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Why Picnic picked Java

Picnic Engineering

When Picnic launched as the first app-only supermarket back in 2015 in The Netherlands, the tech landscape looked markedly different from today. Java 8 was released just the year before, adding the beloved lambdas and streams functionality. So why did we end up picking Java as our backend development stack?

Java 59
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A Tour Around Buck2, Meta's New Build System

Tweag

Bazel, on the other hand, is a much older codebase , with the first public commit dating back to 2015 and internal development dating back much longer. Most of it is implemented in Java, and while some components can be used independently, e.g., the remote worker , most are generally not developed or published as standalone components.

Systems 141
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8 Best Python Data Science Books [Beginners and Professionals]

Knowledge Hut

The first edition was launched on February 25, 2015, and the second edition was issued on May 3, 2019. The first version was launched in August 2012, and the second edition was updated in December 2015 for Python 3. There are numerous large books with a lot of superfluous java information but very little practical programming help.

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Brief History of Data Engineering

Jesse Anderson

Google’s 2015 paper Hidden Technical Debt in Machine Learning Systems highlighted the fact that machine learning isn’t just the creation of models. At various times it’s been Java, Scala, and Python. For the majority of companies, that was the only title working on data problems at scale. Now people are excited about Rust.

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Fine-Tuning Improves the Performance of Meta’s Code Llama on SQL Code Generation 

Snowflake

Along with the model release, Meta published Code Llama performance benchmarks on HumanEval and MBPP for common coding languages such as Python, Java, and JavaScript. On August 24, Meta released Code Llama , a new series of Llama2 models fine-tuned for code generation. This query is more difficult because there are many ways to get it wrong.

Coding 75
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Joe Reis Flips The Script And Interviews Tobias Macey About The Data Engineering Podcast

Data Engineering Podcast

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. init started in 2015, and your first episode of Data Engineering was published January 14, 2017. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

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Netflix OSS and Spring Boot?—?Coming Full Circle

Netflix Tech

Much of Netflix’s backend and mid-tier applications are built using Java, and as part of this effort Netflix engineering built several cloud infrastructure libraries and systems?—? In 2015, Spring Cloud Netflix reached 1.0. Ribbon for load balancing, Eureka for service discovery, and Hystrix for fault tolerance.

Java 111