Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Microservice Architecture with Spring Boot, Spring Cloud and Docker
- spring-boot
- spring-cloud
- microservices
- docker
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
📖 Build a RESTful API on Go: Fiber, PostgreSQL, JWT and Swagger docs in isolated Docker containers.
TranslatedAn agent development practice room based on LangGraph subgraphs: requirement clarification, user notes, document generation, and human review.
Translated🐋 Complete guide in Russian: how to install and run DeepSeek locally (V4, R1) on PC, Mac and server — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG, agents, fine-tuning, best tips and tricks
- ai-agents
- deepseek
- deepseek-r1
- deepseek-v4
I love to teach dotnet concepts in a simple way with real world examples to people who aspire to to be a dotnet developer. I also help developers to refresh their memory with easy to understand analogy.
- dotnet
- csharp
- linq
- blazor