Python is a powerful and versatile programming language. However, like any language, it comes with its own set of challenges. One common issue developers encounter is the KeyError exception. In this tutorial, we’ll delve into what a KeyError is, explore common scenarios where it occurs, and provide practical solutions and best practices to handle and prevent this error.

According to a recent survey by AppDirect, half of IT decision-makers are losing sleep over security. It's no surprise, given that 45% of respondents have experienced a security breach in the last year. The threat of vulnerabilities and cyber security attacks is on the rise, and the impact of an incident can be devastating. Having the right DevSecOps strategy helps, but getting the right toolchain in place is crucial.

Every business has key customer behaviors it aims to drive — whether it's encouraging repeat purchases, promoting product upgrades or boosting add-on services. Yet, despite access to advanced marketing technology and rich customer profiles, most businesses still rely on broad, generalized lifecycle marketing campaigns that fail to engage with customers.

Every organizational activity or interaction today generates data. This quickly creates large amounts of data at organizational and departmental levels, but data generation is only the beginning. No matter how much raw data you have at your disposal, you can only leverage it fully if you know how to process it correctly for your requirements. You can process data flows using one of two approaches: batch processing or batch processing.

What do developers really think about artificial intelligence (AI)? To many, AI is synonymous with innovation. While some noisy naysayers on the sidelines may cry the promise of generative AI (GenAI) is overhyped, the reality experienced by actual developers and leaders in the digital trenches working with GenAI and large language models (LLMs) tells a clear story: AI is a top priority in the enterprise today because it has already delivered real, tangible business benefits.

The benefits of API mocking extend beyond just speeding up development. It enables developers to work independently of external APIs, eliminating delays caused by dependencies that may be out of their control. This independence is crucial for maintaining workflow efficiency, especially in complex projects involving multiple APIs. API mocking is invaluable for testing edge cases and error scenarios that might be difficult to reproduce with a live API.

Not too long ago, businesses tended to downplay the importance of integrating analytics into their operational strategies and embracing digital big data. The formidable challenges of hefty budgets and a need for more qualified digital transformation professionals were major barriers, deterring companies from fully engaging with the big data era.

Across industries worldwide, businesses are turning to ERP to automate repetitive tasks, enjoy easy scalability, stay flexible, and derive insights using a single source of truth. According to Statista, Enterprise Resource Planning (ERP) software market revenue will reach USD 53.15 billion this year. If your organization implements an ERP system, you’ll find that data migration is one of the most critical components of this process.

Effectively communicating insights derived from data is a cornerstone of successful decision-making in today's landscape. Yet, many businesses struggle to translate complex analytics into compelling narratives that resonate with diverse audiences. The ability to create engaging and informative presentations directly from data is a critical requirement for modern embedded analytics platforms.