Hands-On Software Architecture with GolangBuilding software requires careful planning and architectural considerations; Golang was developed with a fresh perspective on building next-generation applications on the cloud with distributed and concurrent computing concerns.
Hands-On Software Architecture with Golang starts with a brief introduction to architectural elements, Go, and a case study to demonstrate architectural principles. You'll then move on to look at code-level aspects such as modularity, class design, and constructs specific to Golang and implementation of design patterns. As you make your way through the chapters, you'll explore the core objectives of architecture such as effectively managing complexity, scalability, and reliability of software systems. You'll also work through creating distributed systems and their communication before moving on to modeling and scaling of data. In the concluding chapters, you'll learn to deploy architectures and plan the migration of applications from other languages.
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Version Control with Git and GitHubIntroduction to Git and GitHub begins with setting up and configuring Git on your computer along with creating a repository and using it for exercises throughout the book. With the help of multiple activities, you'll learn concepts that show various stages of a file—from when it is untracked to when it is set for tracking under version control. As you make your way through the chapters, you'll learn to navigate through the history of a repository, fetch and deliver code to GitHub, and undo code changes.
The first half of the book ends with you learning to work with branches, storing and retrieving changes temporarily, and merging the desired changes into a repository.
In the second half, you'll learn about forking as part of a collaborative workflow. You'll also address modularity and duplication through submodules, tracing and rectifying faulty changes, and maintaining repositories.
By the end of this book, you will have learned how to effectively deploy applications using ...
Developing Games on the Raspberry PiLearn to set up a Pi-based game development environment, and then develop a game with Lua, a popular scripting language used in major game frameworks like Unreal Engine (BioShock Infinite), CryEngine (Far Cry series), Diesel (Payday: The Heist), Silent Storm Engine (Heroes of Might and Magic V) and many others. More importantly, learn how to dig deeper into programming languages to find and understand new functions, frameworks, and languages to utilize in your games.
You'll start by learning your way around the Raspberry Pi. Then you'll quickly dive into learning game development with an industry-standard and scalable language. After reading this book, you'll have the ability to write your own games on a Raspberry Pi, and deliver those games to Linux, Mac, Windows, iOS, and Android. And you'll learn how to publish your games to popular marketplaces for those desktop and mobile platforms.
Whether you're new to programming or whether you've already published to markets like Itch.io ...
BizTalk Server 2016Gain an in depth view of optimizing the performance of BizTalk Server. This book provides best practices and techniques for improving development of high mission critical solutions. You'll see how the BizTalk Server engine works and how to proactively detect and remedy potential bottlenecks before they occur.
The book starts with an overview of the BizTalk Server internal mechanisms that will help you understand the optimizations detailed throughout the book. You'll then see how the mechanisms can be applied to a BizTalk Server environment to improve low and high latency throughput scenarios. A section on testing BizTalk server solutions will guide you through the most frequently adopted techniques used to develop solutions such as performance and unit testing as part of the development cycle.
With BizTalk Server 2016 you'll see how to apply side-by-side versioning to your solutions to reduce the chances of downtime, You'll also review instrumentation techniques using Event Trace ...
Python Continuous Integration and DeliveryGain the techniques and tools that enable a smooth and efficient software development process in this quick and practical guide on Python continuous integration (CI) and continuous delivery (CD). Based on example applications, this book introduces various kinds of testing and shows you how to set up automated systems that run these tests, and install applications in different environments in controlled ways. Python Continuous Integration and Delivery tackles the technical problems related to software development that are typically glossed over in pure programming texts.
After reading this book, you'll see that in today's fast-moving world, no software project can afford to go through development, then an integration phase of unpredictable length and complexity, and finally be shipped to the customer - just to find out that the resulting application didn't quite fill their need. Instead, you'll discover that practicing continuous integration and continuous delivery reduces the risks ...
Numerical Python, 2nd EditionLeverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more.
Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis.
After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O ...
Foundations of PyGTK Development, 2nd EditionLearn how to develop portable GUI programs to run on multiple operating systems. Revised and updated from the popular original, with a full set of new examples in Python and using PyGTK, this book provides all the information you'll need to write easy or complex GUI applications, offering one source of knowledge and best practices for user interface creation.
Foundations of PyGTK Development presents numerous real-life examples that you can immediately put to use in your own applications. It begins with an overview of key topics such as widget choice, placement, and behavior, before moving on to more advanced issues. Building on your familiarity with Python, the book delves into new topics such as object inheritance early on to allow for a complete understanding of code examples later.
Work with layout containers including boxes, tables, grid, and panes; Use the Application and ApplicationWindow classes as the base for your PyGTK application; Manage dialogs to give general infor ...
Developing Data Migrations and Integrations with SalesforceMigrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a "go-to" place for all your organization's customer information.
When companies choose to roll out Salesforce, users expect it to be the place to find any and all Information related to a customer - the coveted Client 360° view. On the day you go live, users expect to see all their accounts, contacts, and historical data in the system. They also expect that data entered in other systems will be exposed in Salesforce automatically and in a timely manner.
This book shows you how to migrate all your legacy data to Salesforce and then design integrations to your organization's mission-critical systems. As the Salesforce platform grows more powerful, it also grows in complexity. Whether you are migrating data to Salesforce, or integrating with Salesforce, it is important to understand how these complexities need to be reflected in your design. ...
Numerical Computing with PythonData mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining.
You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models. ...
Microsoft Power BI Complete ReferenceMicrosoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life.
In this Learning Path, you will learn to create powerful interactive reports by visualizing your data and learn visualization styles, tips and tricks to bring your data to life. You will be able to administer your organization's Power BI environment to create and share dashboards. You will also be able to streamline deployment by implementing security and regular data refreshes.
Next, you will delve deeper into the nuances of Power BI and handling projects. You will get acquainted with planning a Power BI project, development, and distribution of content, and deployment. You will learn to connect and extract data from various sources to create robust datasets, reports, and dashboards. Additionally, you will learn how to format reports ...