Books
With the rise of Data Science and Machine Learning, Data Engineering is quickly becoming a in-demand skill. Data Engineering requires a unique skillset that is hard to learn without experience. I will teach you how to write scalable data pipelines and more!
Unleash the power of dynamic programming! Master efficiency and solve complex problems with expertly crafted solutions. Java and Python code examples guide your path to optimized application performance. Dive into "The Dynamic Programming Manual" and unlock the secrets of success!
- Premiers pas avec PythonLe livre que j'aurais aimé lire lorsque je débutais en programmation...Honoré Hounwanou
Apprendre à programmer n'a jamais été aussi fun !
- Python: Easier Than Instant Noodles: Basic Practical EditionEnd Excel Drudgery and Enjoy Your Coffee! The Mechanical Engineer's Essential Coding Toolboxukhwan sur
Python for engineers, by an engineer. Learn practical coding without complex theory. Automate Excel, visualize data, and build your own tools to finish work early. From basics to AI vision, transform your workflow and become a data-driven professional.
- Python Automation Projects for Beginners Build Real-World Python Scripts to Automate Files, Emails, Web Tasks, and Daily Workflows.Build Real-World Python Scripts to Automate Files, Emails, Web Tasks, and Daily Workflows.Shedy Kingston
What if Python could take care of the repetitive work for you?This book shows you how to use Python to automate real tasks—from handling files and simple workflows to reducing everyday manual effort. Through clear explanations and practical projects, you’ll learn how to turn small scripts into useful tools you can apply immediately.If you’re ready to move beyond examples and start building automation that actually saves time, this book is for you.
- Räumliche Datenverwaltung mit DuckDBVon den SQL-Grundlagen zur fortgeschrittenen GeodatenanalyseQiusheng Wu
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.
- Gestion des données spatiales avec DuckDBdes bases du SQL à l’analytique géospatiale avancéeQiusheng Wu
Libérez la puissance de DuckDB pour l’analytique géospatiale moderne. Ce guide pratique aide les professionnels du SIG à maîtriser une gestion efficace des données spatiales, en transformant d’énormes jeux de données réels en informations exploitables grâce au SQL, à Python et à l’extension spatiale de DuckDB. Une édition papier couleur est disponible sur Amazon.
- How to build a chat application with LLMs locally and Jan IA or LM Studio and connect to PythonLLMs on your PC: Create your own ChatGTP-style app with Jan AI and Python FlaskAndrés Cruz Yoris
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.
- Cómo construir un chat con LLMs en local y Jan IA o LM Studio y Conecta a PythonLLMs en tu PC: crea tu propia app tipo ChatGTP con Jan IA y Python FlaskAndrés Cruz Yoris
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.
Most Python books teach syntax. This book teaches you to build real programs. Start from clear fundamentals, then create practical command-line and desktop GUI applications step by step — with no gaps and no shortcuts.
- Building Customer Management Apps with Python & TkinterDesign, Build, and Ship a Real-World Desktop Application Using Tkinter, ttkbootstrap, and SQLiteRoberto Stepic
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.
- Web Development with Python. Building backend services and dynamic websites with a framework like FlaskEdgar Milvus
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.
- Astrophysics & AI with Python ProgrammingBuilding Research Agents for Astronomy, Cosmology, and SETIEdgar Milvus
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.
- Geospatial AI (GeoAI) with Python ProgrammingBuilding Autonomous GIS Agents, Deep Learning Models, and Interactive DashboardsEdgar Milvus
Transform static maps into intelligent systems with Geospatial AI (GeoAI) with Python Programming. Bridge the gap between GIS and AI, from satellite image analysis to autonomous LangChain agents. Master production-ready code for GNNs, U-Net architectures, and real-time spatial dashboards. Stop just looking at the map—teach your code to understand it.
