Programming: GitLab, JDK, Eclipse, pdb, Julia and More
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GitLab Adopted by KDE to Foster Open Source Contributions
Today GitLab, the DevOps platform delivered as a single application, announced that KDE, an international technology community that creates free and open source software for desktop and portable computing, is adopting GitLab for use by its developers to further enhance infrastructure accessibility and encourage contributions.
KDE is a free and open source software community dedicated to creating a user-friendly computing experience. It offers an advanced graphical desktop, a wide variety of applications for communication, work, education and entertainment, and a platform for easily building new applications. Adding access to GitLab will provide the KDE community with additional options for accessible infrastructure for contributors, code review integration with git, streamlined infrastructure and tooling, and an open communication channel with the upstream GitLab community.
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Oracle releases JDK 13 with switch expressions and text blocks preview features, and more!
Yesterday, Oracle announced the general availability of Java SE 13 (JDK 13) and that its binaries are expected to be available for download today. In addition to improved performance, stability, and security, this release comes with two preview features, switch expressions and text blocks. This announcement coincides with the commencement of Oracle’s co-located OpenWorld and Code One conferences happening from September 16-17 2019 at San Francisco.
Oracle’s director of Java SE Product Management, Sharat Chander, wrote in the announcement, “Oracle offers Java 13 for enterprises and developers. JDK 13 will receive a minimum of two updates, per the Oracle CPU schedule, before being followed by Oracle JDK 14, which is due out in March 2020, with early access builds already available.”
This release is licensed under the GNU General Public License v2 with the Classpath Exception (GPLv2+CPE). For those who are using Oracle JDK release as part of an Oracle product or service, it is available under a commercial license.
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Eclipse Che, Kubernetes-native IDE, version 7 now available
Today, the Eclipse Foundation announced the release of Eclipse Che 7, the Kubernetes-native IDE, enabling developer teams to code, build, test, and run cloud-native applications. We are excited by this announcement and the new capabilities that this version offers the community and developers building containerized applications.
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Python Debugging With pdb
Nowadays, we often take for granted the excellent debuggers built into our favorite IDEs. But how do you debug your Python code when you don’t have the luxury of using an IDE?
pdb, short for Python DeBugger, is a module for interactive source code debugging. It’s built into the Python Standard Library, so it’s always accessible to you. Because it runs in the command line, it’s especially helpful when you’re developing on remote systems.
In this course, you’ll learn how to perform the most common debugging tasks using pdb, including setting breakpoints, stepping through code, viewing stack traces, creating watch lists, and more.
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Happy Birthday Practical Business Python!
On September 17th, 2014, I published my first article which means that today is the 5th birthday of Practical Business Python. Thank you to all my readers and all those that have supported me through this process! It has been a great journey and I look forward to seeing what the future holds.
This 5 year anniversary gives me the opportunity to reflect on the blog and what will be coming next. I figured I would use this milestone to walk through a few of the stats and costs associated with running this blog for the past 5 years. This post will not be technical but I am hopeful that my readers as well as current and aspiring bloggers going down this path will find it helpful. Finally, please use the comments to let me know what content you would like to see in the future.
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6 Excellent Free Books to Learn Julia
Julia is a high-level, high-performance dynamic programming language for technical computing by Alan Edelman, Stefan Karpinski, Jeff Bezanson, and Viral Shah. Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single language.
It’s a homoiconic functional language focused on technical computing. While having the full power of homoiconic macros, first-class functions, and low-level control, Julia is as easy to learn and use as Python.
Although Julia is a new language, first appearing in 2012, its roots are in Lisp, so it comes with mature features like macros and support for other metaprogramming techniques like code generation. Julia’s expressive grammar lets you write easy-to-read and easier-to-debug code, and its speed gets you through more work in less time. It’s a great choice whether you’re designing a machine learning system, crunching statistical data, or writing system utilities.
Distinctive aspects of Julia’s design include a type system with parametric polymorphism and types in a fully dynamic programming language and multiple dispatch as its core programming paradigm. It allows concurrent, parallel and distributed computing, and direct calling of C and Fortran libraries without glue code.
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A slack hack
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