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Scala as a Junior Developer

Rock the JVM

Lucas’ story is shared by lots of beginner Scala developers, which is why I wanted to post it here on the blog. I’ve watched thousands of developers learn Scala from scratch, and, like Lucas, they love it! If you want to learn Scala well and fast, take a look at my Scala Essentials course at Rock the JVM. sum > 8 ).

Scala 142
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The Future of Java: Top Trends and Technologies

Knowledge Hut

For over 2 decades, Java has been the mainstay of app development. Another reason for its popularity is its cross-platform and cross-browser compatibility, making applications written in Java highly portable. These very qualities gave rise to the need for reusability of code, version control, and other tools for Java developers.

Java 97
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A Functional Load Balancer with Scala, Http4s and Cats Effect

Rock the JVM

A load balancer usually sits in front of a few servers and forwards the HTTP requests to them based on some algorithm. There are different algorithms that can be used to achieve this goal, in this case we’re going to be using Round Robin algorithm. Project Structure We will use Scala 3.3.0, currentOpt. currentOpt.

Scala 105
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Two-Factor Authentication in Scala with Http4s

Rock the JVM

If you want to master the Typelevel Scala libraries (including Http4s) with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course. HOTP scala implementation HOTP generation is quite tedious, therefore for simplicity, we will use a java library, otp-java by Bastiaan Jansen.

Scala 92
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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

MapReduce is written in Java and the APIs are a bit complex to code for new programmers, so there is a steep learning curve involved. Also, there is no interactive mode available in MapReduce Spark has APIs in Scala, Java, Python, and R for all basic transformations and actions. It can also run on YARN or Mesos.

Hadoop 96
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Top 11 Programming Languages for Data Science

Knowledge Hut

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. At the same time, computer science has traditionally focused on algorithms, coding, and software[development processes, data science focuses on extracting meaning from data using systematic methods.

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Java for Data Science – When & How To Use

Knowledge Hut

In recent years, quite a few organizations have preferred Java to meet their data science needs. From ERPs to web applications, Navigation Systems to Mobile Applications, Java has been facilitating advancement for more than a quarter of a century now. Is Learning Java Mandatory? So let us get to it.

Java 52