Books
Skip the black-box frameworks. Build a production-grade AI coding agent from scratch in pure Python - cloud or local, tested with pytest, all in a single file.
Satellites capture massive volumes of imagery every day, but turning pixels into insight requires AI. This book teaches you to build, train, and apply deep learning models to real satellite imagery using Python and open-source tools, with 23 chapters of executable code you can run today. All code examples are freely availabe at https://book.opengeoai.org.
- Introduction à la programmation SIGUn guide pratique de Python pour les outils géospatiaux open sourceQiusheng Wu
Libérez la puissance des données géospatiales avec Python ! Ce guide pratique s’adresse aux débutants et utilisateurs intermédiaires désireux d’explorer l’analyse spatiale et la cartographie interactive à l’aide d’outils open source. Grâce à des exemples concrets et des données réelles, vous apprendrez à manipuler des données spatiales, à programmer en Python, à analyser des données vectorielles et matricielles, à créer des cartes web interactives, et à utiliser le cloud computing. Étudiant, chercheur, professionnel des SIG ou data scientist : ce livre vous donnera les outils pour relever les défis géospatiaux avec assurance.
- Discrete Mathematics for Computer ScienceAlexander S. Kulikov, Alexander Golovnev, Alexander Shen, Vladimir Podolskii, and Marie Brodsky
This book supplements the DM for CS Specialization at Coursera and contains many interactive puzzles, autograded quizzes, and code snippets. They are intended to help you to discover important ideas in discrete mathematics on your own. By purchasing the book, you will get all updates of the book free of charge when they are released.
- Python Data Science CookbookPractical solutions across fast data cleaning, processing, and machine learning workflows with pandas, NumPy, and scikit-learnGitforGits | Asian Publishing House
I wrote this cookbook to save you time troubleshooting and more time discovering insights. These recipes tackle the literal problems you'll face—mismatched keys, shape errors, memory leaks, rate limits—so that each step builds toward a smooth, automated workflow.
- Interpreting Machine Learning Models With SHAPA Guide With Python Examples And Theory On Shapley ValuesChristoph Molnar
Master machine learning interpretability with this comprehensive guide to SHAP – your tool to communicating model insights and building trust in all your machine learning applications.
- My Adventures with Large Language ModelsBuild foundational LLMs from Transformers to DeepSeek, from scratch, in PyTorch.Prathamesh S.
Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.
위성은 매일 방대한 양의 이미지를 수집하지만, 픽셀을 통찰로 바꾸기 위해서는 AI가 필요합니다. 이 책은 Python과 오픈소스 도구를 사용하여 실제 위성 이미지에 딥러닝 모델을 구축, 학습, 적용하는 방법을 알려줍니다. 지금 바로 실행할 수 있는 코드로 구성된 23개의 장을 포함하고 있으며, 모든 코드 예제는 https://book.opengeoai.org 에서 무료로 제공됩니다.
ブラックボックスのフレームワークは不要。純粋なPythonでプロダクションレベルのAIコーディングエージェントをゼロから構築。クラウドでもローカルでも、pytestでテスト済み、すべて1つのファイルに収まります。
- QuantLib Python CookbookLuigi Ballabio and Goutham Balaraman
Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.
- A Short Guide to NamingUnderstand how and why to better name modules, classes, functions, and variables.Tim Ottinger
if you've read my chapter on naming in a famous software book (first or second edition) you may want to go a little deeper. Same author, same topic, all-new content!
- Gestión de Datos Espaciales con DuckDBDesde los Fundamentos de SQL hasta el Análisis Geoespacial AvanzadoQiusheng Wu
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.
Unlock the power of DuckDB for modern geospatial analytics. This hands-on guide helps GIS professionals master efficient spatial data management, transforming massive real-world datasets into powerful insights using SQL, Python, and DuckDB’s spatial extension. Full-color print edition is available on Amazon.
- Introdução à Programação em SIGUm Guia Prático de Python para Ferramentas Geoespaciais de Código AbertoQiusheng Wu
Desbloqueie o poder dos dados geoespaciais com Python! Este guia prático foi desenvolvido para iniciantes e usuários intermediários que desejam explorar a análise espacial e a cartografia interativa com ferramentas de código aberto. Você aprenderá a trabalhar com dados do mundo real por meio de exemplos práticos e desenvolverá habilidades em programação Python, análise vetorial e matricial, mapeamento web e computação em nuvem. Seja você um estudante, pesquisador, profissional de SIG ou cientista de dados, este livro o equipará com as ferramentas necessárias para enfrentar desafios geoespaciais com confiança.
- Inside Large Language Models for absolute beginners: Volume ISimple Arithmetic and beginners Python based approachRitesh Modi
Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.
