Ruby on Rails Is Dead — 2018 Edition
It’s 2018, and it’s high time for us at JetRuby to once again scrutinise everything we believe in, and answer the million (ish)-dollar question: “Is Ruby/Rails finally deader than a coffin nail in 2018?” The rumors of Ruby’s nascent (inevitable, immutable, irreversible) demise have been whispered about for years inside developer locker rooms, and yet the language and Rails, the framework, are stil
From python to Go to Rust: an opinionated journey | Allo-Media
When looking for a new backend language, I naturally went from Python to the new cool kid: Go. But after only one week of Go, I realised that Go was only half of a progress. Better suited to my needs than Python, but too far away from the developer experience I was enjoying when doing Elm in the frontend. So I gave Rust a try. Away from Python, For backend development, I’ve mainly been using Pytho
The Ultimate Guide To Speech Recognition With Python – Real Python
Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Speech Recognition With Python Have you ever wondered how to add speech recognition to your Python project? If so, then keep reading! It’s easier than you might think. Far from a being a fad, the overwhelming success of speech-enabled product
New thing in JDK10 even that scala-er should know
JDK 10 will be released on March 20, 2018 with 12 new features. Key changes include a new 6-month release cycle, modularization of the garbage collector, experimental Java-based JIT compiler, local variable type inference, parallel full GC for G1, application class-data sharing between JVMs, ability to stop individual threads, and support for alternative memory devices like non-volatile RAM. JDK 1
みんなのPython Webアプリ編 - Webアプリケーションと認証 | TRIVIAL TECHNOLOGIES 4 @ats のイクメン日記
Webアプリケーションの中には、ユーザ名とパスワードを使ってログインを行ってから機能が利用できるようになるものがあります。認証を行うことによって、誰がWebアプリケーションを使っているかが明確になり、権利を持った利用者にのみ、特定の機能を利用させる、といったことが可能になります。ここでは、Webアプリケーションで認証の処理を行うための方法について考えてみたいと思います。 認証の基本 私たちは日常生活でさまざまな認証を行います。たとえば、キャッシュカードを使いキャッシュディスペンサーで現金を下ろすときには、暗証番号を使った認証を行います。家のドアを開け閉めするとき、鍵を使うのも一種の認証と言えるかもしれません。このように、自分以外の人間やモノに対して、何らかの手段を使って自分自身であることを認めてもらう行為のことを認証と呼びます。 認証を行う
PythonでWeb開発入門 みんなのPython Webアプリ編 HTML版(無料) | TRIVIAL TECHNOLOGIES 4 @ats のイクメン日記
みんなのIoT/みんなのPythonの著者。二子玉近く160平米の庭付き一戸建てに嫁/息子/娘/わんこと暮らしてます。月間1000万PV/150万UUのWebサービス運営中。 免責事項 プライバシーポリシー 一部読者から高い評価をいただき，絶版となりながら中古市場でプレミア価格がついていた拙著「みんなのPython Webアプリ編」のHTML版をお送りします。Pythonを使って，Webアプリを開発するための方法を，基本的な事柄から積み重ね式に解説した書籍をHTMLにしたのが本コンテンツです。 編集部のご厚意で作ってもらった配布用PDFをベースに作っています(PDF作成だけでなく，出版契約の解除など必要な手続きを快く受けて頂いた担当様にはとても感謝しております)。構成などは著書をベースにしていますが，HTML化する過程で少し手直ししてあります。特にPython 2.7で動かないサンプルコー
A Practical Introduction to Blockchain with Python // Adil Moujahid // Bridging Tech and Art
// tags python blockchain Blockchain is arguably one of the most significant and disruptive technologies that came into existence since the inception of the Internet. It's the core technology behind Bitcoin and other crypto-currencies that drew a lot of attention in the last few years. As its core, a blockchain is a distributed database that allows direct transactions between two parties without t
Switching from PHP to Go: A Development Case Study
We recently upgraded from PHP to Go for our Face Recognition API architecture. In this article we share why we made the move, how it’s radically improved performance, and some lessons learned along the way. As we strive to be the premier Face Recognition partner to businesses across the world, we constantly improve our platform to upgrade our products and enhance customer experience. And while und
PyTorch – Internal Architecture Tour | Terra Incognita
Update 28 Feb 2019: I added a new blog post with a slide deck containing the presentation I did for PyData Montreal. Introduction Short intro to Python extension objects in C/C++ Zero-copy PyTorch Tensor to Numpy and vice-versa Tensor Storage Shared Memory DLPack: a hope for the Deep Learning frameworks Babel Introduction This post is a tour around the PyTorch codebase, it is meant to be a guide f
Data Pre-Processing in Python: How I learned to love parallelized applies with Dask and Numba | by Ernest Kim | Towards Data Science
Data Pre-Processing in Python: How I learned to love parallelized applies with Dask and Numba If you’re comfortable with using Pandas to transform data, create features, and perform cleaning, you can easily parallelize your workflow with Dask and Numba.In pure speed: Dask beats Python, Numba beats Dask, Numba+Dask beats ’em allInstead of using a Pandas apply, separate out numerical calculations in
How to build a deep learning model in 15 minutes
An open source framework for configuring, building, deploying and maintaining deep learning models in Python. As Instacart has grown, we’ve learned a few things the hard way. We’re open sourcing Lore, a framework to make machine learning approachable for Engineers and maintainable for Machine Learning Researchers. A common feeling in Machine Learning: Uhhh, this single sheet of paper does not tell
Make your own build system
On this page I present a robust, custom build system for a software project written in C, in less than 500 lines of Python code. I think it is about as minimal as a practical dependency-tracking build system can get. Although it adds to the code that must be maintained as part of the project, I think that having a custom build infrastructure that can grow with the project is a good idea for medium
新著「みんなのIoT」は，いちばん分かりやすいPython入門書です | TRIVIAL TECHNOLOGIES 4 @ats のイクメン日記
みんなのIoT/みんなのPythonの著者。二子玉近く160平米の庭付き一戸建てに嫁/息子/娘/わんこと暮らしてます。月間1000万PV/150万UUのWebサービス運営中。 免責事項 プライバシーポリシー 「みんなのPython」はおかげさまで大好評を頂いているようで本当にありがとうございます。外国語版が出るとか出ないとかいう話があって，渾身のネタの数々がどう料理されるのかが目下の感心どころです。 「わかりやすい」「読みやすい」と好評を頂いているみんPyですが，たまにプログラミング初心者には難しい，というご意見を頂くこともあります。それが気になっていたので，プログラミング経験がなくてもエントリーしやすい万人向けのPython入門書を書きました。 9割くらいの人は何を言っているのか分からなくて口をあんぐりと開けてると思うけど，まあおじさんの話をもう少し聞いてくれ。「IoTと言えばハード」と
5 Quick and Easy Data Visualizations in Python with Code
Data Visualization is a big part of a data scientist’s jobs. In the early stages of a project, you’ll often be doing an Exploratory Data Analysis (EDA) to gain some insights into your data. Creating visualizations really helps make things clearer and easier to understand, especially with larger, high dimensional datasets. Towards the end of your project, it’s important to be able to present your f
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