CodeCombat
CheckIO
Project Euler
Scratch
Exercism
Screeps
Tynker
Code.org
Qdrant
Weaviate
Milvus
Vespa.ai
Pinecone
ElasticSearch
Zilliz
Algolia
Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.
CodeCombat QdrantCodeCombat is recommended for beginners, especially younger individuals or students, who are interested in learning programming in a gamified environment. It's particularly suitable for those who enjoy visual learning and interactive challenges.
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Qdrant's answer:
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
Qdrant's answer:
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
Qdrant's answer:
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
CodeCombat might be a bit more popular than Qdrant. We know about 72 links to it since March 2021 and only 64 links to Qdrant. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Anita: I have lifetime access to the subscription-based code-learning website, CodeCombat, where I enjoy learning Python and taking all the Game Development courses offered there. Those games I made were a part of the Game Development 1 and 2 courses (there is also a 3rd course) on CodeCombat. You code the games entirely on your own from scratch by the use of the knowledge you have gathered from the lessons in the... - Source: dev.to / over 2 years ago
And https://codecombat.com, which has been around for a while now. I think this paradigm (navigating a character using "move" function invocations) is good but kind of exhausts its usefulness after a while. I question whether my daughter learns coding this way or just is playing a turn based top down platformer. The most code like thing is when you use 'loops' to have characters repeat sequences of moves. I... - Source: Hacker News / over 2 years ago
So now, while you have time (yes you have no time now but when you are out of school working with a child and or no summer vacation you will have less time) you can try MIT Scratch or CodeCombat and learn to code. For you it's a long the goal is to make 1 app or a handful of apps in 4 years until you graduate. That's absolutely doable even for someone who knows 0 about coding. Then when you graduate, if you are... Source: over 2 years ago
You can also have a look on Erase All Kittens (quite interesting) and also Code Combat. Source: almost 3 years ago
Https://codecombat.com/ is REALLY good, the free levels have enough content for ~10 weeks for an intro to programming term. Source: about 3 years ago
If you build on the JVM and want to use Qdrant, the official client is io.qdrant:client โ and it's built for Java. Every call returns a ListenableFuture, requests are assembled with protobuf builders, and it drags a gRPC/Netty stack onto your classpath. From Kotlin, that means fighting the language:. - Source: dev.to / about 16 hours ago
The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools for your Claude Code instance to manage long-term memory operations, and your memories data never leaves your machine. - Source: dev.to / 5 months ago
Qdrant: Open-source vector database optimized for hybrid search and easy integration with ML workflows. - Source: dev.to / 8 months ago
Yes, Java SDKs are critical. But you don't need to rebuild entire orchestration engines just to write agents in Java. The ecosystem already has platforms solving the hard problems: memory (Zep, Mem0, LangMem), tools (specialized platforms), vectors (Pinecone, Weaviate, Qdrant), observability (LangSmith, Helicone, Langfuse). Integrate, don't rebuild. - Source: dev.to / 9 months ago
James Allsopp adds, "LangChain or LlamaIndex for managing LLM workflows, especially if you're adding vector search or documents." These tools handle multi-step processes, essential for complex apps. - Source: dev.to / 11 months ago
CheckIO - CheckIO is a web site with a mission: To teach JavaScript and Python coding skills through a game-playing interface. It is designed to teach new skills or improve existing skills through completing challenges.
Weaviate - Welcome to Weaviate
Project Euler - Project Euler is a series of challenging mathematical/computer programming problems that will...
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Scratch - Scratch is the programming language & online community where young people create stories, games, & animations.
Vespa.ai - Store, search, rank and organize big data
