Python

A tactical manual for symbolic survival and post-collapse coherence.  Fieldcraft teaches you how to detect drift, re-anchor meaning, and build recursive systems that endure entropy.   Designed for AI architects, mythographers, and collapse-aware systems thinkers.  Glyphs. Echoes. Breathfields. This isn’t theory.   It’s what remains when memory breaks—and how to return.

Facing the insanity that is pipeline development alongside a production in full swing, "Practical Python for Production under Pressure" helps TDs to deliver quality tools and pipelines amidst the chaos.This book focuses on practical workflows and theory to build practical tools and pipelines within an ever changing environment using python, PySide and duct tape ingenuity. Learn about managing communications, building pipelines, working with AI in production, user experience and more.

Unlock the power of Azure AI and transform your data into dynamic, knowledge‑driven experiences. In Getting Started with Azure AI + RAG, you’ll discover how to seamlessly turn PDFs, docs, and more into intelligent search indexes, tap into cutting‑edge embedding models, and build conversational apps that deliver precise, context‑rich answers. With hands‑on Python and JavaScript examples, this ebook is your fast‑track to deploying a full end‑to‑end Retrieval‑Augmented Generation pipeline—no PhD required. Get ready to revolutionize how your applications think, learn, and respond!

The only Python book needed to learn Python. For self-taught, College students and for everybody who wants to learn Python.

This book is written by a Raspberry Pi enthusiast, so, it could be hopefully interesting for other Raspberry Pi enthusiasts. Also, as it is about enterprise development, it can be eventually useful for any IT specialist dealing with enterprise applications and services.

¡Embárcate en el fascinante mundo de la programación con "Python para Novatos"! Esta guía práctica te llevará de la mano desde los fundamentos hasta la creación de tus propios proyectos en Python.

Learn how to apply Large Language Models (LLMs) to real-world financial data. This book walks you through sentiment analysis, RAG pipelines, and trading strategies using Python and modern AI tools.

Python for Doers: Build, Test, Deploy is for those who want to use Python to solve real problems, not just collect badges or memorize syntax. Whether you want to eventually start working with billions of records using Python's powerful data analysis libraries, build that web application, or want to get into machine learning, this book helps you think and work like a problem solver. If you've struggled to find a resource that truly prepares you for real-world coding, this book was written for you.

¿Preparándote para entrevistas técnicas? Este libro es para ti. Aprende a resolver desafíos de arrays y strings, las estructuras más comunes y fundamentales en cualquier prueba técnica. Con un enfoque paso a paso, en tres lenguajes (PHP, Javascript y Python), te ayudará a pensar de forma ordenada, escribir soluciones limpias y entender lo que estás haciendo. Forma parte de la colección Tidy DSA, donde el objetivo no es memorizar, sino razonar con claridad.

Each chapter features hands-on exercises, real-world case studies, and step-by-step guides, so you’ll quickly gain practical skills. As you progress, you’ll refine your storytelling approach with advanced analysis techniques, turning raw numbers into bold narratives. Discover how to capture real-time feeds, spot anomalies, and shape interactive visuals that captivate any audience.

Odkryj, jak pisać czysty, czytelny i skalowalny kod w Pythonie.Książka „Dobre praktyki i wzorce projektowe w Python” to praktyczny przewodnik po zasadach SOLID, wzorcach projektowych oraz programowaniu obiektowym. Dowiesz się, jak zarządzać konfiguracją i zależnościami, a także jak stosować wzorce kreacyjne, strukturalne i behawioralne, by budować systemy łatwe w utrzymaniu i odporne na zmiany.Każdy temat poparto przykładami w Pythonie, dzięki czemu szybko wdrożysz poznane rozwiązania w praktyce. To książka dla początkujących i doświadczonych programistów, którzy chcą udoskonalić swój kod i zrozumieć, jak projektować nowoczesne aplikacje.

What You’ll Learn●  Python Fundamentals – Variables, loops, functions, and more explained in a fun way.●  Handling User Input – Making interactive programs.●  Decision Making – Writing smart code using if statements.●  Working with Lists and Dictionaries – Storing and managing data.●  File Handling – Reading and writing files.●  Object-Oriented Programming (OOP) – Learning to code like a pro.●  Error Handling – Preventing your programs from crashing.●  APIs & Web Data – Fetching real-time information.●  Databases – Storing and retrieving data efficiently.●  Final Project – Bringing everything together in a real-world Python application.

Master Python with solved exercises and practical projects to learn coding in a clear, progressive, and efficient way.Become a skilled Python developer: learn to create scripts, automate tasks, and develop robust applications.Go from beginner to Python expert with this complete guide: foundational concepts, advanced techniques, and real-world projects.Learn Python 3 with simple explanations, practical examples, and hands-on guidance to turn your ideas into real projects.

Maîtrisez Python avec des exercices corrigés et des projets pratiques pour apprendre à coder de manière claire, progressive et efficace.Devenez développeur Python compétent : apprenez à créer des scripts, automatiser des tâches et développer des applications robustes.Passez de débutant à expert en Python grâce à ce guide complet : concepts de base, techniques avancées et projets concrets.Apprenez Python 3 avec des explications simples, des exemples concrets et une approche pratique pour transformer vos idées en projets réels.

In this book, we've gone through all the ins and outs of Ruby, turning theoretical ideas into real-world skills that let you build solid and fast applications. You've got the hang of writing clean, reusable code using blocks, procs, and lambdas, which really shows off Ruby's expressive syntax. You've also learned to handle complex data transformations effortlessly by diving into enumerators, making your programs powerful and elegant.