When porting code from Python 2 to Python 3, it is not as easy as you imagined no matter whether the primary programming language is Python or C/C++. Re-compiling the Dynamsoft Barcode extension for Python 3 is a challenge because I only found a few of documentation and resources online. Luckily, I succeeded in using Python 3 compatible APIs after reading the source code of Numpy.
A few weeks ago, Apple released Swift 4.0 which is available for macOS and Ubuntu 14/16. In this post, I will share how to implement a simple Swift barcode reader (command line tool) with Dynamsoft Barcode Reader SDK for Linux.
According to the statistics of Stack Overflow traffic, Python is the fastest-growing major programming language in high-income countries. Python seems to be promising in the future. I have noticed that many of the developers who would like to use Dynamsoft Barcode Reader SDK for Linux are more interested in Python rather than C/C++ or Java. In this post, I will illustrate how to build the Python barcode extension with DBR 5.2.
From version 4.x to 5.x, Dynamsoft improved Barcode SDK performance with a big leap. Unfortunately, only Windows edition is available for download so far. In this post, I will share how to create a Node.js extension with the preview version of Dynamsoft Linux Barcode SDK 5.2. If you are interested in Windows edition, please read – Building Node.js Barcode Addon with DBR v5.0.
This article is about how to use OpenCV and Dynamsoft Barcode Reader SDK to create a Python barcode reader on macOS.
Chrome OS, developed by Google, is a light-weighted operating system based on the Linux kernel. It uses Chrome web browser as the user interface that primarily supports web applications released as Chrome extensions. However, Chrome extension is not fresh to me. When running Chrome OS in a virtual machine, I wondered whether it is possible to run native apps. In this article, I want to share how to run a console application built with Dynamsoft C/C++ Barcode SDK on Chrome OS.
Last week I made a warm up for Kotlin, getting started to learn tutorials and reference. Now it is time to take the next step. Since Kotlin is hundred percent compatible with Java, we can use both programming languages without barriers in one project. In this article, I want to share how to build an Android barcode reader using Kotlin code and Java code.
.NET Core empowers C# developers to build DotNet applications for Windows, Linux, and macOS using one codebase. In this article, I want to share how to create a cross-platform .NET Core barcode app with Dynamsoft Barcode Reader SDK.