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REST APIs Using Play Framework and Scala: A Comprehensive Guide

Rock the JVM

Play Framework “makes it easy to build web applications with Java & Scala”, as it is stated on their site, and it’s true. In this article we will try to develop a basic skeleton for a REST API using Play and Scala. PlayScala plugin defines default settings for Scala-based applications. import Keys._

Scala 52
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Top 11 Programming Languages for Data Science

Knowledge Hut

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. R has become increasingly popular among data scientists because of its ease of use and flexibility in handling complex analyses on large datasets.

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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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Migrating From Elasticsearch 7.17 to Elasticsearch 8.x: Pitfalls and Learnings

Zalando Engineering

Exact, brute-force kNN guarantees accurate results but doesn’t scale well with large datasets. The application is written in Scala and using a Java High Level REST Client, which got deprecated in Elasticsearch 7.15.0 Approximate kNN offers lower latency at the cost of slower indexing and imperfect accuracy. x also represented a choice.

Scala 86
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Best Data Science Books for Beginners and Experienced [2024]

Knowledge Hut

Mining of Massive Datasets By Jure Leskovec, Anand Rajaraman, Jeff Ullma This book will provide a comprehensive understanding of large-scale data mining and network analysis. Some other features that make it a book ideal for advanced learners are as follows:- This book will help you learn how to mine significantly large datasets.

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Best Data Science Programming Languages

Knowledge Hut

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. R has become increasingly popular among data scientists because of its ease of use and flexibility in handling complex analyses on large datasets.

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How to Become Data Scientist in 2024 [Step-by-Step]

Knowledge Hut

Python R SQL Java Julia Scala C/C++ JavaScript Swift Go MATLAB SAS Data Manipulation and Analysis: Develop skills in data wrangling, data cleaning, and data preprocessing. Learn how to work with big data technologies to process and analyze large datasets. Additionally, confirm that the dataset you are utilizing is error-free.