開発スタッフがアプリ関連の最新技術やニュースをご紹介します。

Developers often spend hours searching for snippets to use and Google for StackOverflow on Sourcegraph. I will introduce to a website called snipt.dev , a search engine for codes you can reuse.

Code snippets are blocks of code that you can share and reuse. Reusing safe and tested code not only improves productivity, but also always imports the correct code for missing arguments (missing arguments, unchecked error codes, exceptions, etc.).

We usually don’t remember all the details for writing a block of code. If there are required or optional parameters, what parameters does the function take and what are their types? Code snippets allow you to use the code patterns directly to maximize your productivity.

snipt.dev is a code snippet search engine. You don’t have to google for hours. Find the snippet that’s right for you. For example, if you search for “react typescript”, snipt.dev will only show Snippets related to TypeScript, and “react javascript” will only show snippets related to JavaScript (and obviously react).

For example, if I want to search for array sorting code snippet for JavaScript,

I think this service is pretty convenient for developers like us. I hope this might be helpful for you too.

Yuuma

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今回はhttpでアクセスしようとしてる時発生した問題をどうやって解決できるかを共有したいかなと思います。

Staging環境や本番環境に対応すると、期待した画面が出ず、デザイン・機能が実行していない状態が続きました。

デベロッパーツールから確認すると、httpsではなくhttpでアクセスしようとしてることがわかりました。

ということで、以下のように修正すると、httpsでアクセスできることを確認できます。

web.phpで直接修正

//.env APP_ENV=localでない場合https化
if (config('app.env') === 'production' or config('app.env') === 'staging') {
    URL::forceScheme('https');
}

これで再度確認すると、httpsでアクセスでき、画面も機能も動いています。

金曜担当 : Ami

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本記事ではDataTablesを使用したテーブル生成方法とサーバーサイド連携方法をシェアします。
今回は前回の記事で説明をおこなったサーバーサイドでのページング処理実装の続きをおこなっていきたいと思います。

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Today, I would like to share about most used image processing libraries in python. Let’s take a look.

OpenCV

First released in 2000, OpenCV has become a popular library due to its ease of use and readability. It is mostly used in computer vision tasks such as object detection, face detection, face recognition, image segmentation, etc.

Scikit-Image

Scikit-Image is a python-based image processing library that has some parts written in Cython to achieve good performance. It is a collection of algorithms for image processing such as:

• Segmentation,
• Geometric transformations,
• Color space manipulation,
• Analysis,
• Filtering,
• Morphology,
• Feature detection

Pillow/PIL

PIL (Python Imaging Library) is an open-source library for image processing in Python. PIL can perform tasks on an image such as reading, rescaling, saving in different image formats. PIL can be used for Image archives, Image processing, Image display.

NumPy

NumPy(Numerical Python) is a open-source Python library for data manipulation and scientific computing. It is used in the domain of linear algebra, Fourier transforms, matrices, and the data science field. NumPy arrays are faster than Python Lists. And an image is essentially an array of pixel values where each pixel is represented by 1 (greyscale) or 3 (RGB) values. So, NumPy can easily perform tasks such as image cropping, masking, or manipulation of pixel values.

Matplotlib

Matplotlib is mostly used for 2D visualizations, but it can also be leveraged for image processing. Matplotlib is effective in altering images for extracting information out of it although it does not support all the file formats.

This is all for now.

Hope you enjoy that.

By Asahi

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 “Fleet is also a fully functional IDE bringing smart completion, refactorings, navigation, debugging, and everything else that you’re used to having in an IDE – all with a single button click.” – JetBrains

Fleet takes that approach one step further by making it a single IDE. You no longer have to open another IDE to get the functionality you need for a particular technology. With Fleet, everything is in one app.

Languages include:

• Java
• Kotlin
• Python
• Go
• JSON
• JavaScript
• Rust
• TypeScript
• PHP
• C++
• C#
• HTML
• Ruby

The fleet is built with collaboration in mind. This makes it easy to collaborate on a project, whether it’s local or remote. It provides the ability to work on the same or different files at the same time, run tests, access the device, and do other things you would expect from a collaboration IDE at the same time.

Fleet has a set of integrated tools to help developers enjoy their work and be more productive.

• Terminal
• Git
• Run & Debug
• Navigation
• MultiPlatform
• Themes
• Plugins
• etc.

The fleet’s architecture is designed to support a variety of configurations and workflows. Fleet can only run on your own machine, or you can move some processes to another location like docker , clouds etc.

This IDE also has tons of features and might worth to give it a try.

Yuuma

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