Systems | Development | Analytics | API | Testing

Data-driven research, a product of using interdisciplinary scientific methods for extracting knowledge, is taking over the globe. According to McKinsey & Company’s Marketing Insights, data-driven organizations are 23 times more likely to acquire customers and 6 times as likely to retain them! Also termed “the fourth paradigm of science”, data-driven research has created opportunities for big data analysis in science and other industries.

Python is a universal language that is widely used in various industries. In this post, we’ll look at 10 tricks that can help you optimize your Python code, regardless of your Python framework. From following coding conventions and meaningful names to using exceptions for error handling and taking advantage of built-in functions, these tips will help you write cleaner, faster and more maintainable code.

Have you ever wondered how modern applications, especially those built on microservices architecture, communicate with each other? In today's fast-paced, distributed computing environment, where services need to be highly available, scalable, and fault-tolerant, traditional communication mechanisms like REST APIs and SOAP may not suffice. This is where message-based communication comes into play.

Developing a procurement strategy and planning procurement activities requires many steps, such as aligning procurement goals with overall organizational objectives, conducting market research, identifying sourcing opportunities, and developing procurement plans. Procurement challenges may multiply depending on your industry. For example, if you’re in a federal agency, procurement and the entire acquisition planning process must adhere to strict regulatory demands.