Systems | Development | Analytics | API | Testing

One example of a modern e-commerce marketing automation platform is Drip, which has different powerful features designed for businesses’ prosperity. In 2013, Drip came into existence and was later bought by Leadpages in 2016. It aims at making the marketing procedure for an internet shop simpler. It offers SMS message automation and streamlined email marketing campaigns for customer-centric individualization.

If you’re looking to build an app with realtime data APIs but don’t know which data source to use, you may find yourself struggling to get started due to the sheer amount of options available to you. In this blog, we’ll dig into some of our favorite free examples to choose from (it’s worth a quick note to remind you to check their usage license and free tier allowance). Below are data sources split into transport, weather, and currency sources.

As an industry built on data, financial services has always been an early adopter of AI technologies. In a recent industry survey, 46% of respondents said AI has improved customer experience, 35% said it has created operational efficiencies, and 20% said it has reduced total cost of ownership. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology.

Parallel processing in computers is like having an efficient team working on different parts of a task simultaneously. In traditional programming, tasks are executed one after the other, like solving a puzzle piece by piece. However, parallel processing divides the task into smaller chunks, and these chunks are handled simultaneously by multiple processors or cores. Python provides modules that allow programs to leverage multiple processor cores efficiently.