Prosper Otemuyiwa is a Food Ninja, Open Source Advocate & Self-acclaimed Developer Evangelist.
As website and mobile apps rely more on visual media to create engaging user experiences, delivering strong web and app performance becomes more challenging for developers. The faster your site, the more time visitors would spend on it. Conversely, the slower the site, the higher the bounce rate, and the lower Google ranks it in SEO.
The past decade has seen massive improvements in software tools that facilitate coding. In fact, a campaign is currently underway to promote building software with no-code tools like Bubble, which promise to be a boon for those not acquainted with the rudiments of programming.
Deep learning, a subset of machine learning, breaks down tasks in ways that make all kinds of machine assists possible. With deep learning, you can identify images by machine, i.e., instead of hand-coding software with specific instructions for a task, you train the machine with large amounts of data and algorithms that enable it to learn how to perform the task.
Social media is now one of the most effective channels for attracting customers. That’s because not only is the content readily accessible worldwide, but also entrepreneurs are rapidly building products for global consumption. A visit to ProductHunt will show you that such a phenomenon is happening faster than you think. The richer and more captivating your content is, the more visitors enjoy engaging with your site, ultimately leading to an impressive expansion of your customer base over time.
The bane of our existence is the lack of efficient ways for tackling the plethora of recurring tasks in our lives. One of those tasks is surfing the internet. We consume a lot of web content daily, of which a large percentage are images and videos. We’re constantly quickly scrolling through 30-second videos or checking out pictures of cute items we’d like to buy in our free time.
Setting up the infrastructure for video uploads can go from straightforward to complex real fast. Why? Because many challenges are involved in building a foolproof service for an efficient and smooth process.
Videos are large media files—in most cases, at least four times larger than images—and are often created for ads, marketing campaigns, and instructional content to convey as much information as possible in a short time. Ensuring that videos do not buffer all the time and that the user’s data is protected from rapid consumption due to heavy page weight must be the modus operandi for all website builders and e-business owners.
Part 1 of this post defines the capabilities of an enhanced Gravatar service, which I named Clavatar, and describes the following initial steps for building it:
This post, part 2 of the series, explains how to make Clavatar work like Gravatar and to develop Clavatar’s capabilities of enabling requests for various versions of the images related to user accounts.
The advent of web development since 25 years ago has given birth to an abundance of online services that help developers build apps efficiently and smoothly. Gravatar is a shining example of such a service. Built by WordPress, Gravatar generates globally recognized avatars. Fun fact: 80 percent of Gravatar users first came across that service when reading a WordPress blog.
Laravel, currently the most popular PHP framework, offers databases an efficient, well-written Active Record implementation, called the Eloquent Object-Relational Mapper (ORM). Specifically, Eloquent maps a database table to an Eloquent model along with fluent methods and expressions for querying and modifying the database’s records.
