as data cleaning, and come with extensions that make them even more powerful.If you are becoming a data scientist, or considering a career in data science, you may be wondering whether you should learn
Do you ever wonder how large scale applications are developed? The size of such applications consumes time to get running. Tools and frameworks are extensively used to help decrease the amount of time spent in rolling out the first release. Haskell is one such language — it helps rapidly develop applications of all scales.In this guide, we're going to talk
Are you looking for a programming language that’s widely used in data science, highly scalable, and in demand? Look no further than Scala. Apache Spark, a popular tool for data science, is built on Scala, and Scala is known for supporting large quantities of data. You can benefit from learning the programming language as Scala developers are among the highest-paying
Are you interested in developing the software and algorithms behind Alexa, Siri, Google Search, chatbots, Grammarly, and other technologies that involve human language? NLP, or natural language processing, is a growing field at the intersection of linguistics, machine learning, and artificial intelligence. Whether you are looking up your favorite restaurant or checking your spelling, you are reaping the benefits of NLP.
C++ is a general-purpose programming language commonly used for operating systems development. You may also see C++ used for data science, especially for large-scale operations involving data. This language, first released in 1985, has stood the test of time and is used by a global community of developers. In this guide, we're going to talk about how you can learn C++.
Perl may not be the first language that comes to mind when someone asks you to name a programming language, but that does not mean Perl is insignificant. Indeed, Perl is widely used today for applications ranging from system administration to building graphical user interfaces (UIs).In this guide, we’re going to discuss how to learn Perl. We will start by
When you are learning how to code, you will inevitably come across data structures. Data structures define how data is controlled in a program. They will probably not come up every day. Nonetheless, data structures play a key role in computer science and coding.In this guide, we are going to discuss what you need to learn about data structures and