Clean Code in PHP. Expert tips and best practices to write beautiful, human-friendly, and maintainable PHP

Carsten Windler, Alexandre Daubois

PHP is a beginner-friendly language, but also one that is rife with complaints of bad code, yet no clean code books are specific to PHP. Enter Clean Code in PHP. This audiobook is a one-stop guide to learning the theory and best practices of clean code specific to real-world PHP app development environments.This PHP audiobook is cleanly split to help you navigate through coding practices and theories to understand and adopt the nuances of the clean code paradigm. In addition to covering best practices, tooling for code quality, and PHP design patterns, this audiobook also presents tips and techniques for working on large-scale PHP apps with a team and writing effective documentation for your PHP projects.By the end of this audiobook, you’ll be able to write human-friendly PHP code, which will fuel your PHP career growth and set you apart from the competition.

Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions

Robert Dempsey, Stefan Urbanek, Saurabh Chhajed

The amount of data produced by businesses and devices is going nowhere but up. In this scenario, the major advantage of Python is that it's a general-purpose language and gives you a lot of flexibility in data structures. Python is an excellent tool for more specialized analysis tasks, and is powered with related libraries to process data streams, to visualize datasets, and to carry out scientific calculations. Using Python for business intelligence (BI) can help you solve tricky problems in one go.Rather than spending day after day scouring Internet forums for “how-to” information, here you’ll find more than 60 recipes that take you through the entire process of creating actionable intelligence from your raw data, no matter what shape or form it’s in. Within the first 30 minutes of opening this book, you’ll learn how to use the latest in Python and NoSQL databases to glean insights from data just waiting to be exploited.We’ll begin with a quick-fire introduction to Python for BI and show you what problems Python solves. From there, we move on to working with a predefined data set to extract data as per business requirements, using the Pandas library and MongoDB as our storage engine.Next, we will analyze data and perform transformations for BI with Python. Through this, you will gather insightful data that will help you make informed decisions for your business. The final part of the book will show you the most important task of BI—visualizing data by building stunning dashboards using Matplotlib, PyTables, and iPython Notebook.

Wireframing Essentials. If you’ve ever wanted to be a User Experience (UX) designer, this book will give you a great head start. It’s a comprehensive handbook to the core principles and leads you through design methodologies with many practical examples

Matthew J. Hamm

Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data

Andrea Janicijevic

Power Query is a data preparation tool that enables data engineers and business users to connect, reshape, enrich, and transform their data to facilitate relevant business insights and analysis. With Power Query's wide range of features, you can perform no-code transformations and complex M code functions at the same time to get the most out of your data.This Power Query book will help you to connect to data sources, achieve intuitive transformations, and get to grips with preparation practices. Starting with a general overview of Power Query and what it can do, the book advances to cover more complex topics such as M code and performance optimization. You'll learn how to extend these capabilities by gradually stepping away from the Power Query GUI and into the M programming language. Additionally, the book also shows you how to use Power Query Online within Power BI Dataflows.By the end of the book, you'll be able to leverage your source data, understand your data better, and enrich it with a full stack of no-code and custom features that you'll learn to design by yourself for your business requirements.

Building an RPG with Unreal 4.x. Get to grips with building the foundations of an RPG using Unreal Engine 4.x

Alan R. Stagner, Steve Santello

Now that Unreal Engine 4 has become one of the most cutting edge game engines in the world, developers are looking for the best ways of creating games of any genre in the engine. This book will lay out the foundation of creating a turn-based RPG in Unreal Engine 4.12. The book starts by walking you through creating a turn-based battle system that can hold commands for party members and enemies. You’ll get your hands dirty by creating NPCs such as shop owners, and important mechanics, that make up every RPG such as a currency system, inventory, dialogue, and character statistics. Although this book specifically focuses on the creation of a turn-based RPG, there are a variety of topics that can be utilized when creating many other types of genres.By the end of the book, you will be able to build upon core RPG framework elements to create your own game experience.

Advanced Natural Language Processing with TensorFlow 2. Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more

Ashish Bansal

Recently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques. The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs. The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2. Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece. By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems.

Learning IPython for Interactive Computing and Data Visualization. Get started with Python for data analysis and numerical computing in the Jupyter not

Cyrille Rossant

Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors.This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data.

Enterprise Application Development with C# 10 and .NET 6. Become a professional .NET developer by learning expert techniques for building scalable applications - Second Edition

Ravindra Akella, Arun Kumar Tamirisa, Suneel Kumar Kunani, Bhupesh Guptha Muthiyalu

Building production-ready enterprise applications can be a challenging task due to the overabundance of tools and their different versions that make app development complex. This book simplifies the process with an end-to-end road map for building enterprise applications from scratch using the latest features of .NET Core 6 and C# 10.Throughout the book, you'll work on creating an enterprise app, adding a key component to the app with each chapter, before ?nally getting it ready for testing and deployment. You'll learn concepts relating to advanced data structures, the Entity Framework Core, parallel programming, and dependency injection. As you progress, you'll cover various authentication and authorization schemes provided by .NET Core to make your apps and APIs secure. The book then shows you how the latest Microsoft Visual Studio and C# 10 help you simplify developer tasks and shares tips and tricks in Visual Studio to improve your productivity. You'll discover various testing techniques, such as unit testing and performance testing, as well as di?erent methods to deploy enterprise apps.By the end of this book, you’ll be able to create enterprise apps using the powerful features of .NET 6 and deploy them to the cloud while working with various cloud components using Azure.