Systems | Development | Analytics | API | Testing

Your company needs to deliver the best product possible. And to do that, you need to test, test, and test some more. But many organizations lack the tools to manage testing properly. This is a particularly common issue for the many teams who use Jira to track issues throughout the development process. That’s because Jira doesn’t have built-in testing functionality. So, for organizations who haven’t added testing tools, test cases are managed manually, and often tracked in a spreadsheet.

A lot happens in the life of a product (or application or software). Let’s say your organization has an idea for a product. There are processes that the idea needs to go through before it can become a product. ALM is used to manage those processes.

Having the right pricing model and billing software is extremely important for any SaaS company. Setting up a recurring billing solution for your SaaS product users may seem like a lofty goal, but can be easily tackled with the help of subscription billing software: One thing is certain: doing it manually or with software that is not geared for on-demand software is a waste of time and company resources.

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Organizations looking to improve their bottom lines have embraced automation for decades. Simple automation has long been bringing benefits to businesses and public sector organizations alike, despite being limited to supporting small tasks and workflows.

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.