Build. Test. Deploy. Every real-world application development involves the above three stages. But do they need to be in the same sequence? Let’s start with the Waterfall model; it is sequential and moves forward in phases. But as the industry evolved, it became obsolete. Agile methodology took its place, which works iteratively to overcome its predecessor’s drawbacks. Yet again, the industry evolved to look for something more collaborative; agile no longer served the purpose precisely.

Do you know where your data is? Most organizations store data in various destinations (in-house databases, SaaS locations, cloud-based apps, etc.), which makes running analytics far more complicated. Imagine pulling data from all these destinations into one data warehouse or data lake. Life would be so much easier... "But doesn't this require a lot of code?" you may ask. Not necessarily.

Cybercrime is becoming a growing concern. Reports state that global cybercrime costs can grow to $10.5 trillion by 2025. To protect your business from cyber attacks, you need an expert security team, best security practices, and the right penetration testing tools. The penetration testing tools will help you identify the vulnerabilities in your organization’s network, thereby helping you fix them.

Do you need complete control over your production environment? If so, you might want to skip the Platform as a Service (PaaS) offerings and deploy to your own server instead. This article describes deploying a Django application to an Ubuntu server at Linode.

In today’s world, being connected anywhere and anytime is the most crucial aspect for anyone, and mobile phones as a device are one of the most critical enablers. With smartphones and internet connectivity, having access to content has become a click away. Purchase decisions and payment modes have been greatly influenced by the mobile landscape, so it has become important for companies to provide a great user experience across platforms and devices, with mobile being the prime device.

Artificial Intelligence (AI) is coming, whether we like it or not. It is likely to transform every aspect of what it means to be human and represents an existential opportunity – or potential threat – to everyone living and yet to be born. Hyperbole aside, ChatGPT software intelligence has been a hot news topic of late. While it has some limitations, to many of us it’s the first real glimpse of AI’s capabilities.

Recently, I published a blog on whether self-service BI is attainable, and spoiler alert: it certainly is. Of course, anything of value usually does require a bit of planning, collaboration, and effort. After the article was published, I began having conversations with technical leaders, analysts, and analytics engineers, and the topic of data modeling for self-service analytics came up repeatedly.

The Chief Data Officer is arguably one of the most important roles at a company, particularly those that aspire to be data-driven. CDO appointments and the elevation of data leaders have accelerated in recent years, and the role has morphed as perceptions of data have evolved. Responsibilities span strategy and execution, people and processes, and the technology needed to deliver on the promise of data.

The urllib.error.HTTPError is a class in the Python urllib library that represents an HTTP error. An HTTPError is raised when an HTTP request returns a status code that represents an error, such as 4xx (client error) or 5xx (server error).

Software development has changed a lot in the last 10 years. Practically every company is a software company today. And it’s predicted that the next 10 years will have 10-times the change. But let’s take it one year at a time and look into the future of software development 2023.