Json Web Token shortly called as JWT becomes defacto standard for authenticating REST API. In a traditional web application, once the user login credentials are validated, loggedin user object will be stored in session. Till user logs out, session will remain and user can work on the web application without any issues. Rest world is stateless, it is difficult to identify whether the user is already authenticated. One way is to use authenticate every API but that would be too expensive task as the client has to provide credentials in every API. Another approach is to use token.

JWT Authentication using Auth0 Library

What if you could reliably run PHP without Nginx or Apache, but also without relying on its internal server? What if you could do async operations in PHP with true multi threading, fully taking advantage of multi core processors without hacks or a jungle of callbacks? What if you had drag and drop installation support for your PHAR packaged web apps in an environment identical to its production counterpart? Welcome to appserver.io – the worlds first open source application server for PHP.

Appserver.io – The First Multithreaded Application Server for PHP written in PHP

Bitcoin is an open source digital currency which could be transferred in a P2P payment network. It is decentralized and it is not controlled by any central authority or banks. It is transferred from person to person and no authority will be aware of your transaction. Its quite different from PayPal or Banks.

How Bitcoin works? A simple introduction.

Recently you might have seen many news that big organization like Redhat, Fedora, Wikipedia switched their database from MySQL. Now Google also going to join them. Why everyone want to move out of MySQL? It is once a popular and stable software. What is the reason behind and what are the possible alternatives.

Is it good time to switch from MySQL and choose some other database?

People who have taken programming as their career has to do coding for almost 30 years. Will they always get an opportunity to do complex tasks or to write project from scratch? The answer is NO. Sometimes they may get but not always. What should they do?

Why Experienced Programmers Should Contribute to Open Source

I could see many many students posting this question in many forums, I want to contribute to open source but How to contribute? There are many ways to do that. I have listed a few and I hope it might be useful.

How to contribute to open source

PrestaShop is an Open Source eCommerce Solution. It comes complete with over 310 features that have been carefully developed to assist business owners in increasing sales with virtually little effort. It is being used in more than 150,000 online stores.

PrestaShop - A feature rich Open Source eCommerce solution

What the benefit will i get, if i contribute to Open Source? This is the frequently asked question by many people. I just want to pen down the benefits which i know and i hope you will agree with it.

Benefits in contributing to Open Source

Open Source projects requires sponsors to fund their project. Few got good funding but few others are struggling to continue their project. A contributor, who does full time work in open source project requires funding to take care his needs. He has to be paid and he cannot do it for free. For those who don't get fund, check out this crowdfunding sites, these are exclusively for open source projects. Join these, get some fund and continue your dream.

Crowdfunding for Open Source Projects

You may require GBs of data to do performance or load testing. How your app behaves when there is loads of data.  You need to know the capacity of your application. This is the frequently asked question from the sales team "The customer is having 100GB of data and he wants to know whether our product will handle this? If so how much RAM / Disk storage required?". This article has pointers to the large data corpus.

10 sites to get the large data set or data corpus for free

In this article we will explore about Apache Commons library in Java

Introduction to Apache Commons Lang

In this article we will explore about Google Guava library 

How to Leverage Google Guava library for efficient Java development

Deep Insight on Lodash js library, Learn with Examples

Deep Insight on lodash.js library

In this article, we will learn about how to create Bar Chart, Area Chart, Bubble Chart, Doughnut and Pie Charts, Line Chart, Mixed Chart Types, Polar Area Chart, Radar Chart, Scatter Chart, Cartesian Axes, Category Axis, Logarithmic Axis, Radial Axes, Labeling Axes, Styling using ChartJS.

ChartJs Visualization Library - A Detailed Walkthrough

Data Visualization Using Tremor React Library

In the world of data visualization, charts play a pivotal role in conveying information in a visually appealing and easily understandable manner. Charting libraries simplify the process of creating various types of charts, enabling developers to showcase data trends, comparisons, and distributions effectively. 

Create Basic Charts with ChartJS

Coursera is a social entrepreneurship company that partners with the top universities in the world to offer courses online for anyone to take, for free. Their courses include in various categories like Biology, Business management, Computer science, Robotics, Artificial Intelligence, Finance, Nutrition, Law, Mathematics, Medicine, Genetics, Data analytics and lot more.



Coursera - Take the World's Best Courses, Online, For Free

EdX is an online learning platform founded by Harvard University and the Massachusetts Institute of Technology (MIT). Along with offering online courses, the institutions will use edX to research how students learn and how technology can transform learning–both on-campus and worldwide. EdX is based in Cambridge, Massachusetts and is governed by MIT and Harvard.

EdX - The Future of Online Education from MIT and Harvard

Bloom Filter in Java using Google Guava. Bloom Filter is an probabilistic data structure which checks the presence of an element.

Bloom Filter in Java using Google Guava

I have been writing on the desktop image processing application. At the version 1.0, I use the octree color quantization algorithm to reduce image to 256 colors, which is highly memory efficient with each pixel assigned the color at the center of the octree bin in which it falls. On the other hand, generates the palette using the distribution of colors in the image, but it does not consider the frequency of color. This means that if an image is composed of similar colors overall but has many different low-frequency colors or noise, octree's results can be very poor.

Top 3 color quantization algorithms

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