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A Backtracking Sudoku Solver in Scala

Rock the JVM

This article is for Scala beginners. After you learn the language, the next big thing you need to master is how to write essential “algorithms” in Scala. This tends to make algorithms in Scala quite difficult. This article works identically for Scala 2 and Scala 3. map ( row => row. grouped ( 3 ).

Scala 40
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HTTP Authentication with Scala and Http4s

Rock the JVM

Http4s is one of the most powerful libraries in the Scala ecosystem, and it’s part of the Typelevel stack. If you want to master the Typelevel Scala libraries with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course. by Herbert Kateu Hey, it’s Daniel here. val scala3Version = "3.2.2"

Scala 52
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HTTP Authentication with Scala and Http4s

Rock the JVM

Http4s is one of the most powerful libraries in the Scala ecosystem, and it’s part of the Typelevel stack. If you want to master the Typelevel Scala libraries with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course. by Herbert Kateu Hey, it’s Daniel here. val scala3Version = "3.2.2"

Scala 52
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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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Apache Spark Use Cases & Applications

Knowledge Hut

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52
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Best Data Science Programming Languages

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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What are the Roles and Responsibilities of an Artificial Intelligence Engineer?

Knowledge Hut

AI is the science of simulating human intelligence by using machines, software, and networks of complex algorithms to carry out specific tasks. AI engineers are responsible for developing, programming, and training complex algorithms that can mimic human intelligence while carrying out specific tasks. What is Artificial Intelligence?