Programming: ISO C++ Standards Committee, Rust, Python and Programming Language Rankings
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Trip Report: C++ Standards Meeting in Kona, February 2019
A few weeks ago I attended a meeting of the ISO C++ Standards Committee (also known as WG21) in Kona, Hawaii. This was the first committee meeting in 2019; you can find my reports on 2018’s meetings here (November 2018, San Diego), here (June 2018, Rapperswil), and here (March 2018, Jacksonville). These reports, particularly the San Diego one, provide useful context for this post.
This week marked the feature-complete deadline of C++20, so there was a heavy focus on figuring out whether certain large features that hadn’t yet merged into the working draft would make it in. Modules and Coroutines made it; Executors and Networking did not.
Attendance at this meeting wasn’t quite at last meeting’s record-breaking level, but it was still quite substantial. We continued the experiment started at the last meeting of running Evolution Incubator (“EWGI”) and Library Evolution Incubator (“LEWGI”) subgroups to pre-filter / provide high-level directional guidance for proposals targeting the Evolution and Library Evolution groups (EWG and LEWG), respectively.
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Comparing Machine Learning Methods
When working with data and modeling, its sometimes hard to determine what model you should use for a particular modeling project. A quick way to find an algorithm that might work better than others is to run through an algorithm comparison loop to see how various models work against your data. In this post, I’ll be comparing machine learning methods using a few different sklearn algorithms.
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Python Sets: Cheat Sheet
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Unique sentinel values, identity checks, and when to use object() instead of None
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The [IBM-sponsored] RedMonk Programming Language Rankings: January 2019
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This Week in Rust 278
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Speed: Default value vs checking for None
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Book Review: Mission Python
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How To Create A ‘Hello, World!’ Application With Django
Django is a high-level full stack open source web framework written in Python, that encourages rapid development and clean, pragmatic design. Django comes with lots of advance functionalities baked in which saves developers a lot of time. The simplicity Django offers lets developers focus more on writing the app instead of rewriting the same wheel. Since it’s release in 2003 Django has proven to be the most productive framework for Python developers to know more about Django read: Django – Web Framework For Perfectionists
In this article, we will create the traditional “Hello, World!” app, which will basically display the string ‘Hello, world!’ in the browser. This might be your first Django app so pay close attention to the core principles of Django which we will discuss later in the article.
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Announcing Public Anaconda Package Download Data
I’m very happy to announce that starting today, we will be publishing summarized download data for all conda packages served in the Anaconda Distribution, as well as the popular conda-forge and bioconda channels. The dataset starts January 1, 2017 (April 2017 for Anaconda Cloud channels) and will be updated roughly once a month. We hope these data will help the community understand how quickly new package versions are being adopted, which platforms are popular for users, and track the usage of different Python versions. For example, this dataset can be used to see how the Python 2 to 3 transition has been progressing for the past 2 years:
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[Older] BPF: A Tour of Program Types
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