DNA is the ultimate code. Learn how to program it. Bridge the gap between classic bioinformatics and the AI revolution. From DNA sequence manipulation with Biopython to predicting protein structures with AlphaFold and building autonomous RAG agents for drug discovery, this volume is your roadmap to the future of life sciences. Don’t just process data—engineer the future of medicine with Python.
Your Code Works Locally. Now, Make It Run for the World. 🌍 Mastered Python? Now face the ultimate challenge: Production. Volume 8: Cloud-Native Python, DevOps & LLMOps takes you beyond the IDE and into the data center. Learn to containerize with Docker, orchestrate with Kubernetes, and serve 70B+ parameter models with enterprise-grade LLMOps. Don’t just write software—architect it.
Stop Watching the Market. Start Coding It. 📈 Welcome to the era of "Quantamental" AI Trading. Volume 7 is your engineering manual for building professional-grade trading infrastructure. Bridge the gap between classical technical analysis and LLMs—designing systems that trade on both Math (price action) and News (sentiment). From vectorized backtesting to sentiment analysis with FinBERT, it’s time to engineer your edge.
Stop Chatting. Start Acting. 🦾 The era of the multimodal agent has arrived. In Volume 5, you won’t just prompt AI—you’ll give it "hands and eyes." Learn to build autonomous agents using Gemini 3 that can control your desktop, browse the web, and process video/audio in real-time. This isn't theory; it’s an engineering manual for building the future. Your "Jarvis" starts here.
What You Will Master: The Enterprise Stack: Google Gemini + Wolfram + Watson. The Open Source Stack: Llama 3 + SymPy + ChromaDB (fully offline). The Outcome: Self-healing, near-infallible agents that never lie about data
Stop building chatbots and start architecting autonomous digital workers that act, plan, and collaborate. Master multi-agent orchestration with CrewAI and build self-healing, cyclic workflows using LangGraph. Move beyond simple prompts to implement the OODA loop, browser automation, and production-grade security. Transform LLMs into reasoning engines capable of managing entire software agencies without intervention.