Learning LEGO MINDSTORMS EV3. Build and create interactive, sensor-based robots using your LEGO MINDSTORMS EV3 kit

Gary Garber

Python Machine Learning By Example. Unlock machine learning best practices with real-world use cases - Fourth Edition

Yuxi (Hayden) Liu

The fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts.Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine.This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.

Building Web Applications with Flask. Use Python and Flask to build amazing web applications, just the way you want them!

Italo M Campelo Maia, Jack Stouffer, Gareth Dwyer, Italo Maia

Python Data Cleaning and Preparation Best Practices. A practical guide to organizing and handling data from various sources and formats using Python

Maria Zervou

Professionals face several challenges in effectively leveraging data in today's data-driven world. One of the main challenges is the low quality of data products, often caused by inaccurate, incomplete, or inconsistent data. Another significant challenge is the lack of skills among data professionals to analyze unstructured data, leading to valuable insights being missed that are difficult or impossible to obtain from structured data alone.To help you tackle these challenges, this book will take you on a journey through the upstream data pipeline, which includes the ingestion of data from various sources, the validation and profiling of data for high-quality end tables, and writing data to different sinks. You’ll focus on structured data by performing essential tasks, such as cleaning and encoding datasets and handling missing values and outliers, before learning how to manipulate unstructured data with simple techniques. You’ll also be introduced to a variety of natural language processing techniques, from tokenization to vector models, as well as techniques to structure images, videos, and audio.By the end of this book, you’ll be proficient in data cleaning and preparation techniques for both structured and unstructured data.

Nagios Core Administration Cookbook. Over 90 hands-on recipes that will employ Nagios Core as the anchor of monitoring on your network - Second Edition

Tom Ryder

Nagios Core is an open source monitoring framework suitable for any network that ensures both internal and customer-facing services are running correctly and manages notification and reporting behavior to diagnose and fix outages promptly. It allows very fine configuration of exactly when, where, what, and how to check network services to meet both the uptime goals of your network and systems team and the needs of your users.This book shows system and network administrators how to use Nagios Core to its fullest as a monitoring framework for checks on any kind of network services, from the smallest home network to much larger production multi-site services. You will discover that Nagios Core is capable of doing much more than pinging a host or to see whether websites respond. The recipes in this book will demonstrate how to leverage Nagios Core's advanced configuration, scripting hooks, reports, data retrieval, and extensibility to integrate it with your existing systems, and to make it the rock-solid center of your network monitoring world.

Photographic Rendering with V-Ray for SketchUp. Turn your 3D modeling into photographic realism with this superb guide for SketchUp users. Through concrete examples, screenshots, and images, you’ll learn the practical side to photographic rendering using V-Ray

Brian Bradley

Design Made Easy with Inkscape. A practical guide to your journey from beginner to pro-level vector illustration

Christopher Rogers

With the power and versatility of the Inkscape software, making charts, diagrams, illustrations, and UI mockups with infinite resolution becomes enjoyable. If you’re looking to get up to speed with vector illustration in no time, this comprehensive guide has got your back! Design Made Easy with Inkscape is easy to follow and teaches you everything you need to know to create graphics that you can use and reuse forever, for free!You’ll benefit from the author’s industry experience as you go over the basics of vector illustration, discovering tips and tricks for getting professional graphics done fast by leveraging Inkscape's powerful toolset. This book teaches by example, using a great variety of use cases from icons and logos to illustration, web design, and product design. You’ll learn about hotkeys and take a best-practices approach developed over ten years of using Inkscape as a design tool in production. What’s more, this book also includes links to free graphics resources that you can use in all your projects.Whether you’re a new user or a professional, by the end of this book, you’ll have full understanding of how to use Inkscape and its myriad of excellent features to make stunning graphics for your projects.

Pandas Cookbook. Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition

William Ayd, Matthew Harrison, Wes McKinney

Unlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features. From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease.