Hands-On Parallel Programming with C# 8 and .NET Core 3. Build solid enterprise software using task parallelism and multithreading

Shakti Tanwar

In today’s world, every CPU has a multi-core processor. However, unless your application has implemented parallel programming, it will fail to utilize the hardware’s full processing capacity. This book will show you how to write modern software on the optimized and high-performing .NET Core 3 framework using C# 8.Hands-On Parallel Programming with C# 8 and .NET Core 3 covers how to build multithreaded, concurrent, and optimized applications that harness the power of multi-core processors. Once you’ve understood the fundamentals of threading and concurrency, you’ll gain insights into the data structure in .NET Core that supports parallelism. The book will then help you perform asynchronous programming in C# and diagnose and debug parallel code effectively. You’ll also get to grips with the new Kestrel server and understand the difference between the IIS and Kestrel operating models. Finally, you’ll learn best practices such as test-driven development, and run unit tests on your parallel code.By the end of the book, you’ll have developed a deep understanding of the core concepts of concurrency and asynchrony to create responsive applications that are not CPU-intensive.

Bioinformatics with Python Cookbook. Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology - Second Edition

Tiago Antao

Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data.This book covers next-generation sequencing, genomics, metagenomics, population genetics, phylogenetics, and proteomics. You'll learn modern programming techniques to analyze large amounts of biological data. With the help of real-world examples, you'll convert, analyze, and visualize datasets using various Python tools and libraries.This book will help you get a better understanding of working with a Galaxy server, which is the most widely used bioinformatics web-based pipeline system. This updated edition also includes advanced next-generation sequencing filtering techniques. You'll also explore topics such as SNP discovery using statistical approaches under high-performance computing frameworks such as Dask and Spark.By the end of this book, you'll be able to use and implement modern programming techniques and frameworks to deal with the ever-increasing deluge of bioinformatics data.

Raspberry Pi: Amazing Projects from Scratch. Click here to enter text

Ashwin Pajankar, Richard Grimmett, Matthew Poole, Arush Kakkar

Looking for inspiration for your next Raspberry Pi project? Not sure where to begin? This Learning Path is the perfect place to begin, providing you with an accessible yet comprehensive journey through Raspberry Pi. Following three modules, you’ll soon be confident and prepared to get creative with your microcomputer. Raspberry Pi by Example is the first module in this Learning Path – and it does exactly what it says. It doesn’t just teach, it shows you how to go and build some awesome Raspberry Pi projects immediately. Build and play your own games with the Pi, build a complete Internet of Things home automation system that controls your house through Twitter… let your imagination run wild!In the next module we’ll look in more depth at building a home security system. You’ll be using some of the skills you devoped through the first module, but apply them to something more intricate and impressive. Using a Linux based operating system as the foundations, you’ll gradually build up an entire security infrastructure adding cameras, remote controls, and even intrusion alerts!In the final module, we’ll take you into the world of Raspberry Pi robotics. By the end of it, you’ll have built a biped robot that can interact with its environment!This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Raspberry Pi By Example by Ashwin Pajankar and Arush Kakkar? Building a Home Security System with Raspberry Pi by Matthew Pole? Raspberry Pi Robotics Essentials by Richard Grimmett

Exploring Microsoft Excel's Hidden Treasures. Turbocharge your Excel proficiency with expert tips, automation techniques, and overlooked features

David Ringstrom

David Ringstrom coined the phrase “Either you work Excel, or it works you!” after observing how many users carry out tasks inefficiently.In this book, you’ll learn how to get more done with less effort. This book will enable you to create resilient spreadsheets that are easy for others to use as well, while incorporating spreadsheet disaster preparedness techniques. The time-saving techniques covered in the book include creating custom shortcuts and icons to streamline repetitive tasks, as well as automating them with features such as Tables and Custom Views. You’ll see how Conditional Formatting enables you to apply colors, Cell icons, and other formatting on-demand as your data changes. You’ll be empowered to protect the integrity of spreadsheets and increase usability by implementing internal controls, and understand how to solve problems with What-If Analysis features. In addition, you’ll master new features and functions such as XLOOKUP, Dynamic Array functions, LET and LAMBDA, and Power Query, while learning how to leverage shortcuts and nuances in Excel.By the end of this book, you’ll have a broader awareness of how to avoid pitfalls in Excel. You’ll be empowered to work more effectively in Excel, having gained a deeper understanding of the frustrating oddities that can arise daily in Excel.

Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition

Tanmay Deshpande

Big data is the current requirement. Most organizations produce huge amount of data every day. With the arrival of Hadoop-like tools, it has become easier for everyone to solve big data problems with great efficiency and at minimal cost. Grasping Machine Learning techniques will help you greatly in building predictive models and using this data to make the right decisions for your organization. Hadoop Real World Solutions Cookbook gives readers insights into learning and mastering big data via recipes. The book not only clarifies most big data tools in the market but also provides best practices for using them. The book provides recipes that are based on the latest versions of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout and many more such ecosystem tools. This real-world-solution cookbook is packed with handy recipes you can apply to your own everyday issues. Each chapter provides in-depth recipes that can be referenced easily. This book provides detailed practices on the latest technologies such as YARN and Apache Spark. Readers will be able to consider themselves as big data experts on completion of this book. This guide is an invaluable tutorial if you are planning to implement a big data warehouse for your business.

Threat Modeling Gameplay with EoP. A reference manual for spotting threats in software architecture

Brett Crawley, Adam Shostack

Are you looking to navigate security risks, but want to make your learning experience fun? Here's a comprehensive guide that introduces the concept of play to protect, helping you discover the threats that could affect your software design via gameplay.Each chapter in this book covers a suit in the Elevation of Privilege (EoP) card deck (a threat category), providing example threats, references, and suggested mitigations for each card. You’ll explore the methodology for threat modeling—Spoofing, Tampering, Repudiation, Information Disclosure, and Elevation of Privilege (S.T.R.I.D.E.) with Privacy deck and the T.R.I.M. extension pack. T.R.I.M. is a framework for privacy that stands for Transfer, Retention/Removal, Inference, and Minimization. Throughout the book, you’ll learn the meanings of these terms and how they should be applied. From spotting vulnerabilities to implementing practical solutions, the chapters provide actionable strategies for fortifying the security of software systems.By the end of this book, you will be able to recognize threats, understand privacy regulations, access references for further exploration, and get familiarized with techniques to protect against these threats and minimize risks.

The Official Guide to Mermaid.js. Create complex diagrams and beautiful flowcharts easily using text and code

Knut Sveidqvist, Ashish Jain

Mermaid is a JavaScript-based charting and diagramming tool that lets you represent diagrams using text and code, which simplifies the maintenance of complex diagrams. This is a great option for developers as they’re more familiar with code, rather than using special tools for generating diagrams. Besides, diagrams in code simplify maintenance and ensure that the code is supported by version control systems. In some cases, Mermaid makes refactoring support for name changes possible while also enabling team collaboration for review distribution and updates.Developers working with any system will be able to put their knowledge to work with this practical guide to using Mermaid for documentation. The book is also a great reference for looking up the syntax for specific diagrams when authoring diagrams.You’ll start by learning the importance of accurate and visual documentation. Next, the book introduces Mermaid and establishes how to use it to create effective documentation. By using different tools, editors, or a custom documentation platform, you’ll also understand how to use Mermaid syntax for various diagrams. Later chapters cover advanced configuration settings and theme options to manipulate your diagram as per your needs.By the end of this book, you’ll be well-versed with Mermaid diagrams and how they can be used in your workflows.

Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

Manoj Kukreja, Danil Zburivsky

In the world of ever-changing data and schemas, it is important to build data pipelines that can auto-adjust to changes. This book will help you build scalable data platforms that managers, data scientists, and data analysts can rely on.Starting with an introduction to data engineering, along with its key concepts and architectures, this book will show you how to use Microsoft Azure Cloud services effectively for data engineering. You'll cover data lake design patterns and the different stages through which the data needs to flow in a typical data lake. Once you've explored the main features of Delta Lake to build data lakes with fast performance and governance in mind, you'll advance to implementing the lambda architecture using Delta Lake. Packed with practical examples and code snippets, this book takes you through real-world examples based on production scenarios faced by the author in his 10 years of experience working with big data. Finally, you'll cover data lake deployment strategies that play an important role in provisioning the cloud resources and deploying the data pipelines in a repeatable and continuous way.By the end of this data engineering book, you'll know how to effectively deal with ever-changing data and create scalable data pipelines to streamline data science, ML, and artificial intelligence (AI) tasks.