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Showing posts from July, 2025

Writing Prompts

 That's an excellent idea. Creating a good prompt for an AI video generator requires being specific and descriptive. Here are several prompts you can use, categorized by the type of educational clip you might want to create, along with tips on how to make them even better. General Tips for Writing Prompts Specify the style: Do you want it to be a real-world shot, an animation, a whiteboard drawing, or something else? Describe the subject: Be very clear about what the video should show. Set the tone: Is it a fast-paced, exciting clip or a slow, thoughtful one? Include specific actions: Don't just say "show Python." Say "show a line of code being written." Mention the background: What should the environment look like? A dark coding terminal, a bright classroom, a digital landscape? Prompt 1: The "Hello, World!" Clip (Beginner's Introduction) Description: This is a classic, simple clip to introduce the fundamental concept of printing text. P...

it possible mastring in dsa in few days if possing then give proper step by step solution

 "Mastering" Data Structures and Algorithms (DSA) in a few days is highly unrealistic for most people, especially if you're starting from scratch or have limited programming experience. DSA is a foundational concept in computer science that requires deep understanding, consistent practice, and the ability to apply theoretical knowledge to solve complex problems. While you can get a basic introduction to some fundamental concepts in a few days, true mastery, which implies the ability to efficiently solve a wide range of problems and ace coding interviews, typically takes months of dedicated effort. Here's why: Breadth and Depth: DSA covers a vast array of topics, from basic data structures (arrays, linked lists, stacks, queues, hash tables) to complex ones (trees, graphs, heaps, tries) and a multitude of algorithms (sorting, searching, dynamic programming, greedy, backtracking, graph algorithms). Each requires understanding its properties, operations, time/space com...

Aushadhi veda

  Here’s your updated project draft with the new search bar feature added to the “Newly Added Features” section: Project Draft: Aushadhi Veda 🌿 Project Vision Aushadhi Veda is a revolutionary educational platform designed to bridge the gap between traditional healing knowledge and modern-day students of agriculture and medicine. Our vision is to create a unified digital platform where students can access reliable and immersive content related to Ayurveda, Homeopathy, Siddha, Unani, Yoga, and medicinal plants. By combining modern technology with ancient wisdom, we aim to empower the next generation with knowledge that heals. 💡 Our Solution We offer an intuitive and interactive website that provides: Detailed educational content about medicinal plants 3D plant models for immersive learning Dedicated sections for Ayurveda, Siddha, Unani, Homeopathy, and Yoga A chatbot to assist with user queries and navigation Online consultation (subscription-based) E-commerce integrati...

Generative AI: The Evolution of Thoughtful Online Search

  AI Glossary This glossary covers essential AI terms and definitions to help you upskill your team effectively. It's here to support your understanding and your use of AI technologies in driving learning and development. algorithm : a set of rules or instructions given to an AI machine to perform a task or solve a problem application programming interface (API) : a set of protocols that allow different software applications to communicate with each other artificial general intelligence (AGI) : a theoretical form of AI that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks; similar to human intelligence artificial intelligence (AI) : the simulation of human intelligence in machines that are programmed to think and learn like humans bias : systematic errors in AI models that can lead to unfair or inaccurate outcomes; often due to biased training data big data : large and complex data sets that can be analyzed to reveal patterns, trends, and...

Programming Foundations: Data Structures Glossary for key approaches

  Glossary for Key Approaches A acceptance criteria [ Where to start? ;  Write acceptance criteria ] The criteria that must be fulfilled to satisfy a user story and be accepted by a project stakeholder access control [ Authorization and access control issues ] Rules specifying who can access which parts of a database ACID [ SOAP overview ] An acronym that refers to the requirement that database transactions be atomic, consistent, isolated, and durable ACL [ Authorization and access control issues ] Access control list—lists which users have what kinds of access to system resources adapter design pattern [ The Adapter pattern defined ] A pattern that is used to convert the interface of a class into another interface that clients expect @Afterall [ Test structure ] in JUnit, an annotation for code that is to be executed after all tests are completed @AfterEach [ Test structure ] In JUnit, an annotation for code that is to be executed after every test aggregate object [ Understan...