Python

Entfesseln Sie die Leistungsfähigkeit von DuckDB für moderne Geodatenanalyse. Dieser praxisnahe Leitfaden hilft GIS-Fachleuten, effiziente räumliche Datenverwaltung zu meistern und massive reale Datensätze mithilfe von SQL, Python und der räumlichen Erweiterung von DuckDB in aussagekräftige Erkenntnisse zu verwandeln. Eine farbige Druckausgabe ist auf Amazon erhältlich.

释放 DuckDB 在现代地理空间分析中的强大能力。本书通过实践导向的方式，帮助 GIS 专业人员掌握高效的空间数据管理方法，利用 SQL、Python 以及 DuckDB 的空间扩展，将海量真实世界数据转化为有价值的洞察。全彩印刷版可在 Amazon 上购买。

Desbloquea el poder de DuckDB para la analítica geoespacial moderna. Esta guía práctica ayuda a los profesionales de SIG a dominar la gestión eficiente de datos espaciales, transformando grandes conjuntos de datos del mundo real en conocimientos valiosos mediante SQL, Python y la extensión espacial de DuckDB. La edición impresa a todo color está disponible en Amazon.

LangChain 4 Beginners teaches you how to build real Generative AI applications by treating LLMs as stateless components and RAG as a system architecture—not magic. Learn how embeddings, vector search, and retrieval pipelines actually work, and build your first production-ready RAG application step by step.

Machine learning doesn’t fail in theory—it fails in production. This book shows you how to build PyTorch systems that remain robust when data shifts, assumptions break, and reliability matters.

In this book, we will see how we can connect a Local AI (local LLM) using Python to do whatever you want; in the book, we will create a chat.

En este libro veremos como podemos conectar una IA en Local (LLM en local) mediante Python para hacer lo que quieras; en el libro, crearemos un chat.

This book walks you through building a real customer management desktop application using Python, Tkinter, ttkbootstrap, and SQLite—from the first window to a packaged, installable app.No demos. No shortcuts. Just real software.

Elevate your skills from programmer to architect and command the final frontier of Python.[1] Master advanced internals, high-performance concurrency, and the magic of AI orchestration. Build stateful agents with LangChain and RAG to create intelligent, enterprise-grade systems. Your expedition reaches its pinnacle—start building the future of AI-driven software today.

Ready to transform your Python scripts into professional, scalable web applications? Master Flask, SQLAlchemy, and RESTful APIs with this project-driven, mission-critical guide. Learn to build, secure, and deploy robust backend services that serve the real world. Stop coding for your machine and start building for the internet—your launch begins here.

The universe is no longer just observed; it is computed through the lens of Python and Artificial Intelligence. Master NASA-grade orbital simulations, classify galaxy morphologies with CNNs, and deploy Vision Transformers. Create autonomous LLM agents that mine ArXiv for breakthroughs and GANs that generate realistic nebulae. Join the new breed of scientist-programmers and build the future of computational astronomy today.

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.

Unlock the Black Box of Artificial Intelligence. 🧠✨ Stop simply calling API functions and start building the future. Volume 11 is a code-first masterclass that takes you from the mathematical roots of a single neuron to the cutting edge of Generative AI. Learn to build neural networks from scratch in NumPy before mastering PyTorch and Transformers. Don't just use AI—understand the "why" behind it.

Stop Scripting. Start Discovering. 🚀 You’ve mastered Python’s syntax—now it’s time to master the data. Volume 10 marks your transition from imperative coding to the vectorized, analytical mindset of a Data Scientist. Move beyond "copy-paste" snippets and learn the architectural foundations of NumPy, Pandas, and Scikit-Learn. Don’t just write code; derive intelligence.

The Digital Battlefield Has Changed. Is Your Defense Ready? 🛡️ Manual checks are no longer enough. To secure modern infrastructure, you must move from reactive to proactive. Defensive Cybersecurity with Python is your field manual for building automated, intelligent defenses. From real-time system monitoring to building your own lightweight SIEM, learn to turn Python into your ultimate security weapon. Stop reacting to threats—start automating your defense.