HTML5 Game Development by Example: Beginner's Guide. Make the most of HTML5 techniques to create exciting games from scratch

Seng Hin Mak

Mastering Python Regular Expressions. For Python developers, this concise and down-to-earth guide to regular expressions

Victor Romero, Felix L Luis

Regular expressions are used by many text editors, utilities, and programming languages to search and manipulate text based on patterns. They are considered the Swiss army knife of text processing. Powerful search, replacement, extraction and validation of strings, repetitive and complex tasks are reduced to a simple pattern using regular expressions.Mastering Python Regular Expressions will teach you about Regular Expressions, starting from the basics, irrespective of the language being used, and then it will show you how to use them in Python. You will learn the finer details of what Python supports and how to do it, and the differences between Python 2.x and Python 3.x.The book starts with a general review of the theory behind the regular expressions to follow with an overview of the Python regex module implementation, and then moves on to advanced topics like grouping, looking around, and performance.You will explore how to leverage Regular Expressions in Python, some advanced aspects of Regular Expressions and also how to measure and improve their performance. You will get a better understanding of the working of alternators and quantifiers. Also, you will comprehend the importance of grouping before finally moving on to performance optimization techniques like the RegexBuddy Tool and Backtracking.Mastering Python Regular Expressions provides all the information essential for a better understanding of Regular Expressions in Python.

Learn Blender Simulations the Right Way. Create attractive and realistic animations with Mantaflow, rigid and soft bodies, and Dynamic Paint

Stephen Pearson

Blender is a free, open source 3D software that allows you to create stunning visual graphics, animation, VFX, and much more!This book is an in-depth guide to creating realistic and eye-catching simulations, understanding the various settings and options around their creation, and learning how to troubleshoot solutions to your own Blender problems. In addition, this book can also be used to simulate the behavior of certain physics effects, such as fire, fluid, soft bodies, and rigid bodies.You’ll learn how to use Mantaflow, an open source framework within Blender software, to create fire, smoke, and fluid simulations. As you progress, you’ll understand how to easily produce satisfying rigid and soft body simulations, along with cloth simulations. Finally, you’ll use Dynamic Paint, Blender’s modifier, and the physics system to create eye-catching animations.By the end of this Blender book, you’ll have created a number of animations on your own, such as a campfire, waterfalls, and explosions. You’ll also have gained a deeper understanding of all the simulation options in Blender, which you can use to create portfolio-ready animations.

Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

Vijaya Kumar Suda

Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today’s data-driven world, mastering data labeling is not just an advantage, it’s a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution.With this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively.By the end of this book, you’ll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data.

Marketing Automation with Mailchimp. Expert tips, techniques, and best practices for scaling marketing strategies and ROI for your business

Margarita J. Caraballo

Are you looking for an all-in-one comprehensive guide to implementing Mailchimp channels and automation for your business? Then Marketing Automation with Mailchimp can be your go-to guide. You’ll start by learning common terms used in the Mailchimp environment, as well as about account setup and audience management for businesses. After that, you’ll find out how to set up channels, where you’ll actively interact with your contacts and begin to add new ones. Additionally, you’ll gain an understanding of how to set up a consistent marketing presence in the form of emails and websites and the benefits of determining a brand identity.You’ll also explore advanced Mailchimp features to optimize platform utilization using analytics, reporting, A/B and multivariate testing, the customer journey builder, and the Mailchimp e-commerce store. Toward the end, you’ll discover some important shopping, payment, and CRM integrations that can be connected to your Mailchimp platform for custom business needs. With this book, you’ll gain insights into real-world use cases to implement a marketing strategy to extend your existing work.By the end of this book, you’ll be well-equipped to implement Mailchimp marketing automation seamlessly into your business to grow your customer base and revenue.

Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition

Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali

Unleash the power of data to reach your marketing goals with this practical guide to data science for business.This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects.You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions.As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior.By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making.

Building Wireless Sensor Networks Using Arduino. Leverage the powerful Arduino and XBee platforms to monitor and control your surroundings

Matthijs Kooijman

Architecting Solutions with SAP Business Technology Platform. An architectural guide to integrating, extending, and innovating enterprise solutions using SAP BTP

Serdar Simsekler, Eric Du

SAP BTP is the foundation of SAP’s intelligent and sustainable enterprise vision for its customers. It’s efficient, agile, and an enabler of innovation. It’s technically robust, yet its superpower is its business centricity.If you’re involved in building IT and business strategies, it’s essential to familiarize yourself with SAP BTP to see the big picture for digitalization with SAP solutions. Similarly, if you have design responsibilities for enterprise solutions, learning SAP BTP is crucial to produce effective and complete architecture designs.This book teaches you about SAP BTP in five parts. First, you’ll see how SAP BTP is positioned in the intelligent enterprise. In the second part, you’ll learn the foundational elements of SAP BTP and find out how it operates. The next part covers integration architecture guidelines, integration strategy considerations, and integration styles with SAP’s integration technologies. Later, you’ll learn how to use application development capabilities to extend enterprise solutions for innovation and agility. This part also includes digital experience and process automation capabilities. The last part covers how SAP BTP can facilitate data-to-value use cases to produce actionable business insights.By the end of this SAP book, you’ll be able to architect solutions using SAP BTP to deliver high business value.