Comparing strings in Python is an important part of programming. Python offers a number of built-in operators and methods through which you can compare strings in different ways and without much effort. Here, we’ll show you how to compare strings in Python using different tools and methods as well as detailed examples.
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Lists can be used to store different data types and elements within a data structure in R programs. This is one of the reasons why R lists are part of the basic repertoire for anyone who wants to learn to program with R. Here, we’ll show you how to create lists in R and take you through the most important list functions in R.
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REDPIXEL.PLShutterstock Strings exist in almost every programming language. R has them as well. In this article, learn about how strings work in R and familiarize yourself with the most useful R string functions. Using simple examples, we’ll show you how to create and manipulate strings in R as well as how to find out the length of an R string.
ESB ProfessionalShutterstock Object-oriented programming (OOP) is a method or paradigm that uses classes as blueprints for objects. Objects encapsulate data and its functions as a single unit, protecting their internal state from outside tampering. While Python is a multi-paradigm language, it makes understanding OOP particularly easy. Read on to learn more about object-oriented programming in Python.
BEST-BACKGROUNDSShutterstock Data types are a fundamental concept in programming languages and R is no exception. When learning this programming language, it’s important to familiarize yourself with the different data types you can use. In this article, we’ll show you which data types R has and how to determine the data type of different variables.
Most programming languages have arrays as a data structure. R is no different. The popular language also provides programmers with an efficient way to store data of the same data type in a single structure. In this article, we demonstrate how to create arrays in R and how to use the apply function for R arrays. We also explain what the key difference is between R arrays and arrays in other…
One of the biggest advantages of the for-each loop is that it has a simple and clear syntax. This helps to avoid programming errors. The loop can also traverse arrays faster than other loop methods. We’ll show you how to best use the for-each Java loop and provide some examples of the loop in action. Find out how you can save time and resources during code integration.
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