JSON
JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language.
JSON is built on two structures:
1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array.
2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence.
These are universal data structures. Virtually all modern programming languages support them in one form or another.
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Interview Cake
The programming interview is a winnable game. I'll show you the tricks to quickly solve problems you've never seen before. I'll teach you the right way of thinking for breaking down tricky algorithmic coding interview questions you've never seen before. No prior computer science training is necessary — I'll get you up to speed quickly, skipping all the overly academic stuff. Big O notation is the language we use for talking about how long an algorithm takes to run. It's how we compare the efficiency of different approaches to a problem. It's like math except it's an awesome, not-boring kind of math where you get to wave your hands through the details and just focus on what's basically happening. With big O notation, we express the runtime in terms of—brace yourself—how quickly it grows relative to the input, as the input gets arbitrarily large.
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Morphik
Morphik is an open source, multimodal Retrieval-Augmented Generation (RAG) platform designed to streamline AI applications over complex, visually rich documents. Unlike traditional RAG systems that falter with non-textual data, Morphik embeds entire pages, including diagrams, tables, and images, directly into its knowledge base, ensuring no context is lost during processing. This approach enables precise search and retrieval across diverse document types such as research papers, technical manuals, and scanned PDFs. Morphik's capabilities include visual-first retrieval, knowledge graph construction, and seamless integration with enterprise data sources through its REST API and SDKs. Its natural language rules engine allows users to define how data is ingested and queried, while persistent KV-caching optimizes performance by reducing redundant computations. Morphik supports the Model Context Protocol (MCP), facilitating direct access for AI assistants.
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Red Hat Process Automation Manager
Develop cloud-native applications that automate business decisions and processes. Red Hat® Process Automation Manager is a platform for developing containerized microservices and applications that automate business decisions and processes. Process Automation Manager includes business process management (BPM), business rules management (BRM), and business resource optimization and complex event processing (CEP) technologies. It also includes a user experience platform to create engaging user interfaces for process and decision services with minimal coding. Everything business users need to model flows and policies: Business Process Model and Notation (BPMN) models, Decision Model and Notation (DMN) models and domain-specific rule languages. Build in the cloud, for the cloud. Deploy completed models as containerized microservices on Red Hat OpenShift. Utilize the full capabilities of Drools, a powerful and widely used open source rules engine.
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