Programming/Development: PHP 8.0, WASMtime 0.12, Perl, Python, and java
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Looking At The PHP 8.0 Performance So Far In Early 2020
With it being a while now since the PHP 7.4 release and the PHP developers continuing to be busy at work on PHP 8.0 as the next major installment of the popular web programming language, here is a fresh look at the performance of PHP 8.0 in its current state -- including when its JIT compiler is enabled -- compared to releases going back to PHP 5.6.
Most exciting with PHP 8.0 is the JIT compiler that has the ability to provide better performance on top of all the gains already scored during PHP 7.x releases. PHP 8.0 is also bringing support for static return types, weak maps, union types, improved errors and warnings, and more is surely to come -- stay tuned to the PHP RFC page. The latest indications are PHP 8.0 isn't expected for release until the very end of 2020 or early 2021.
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WASMtime 0.12 Released For The JIT-Style WebAssembly Runtime
Announced last November was the Bytecode Alliance with a goal of running WebAssembly everywhere. This effort by Intel, Red Hat, Mozilla, and others has resulted in a new release today of wasmtime, their JIT-style runtime for WebAssembly on the desktop.
The Bytecode Alliance developers from the different organizations continue working heavily on their Wasmtime JIT runtime, Cranelift low-level code generator, the WAMR micro-runtime, and Lucet sandboxing WebAssembly compiler. Wasmtime v0.12 is the new release out today for their optimizing run-time offering for WebAssembly and WASI (WebAssembly System Interface) on desktops and other non-browser use-cases.
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The Weekly Challenge #049
This is my second blog for The Weekly Challenge. I am only able to participate, thanks to Ryan Thompson for helping me with the Perl and Raku reviews. I am going for Perl solutions first then will try to translate it into Raku next. I believe in coding to learn the language. With so many Raku experts around, I am not shy throwing questions up. I am now going to share my experience doing “The Weekly Challenge - 049”.
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EuroPython 2020: Call for Proposals opens on March 9th
We’re looking for proposals on every aspect of Python: all levels of programming from novice to advanced, applications, frameworks, data science, Python projects, internals or topics which you’re excited about, your experiences with Python and its ecosystem, creative or artistic things you’ve done with Python, to name a few.
EuroPython is a community conference and we are eager to hear about your use of Python.
Since feedback shows that our audience is very interested in advanced topics, we’d appreciate more entries in this category for EuroPython 2020.
Please help spread word about Call for Proposals to anyone who might be interested. Thanks. -
Using Anaconda Environments with Wing Python IDE
Wing version 7.2 has been released, and we've been looking at the new features in this version. So far we've covered reformatting with Black and YAPF, Wing 7.2's expanded support for virtualenv, and using python -m with Wing.
This time we'll take a look at what Wing 7.2 provides for people that are using Anaconda environments created with conda create as an alternative to virtualenv.
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Easy Provisioning Of Cloud Instances On Oracle Cloud Infrastructure With The OCI CLI
The OCI CLI requires python version 3.5 or later, running on Mac, Windows, or Linux.
Installation instructions are provided on the OCI CLI Quickstart page. -
Python Range
The Python range type generates a sequence of integers by defining a start and the end point of the range. It is generally used with the for loop to iterate over a sequence of numbers. range() works differently in Python 2 and 3. In Python 2, there are two functions that allow you to generate a sequence of integers, range and xrange. These functions are very similar, with the main difference being that range returns a list, and xrange returns an xrange object.
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Code Borrowing and Licence Violations [Ed: This study may be deeply flawed because they bothered assessing no projects other than those that Microsoft controls (what about projects that don't use Git and Microsoft's proprietary trap?)]
The researchers used the Public Git Archive (PGA), a large dataset that was composed in the early 2018. It consists of all GitHub projects with 50 or more stars which can be filtered by language. They extract all projects with at least one line written in Java which resulted in 24,810 projects overall and a final dataset of 23,378 Java repositories.
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Painless Java with BlueJ
Whenever you're learning a new programming language, it's easy to criticize all the boilerplate text you need to memorize. Before you can get comfortable starting a project, you have to remember the preambles that, in theory, ought to be easy to remember since they're usually relatively short and repetitive. In practice, though, boilerplate text is too obscure in meaning to become an easy habit, but it's essential for a program to run.
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