Who really contributes to open source

Microsoft has been nipping at the top open source contributor position for years, but a new analysis by Adobe developer Fil Maj puts Microsoft into a whole other universe of contributions. Or, at least, of contributors.

Using the GitHub REST API to pull public profile information from all 2,060,011 GitHub users who were active in 2017 (“active” meaning ten or more commits to public projects), Maj was able to pull the total number of corporate contributors to GitHub, with results that might surprise you.

Getting at the GitHub truth around open source

Back in October 2017, Googler Felipe Hoffa tried to analyze GitHub PushEvents to understand which companies were most generously contributing to open source projects. By his estimation, Microsoft came out on top in terms of total contributors (about 1,300), compared to second-place Google (about 900 contributors), while Google topped the charts in terms of actual code pushed to repositories (about 1,100 compared to Microsoft’s roughly 825).

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20 years of open source: Its world-changing history in brief

Roots in the free software movement
01 oss bruce perens

Image by Simon Phipps

The free software movement was started by Richard Stallman 35 years ago. OSI cofounder Bruce Perens explains that “open source is the proper name of a campaign to promote the pre-existing concept of free software to business, and to certify licenses to a rule set.”

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Java 101: Datastructures and algorithms in Java, Part 3

In Datastructures and algorithms in Java, Part 2 I introduced a variety of techniques for searching and sorting one-dimensional arrays, which are the simplest arrays. In this article we’ll explore multidimensional arrays. I’ll introduce the three techniques for creating multidimensional arrays, then show you how to use the Matrix Multiplication algorithm to multiply elements in a two-dimensional array. I’ll also introduce ragged arrays and show you why they are popular for big data applications. Finally, I will answer the question of whether an array is or is not a Java object.

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What’s new in Google’s Go language

The team behind Google’s Go language, aka Golang, has released the release candidate of Go 1.10, the next version of the popular open source language

The new features in Google Go 1.10 beta

The upgrade offers compiler tool chain and performance improvements but no substantive language changes.

Expected to be available in a production version in February 2018, Go 1.10 now provides these key features in its release candidate:

  • Improved performance of code generated by the compiler, spread across supported architectures.
  • Programs should run a bit faster due to speedups in garbage collection, better code generation, and core library optimizations.
  • Dwarf debug information in binaries has been improved, with constant values now recorded. Also, line-number information is more accurate.
  • The linux/ppc64le port now needs external linking with any programs using the cgo command.
  • The go build command detects out-of-date packages based on the content of source files, specified build flags, and metadata in stored packages. Modification times are no longer relevant.
  • The go install command now only installs packages and commands listed on the command line. To force installation of dependencies, developers should use the go install –i flag
  • An update to the grammar for method expressions relaxes the syntax so any type expression is allowed as a receiver, thus matching how compilers already operated.
  • Test results are now cached via go test.
  • The Unicode package has been upgraded from Unicode 9.0 to version 10.0, adding 8,518 characters, including a bitcoin currency symbol and 56 emojis.

Where to download the Go 1.10 beta

You can download the release candidate of Go 1.10 from the Go project site.

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Eclipse’s enterprise Java roadmap: more services coming

The Eclipse Foundation is preparing the next round of technologies to be added to enterprise Java, which it now runs. (Last year, the foundation was charged with developing Java EE (Enterprise Edition), in the wake of Oracle’s abdication of its stewardship of the project.)

Eclipse expects about 35 to 40 new projects as part of its open source enterprise Java implementation.

The foundation expects Eclipse Enterprise for Java (EE4J) project to ship a Java EE 8-compliant project as soon as possible, with a release of the GlassFish application server and related projects. GlassFish has served as a reference implementation of enterprise Java. Java EE 8 has been set as the baseline for Eclipse’s development of new enterprise Java standards.

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(Insider Story)
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Serverless computing with AWS Lambda, Part 2: AWS Lambda with DynamoDB

The first half of this article presented an overview of serverless computing with AWS Lambda, including building, deploying, and testing AWS Lambda functions in an example Java application. In Part 2, you’ll learn how to integrate Lambda functions with an external database, in this case DynamoDB. We’ll then use the AWS SDK to invoke Lambda functions from our example Java application.

AWS Lambda and DynamoDB

DynamoDB is a NoSQL document store that is hosted by Amazon Web Services (AWS). DynamoDB defines data abstractions as tables, which accept common database operations such as insert, retrieve, query, update, and delete. As with many other NoSQL databases, DynamoDB’s schema isn’t fixed, so some items in the same table can have fields that others do not.

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20 years on, open source hasn’t changed the world as promised

Open source has officially been a thing for 20 years now. Did anyone notice?

No, really. For something as revolutionary as open source, you’d think it would have changed the way all software is developed, sold, and distributed. Unfortunately for those party planners looking to celebrate the 20-year anniversary of open source, it hasn’t—changed software, that is. For most developers, most of the time, software remains stubbornly proprietary.

What has changed in 20 years is the narrative about software. We’re now comfortable with the idea that software can, and maybe should, be open source without the world ending. The actual opening of that source, however, is something to tackle in the next 20 years.

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Serverless computing with AWS Lambda, Part 1

Serverless computing may be the hottest thing in cloud computing today, but what, exactly, is it? This two-part tutorial starts with an overview of serverless computing–from what it is, to why it’s considered disruptive to traditional cloud computing, and how you might use it in Java-based programming.

Following the overview, you’ll get a hands-on introduction to AWS Lambda, which is considered by many the premiere Java-based solution for serverless computing today. In Part 1, you’ll use AWS Lambda to build, deploy, and test your first Lambda function in Java. In Part 2, you’ll integrate your Lambda function with DynamoDB, then use the AWS SDK to invoke Lambda functions in a Java application.

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