Books

Este libro está pensado para perfiles como analistas de datos, administradores web, profesionales de seguridad, programadores de Python y cualquier persona que necesite realizar extracción de datos de la web de una forma automatizada. Se van a asumir conocimientos sobre programación y en concreto el lenguaje de programación Python.

Discover the thrilling world of Reinforcement Learning (RL) in our engaging eBook! Learn the fundamentals of RL, from AI agents and environments to rewards and actions. Explore real-world applications like robotics, healthcare, and personalized recommendations, where RL is transforming industries.

FastAPI is a great web framework for creating web APIs with Python; It offers us multiple features with which it is possible to create modular, well-structured, scalable APIs with many options such as validations, formats, typing, among others.

FastAPI es un framework web estupendo para la creación de APIs web con Python; nos ofrece múltiple características con las cuales es posible la creación de APIs modulares, bien estructuradas, escalables y con muchas opciones como validaciones, formatos, tipados entre otros.

You will find this book very useful if you are having a difficult time passing coding interviews in the high-tech industryor you are spending months preparing for coding interviews and desire to accelerate your preparation processor you simply want to refresh your memory on Python and algorithms so that you can rock the coding interview in days

¡Descubre el mundo de la programación en Python con ChatGPT como tu guía! Sumérgete en conceptos esenciales, resuelve desafíos interesantes y divertidos, y explora el mundo ilimitado de la codificación. Este entretenido viaje te capacitará para dominar Python en solo 100 prompts, animándote a liberar tu creatividad y tu potencial como programador.

You're about to embark on a journey unlike any other. This isn't just another Python book; it's a voyage of discovery through the cosmos. If you've always been captivated by the mysteries of the universe and wanted to learn to code, you've picked up the right guide!

This book is a comprehensive guide to understanding and utilizing PyTorch 2.0 for deep learning applications. Through step-by-step examples, the reader learns to perform basic arithmetic operations on tensors, manipulate them, and understand errors related to tensor shapes.

Discover the world of Python programming with ChatGPT as your guide! Dive into essential concepts, solve engaging and fun challenges, and explore the limitless potential of coding. This joyful journey will empower you to master Python in just 100 prompts, equipping you with the necessary skills to unleash your creativity as a promising programmer!

The book contains the full transcript of Software Diagnostics Services training with 16 hands-on exercises on various topics related to Linux API.

This book provides an introduction to Python test automation that is light and accessible. A good read for test professionals as well as Python novices.

A practical approach to Prompt Engineering for developers. Dive into the world of Prompt Engineering agility, optimizing your prompts for dynamic LLM interactions. Learn with hands-on examples from the real world and elevate your developer experience with LLMs. Discover how the right prompts can revolutionize your interactions with LLMs.

If you're looking for a comprehensive guide to prepare for Python interviews, The Python Interview Handbook 2023 is the perfect resource for you. This book is a must-read for anyone who wants to excel in Python interviews, and it covers more than 500 interview questions and answers about Python.

Unleash your machine learning potential with "DataQuest: The Path to Kaggle Glory." Discover the secrets to dominating Kaggle competitions as you embark on an epic journey of data exploration and algorithmic mastery. From preprocessing to ensembling, this booklet is your ultimate guide to conquering the challenges and emerging victorious.

This book takes the reader from understanding the challenges of deep learning and numerical computations in the existing frameworks to the essentials of Google JAX, its functionalities, and how to leverage it in real-world machine learning and deep learning projects.