Introduction of Online Taxi Booking Ecosystem Over the last few years, the concept of traditional taxi services has become almost non-existent. Evolution of incredible has taken over the market by a storm. In a lot of places, especially metropolitan cities, the concept of hiring a taxi has become extremely prevalent. Hiring a taxi not only falls cheaper than owning your car but it also spares you from the troubles of jam-packed roads and car repairs. Moving on, companies like Uber, Ola, Lyft, and more have made getting a ride just one tap away. These apps have dominated the market and are certainly here to stay. So, if you are looking to venture into your taxi booking service app, there is no better time than today. In this article, we will look at the various taxi apps available out there and how they are developed. Finally, we shall also delve into the cost aspect of . Let’s begin. Market Size and Stats The market for taxi booking mobile apps has witnessed significant growth in the past few years. New apps have bourgeoned to enhance people’s experience of hiring a taxi. However, out of the lot, one app that has shown incredible success is Uber. Garnering worldwide recognition, the company has touched the pinnacle of success in less than a decade, commanding a noteworthy global market value of $72 billion. Other Key Uber Statistics are: Besides, the global taxi booking service market was valued at $36,450 million in 2017. This is anticipated to reach $126,521 million by 2025, marking a CAGR of 16.5% from the year 2018-2025. Types of Taxi Booking...
The world of the internet has expanded and has covered almost all aspects of our lives. The Internet of Things has made everyday living genuinely digital. Internet is no longer just confined to random searches of the elusive piece of information, but a means to carry out most of the activities from banking to switching on the bathroom geyser. And with the internet, so has the cybersecurity threats entered almost all aspects of our lives. Thus, it becomes imperative to safeguard ourselves from the loopholes which the hacking faculties might prey upon. The most trusted and foolproof method used by Cyber Security is the use of the Web Application Penetration Testing tools or Web Pen Tools to check the network, server, or web application and in case of an attack identifies and blocks the loopholes; preventing the worse. Web Application Penetration Testing tools To counter the advances in the field of hacking, it is essential to keep abreast of the latest and the best in the Web Pen Tools. Here is the list of some of the top Web Application Penetration Testing tools one can use to test web app penetration if any: This is a web vulnerability scanner that can scan and detect vulnerabilities of over 4500 kinds, including XSS and SQL injections. It is fully automated, thus saving hours and hours of manual testing. It has high accuracy and low false positives rates. Thus it is fast and reliable. With an advanced manual Pen tool and can be easily integrated with other popular WAFs and vulnerability trackers. It can be operated on CMS systems and supports HTML5, JavaScript, and Single page...
What are we going to compare? As the time goes by, the answer to this question becomes more complicated. If we look at it from the angle of two Javascript libraries, here what we will get: a relatively small ReactJS library for building user interfaces and a comprehensive AngularJS web application development framework. Well, if it was that straightforward, most likely this article wouldn’t exist. Things are more complicated than they may appear at first partly due to the differences between the versions of AngularJS. On the other hand, ReactJS isn’t also as simple as you may suppose. It has acquired such components like React Router and Redux, which altogether with the library itself work as a serious ecosystem. In this article, sometimes I’ll refer to ReactJS itself, while other times I’ll mention ReactJS ecosystem. As for AngularJS, I’ll refer to different versions including new AngularJS 4 (became available on the 23 of March, 2017), which is backward compatible with Angular 2. This is an updated article of the one that was published on the 8 of July, 2016. Therefore, I would like mention the main news that have taken place since the first article. Angular 2 came out with semantic system versioning that was meant to make switch between versions more meaningful. However, later when the time to switch to Angular 3 came, this improvement partly caused the problem. Finally, due to misalignments in Angular versions, package router was unable to find Angular 3. This is how third version had been skipped and after a number of beta-versions, Angular v4 was recently launched. Framework vs Set of Libraries...
Across the United States, COVID-19 wards like this one at University of Wisconsin Health in Madison are filling up fast, but federal data on their patient numbers and available beds are suspect, which could hinder getting personal protective equipment, other supplies, or medicines to where they are needed most. Federal system for tracking hospital beds and COVID-19 patients provides questionable data By Charles PillerNov. 29, 2020 , 4:30 PM This story was supported by the Science Fund for Investigative Reporting. In mid-November, as the United States set records for newly diagnosed COVID-19 cases day after day, the hospital situation in one hard-hit state, Wisconsin, looked concerning but not yet urgent by one crucial measure. The main pandemic data tracking system run by the Department of Health and Human Services (HHS), dubbed HHS Protect, reported that on 16 November, 71% of the state’s hospital beds were filled. Wisconsin officials who rely on the data to support and advise their increasingly strained hospitals might have concluded they had some margin left. Yet a different federal COVID-19 data system painted a much more dire picture for the same day, reporting 91% of Wisconsin’s hospital beds were filled. That day was no outlier. A Science examination of HHS Protect and confidential federal documents found the HHS data for three important values in Wisconsin hospitals—beds filled, intensive care unit (ICU) beds filled, and inpatients with COVID-19—often diverge dramatically from those collected by the other federal source, from state-supplied data, and from the apparent reality on the ground. “Our hospitals are struggling,” says Jeffrey Pothof, a physician and chief quality officer for the health system of the...
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