There are a variety of technology stacks for Artificial intelligence (AI), Machine learning (ML) and data analytics applications. However, the ideal programming language for AI must be powerful, scalable and readable. All three conditions are met by the Python programming language. With outstanding libraries, tools and frameworks for AI, ML and data analytics, Python has proven success leveraging all three technologies.
As an app developer, your task includes using programming languages to create, test and develop applications on mobile devices. Your tasks also involves coding, designing and troubleshooting. Did you know your arduous job can be simplified using cross-platform development like the React Native framework?
Agile methodologies have improved software development success rates, application quality and IT team productivity for nearly two decades. The iterative process encourages collaboration, responsiveness and flexibility with shorter development cycles addressing current application needs. Most importantly, agile methodologies have a direct link to improved client satisfaction.
With a plethora of programming languages available today, the important question is “Which programming language does a programmer prioritize learning?” Without a doubt, the world of programming revolves around experienced programmers with cutting-edge coding skills. So, if you’re planning a successful career in software development, understanding the hottest, trending languages is key.
You’ve spent hours unsuccessfully figuring out why users are unable to complete the payment portion on your website. You and collaborating developers are searching errors and logs from production, but everyone reports “it works on my machine.” And your company continues to lose money from every user who cannot complete their purchase.
If you’ve had your tent pitched in the tech space for a while, you should know that everyone talks about “the cloud.” About a decade ago, it was sort of an IT buzzword. Now? Cloud software development is the next step in the business software evolution, and the numbers do not lie. Eighty-nine percent of enterprises already use a multi-cloud strategy, with 80 percent leveraging a hybrid approach, combining private and public clouds. But here’s where it gets interesting.
More and more in web application testing processes, companies deploy a mix of automated and manual testing frameworks. If implemented correctly, manual and automated application testing practices bring out the best in each other, resulting in a synergetic testing process that wholly benefits the application.
You might think that each marketer uniquely implements their landing page. However, there is a formula for landing page optimization, and following best practices will get you a healthy conversion rate. Even if you want a one-of-a-kind landing page, using tried-and-true principles will improve your results.
Software prototyping is a commonly known term that carries with it various myths. If we remove all misconceptions and present a simple definition, a software prototype is merely a base product that closely resembles the appearance and functionality of the final software product. However, this is not the case with all types of prototypes. First, you have high-fidelity (HiFi) prototypes that represent the same functionality as the final software in the truest sense.
The Agile methodology has benefited software development for many years, enabling collaboration through an iterative process that speeds time-to-market and normally results in higher quality applications. But what is the Agile software development methodology? While it’s likely that most readers are already familiar with Agile, others may just be starting out in their development careers.
