Wydawca: Packt Publishing
Cecil 'Gary' Rupp, Manjit Singh
Scaled Scrum and Lean-Agile practices provide essential strategies to address large and complex product development challenges not addressed in traditional Scrum. This Scrum/ Lean-Agile handbook provides a comprehensive review and analysis of industry-proven scaling strategies that enable business agility on an enterprise scale. Free of marketing hype or vendor bias, this book helps you decide which practices best fit your situation.You'll start with an introduction to Scrum as a lightweight software development framework and then explore common approaches to scaling it for more complex development scenarios. The book will then guide you through systems theory, lean development, and the application of holistic thinking to more complex software and system development activities. Throughout, you'll learn how to support multiple teams working in collaboration to develop large and complex products and explore how to manage cross-team integration, dependency, and synchronization issues. Later, you'll learn how to improve enterprise operational efficiency across value creation and value delivery activities, before discovering how to align product portfolio investments with corporate strategies.By the end of this Scrum book, you and your product teams will be able to get the most value out of Agile at scale, even in complex cyber-physical system development environments.
Scientific Computing with Python 3. Click here to enter text
Claus Führer, Jan Erik Solem, Olivier Verdier
Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.
Claus Führer, Jan Erik Solem, Olivier Verdier
Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.
Vytautas Jancauskas
Scala is a statically typed, Java Virtual Machine (JVM)-based language with strong support for functional programming. There exist libraries for Scala that cover a range of common scientific computing tasks – from linear algebra and numerical algorithms to convenient and safe parallelization to powerful plotting facilities. Learning to use these to perform common scientific tasks will allow you to write programs that are both fast and easy to write and maintain.We will start by discussing the advantages of using Scala over other scientific computing platforms. You will discover Scala packages that provide the functionality you have come to expect when writing scientific software. We will explore using Scala's Breeze library for linear algebra, optimization, and signal processing. We will then proceed to the Saddle library for data analysis. If you have experience in R or with Python's popular pandas library you will learn how to translate those skills to Saddle. If you are new to data analysis, you will learn basic concepts of Saddle as well. Well will explore the numerical computing environment called ScalaLab. It comes bundled with a lot of scientific software readily available. We will use it for interactive computing, data analysis, and visualization. In the following chapters, we will explore using Scala's powerful parallel collections for safe and convenient parallel programming. Topics such as the Akka concurrency framework will be covered. Finally, you will learn about multivariate data visualization and how to produce professional-looking plots in Scala easily. After reading the book, you should have more than enough information on how to start using Scala as your scientific computing platform
Julian Avila, Trent Hauck
Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. This book includes walk throughs and solutions to the common as well as the not-so-common problems in machine learning, and how scikit-learn can be leveraged to perform various machine learning tasks effectively.The second edition begins with taking you through recipes on evaluating the statistical properties of data and generates synthetic data for machine learning modelling. As you progress through the chapters, you will comes across recipes that will teach you to implement techniques like data pre-processing, linear regression, logistic regression, K-NN, Naïve Bayes, classification, decision trees, Ensembles and much more. Furthermore, you’ll learn to optimize your models with multi-class classification, cross validation, model evaluation and dive deeper in to implementing deep learning with scikit-learn. Along with covering the enhanced features on model section, API and new features like classifiers, regressors and estimators the book also contains recipes on evaluating and fine-tuning the performance of your model. By the end of this book, you will have explored plethora of features offered by scikit-learn for Python to solve any machine learning problem you come across.
John Sukup
Trusted by data scientists, ML engineers, and software developers alike, scikit-learn offers a versatile, user-friendly framework for implementing a wide range of ML algorithms, enabling the efficient development and deployment of predictive models in real-world applications. This third edition of scikit-learn Cookbook will help you master ML with real-world examples and scikit-learn 1.5 features.This updated edition takes you on a journey from understanding the fundamentals of ML and data preprocessing, through implementing advanced algorithms and techniques, to deploying and optimizing ML models in production. Along the way, you’ll explore practical, step-by-step recipes that cover everything from feature engineering and model selection to hyperparameter tuning and model evaluation, all using scikit-learn.By the end of this book, you’ll have gained the knowledge and skills needed to confidently build, evaluate, and deploy sophisticated ML models using scikit-learn, ready to tackle a wide range of data-driven challenges.*Email sign-up and proof of purchase required
Guillermo Moncecchi, Raul G Tompson, Trent Hauck,...
Machine learning, the art of creating applications that learn from experience and data, has been around for many years. Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility; moreover, within the Python data space, scikit-learn is the unequivocal choice for machine learning. The course combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems. The course starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets. You will learn to incorporate machine learning in your applications. Ranging from handwritten digit recognition to document classification, examples are solved step-by-step using scikit-learn and Python. By the end of this course you will have learned how to build applications that learn from experience, by applying the main concepts and techniques of machine learning.
Luiz Felipe Martins, V Kishore Ayyadevara, Ruben...
With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease.This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide.
Prof. Chris Piorkowski, David K. Schmal, Luciano...
This book will help you leverage the Logic Pro digital audio workstation (DAW) for scoring to picture. With the help of expert insights from a Hollywood film composer, you'll understand how the film music industry works and be ready to meet the demands of film directors or producers, exploring common scenarios and the process of post-production and final film score delivery. Packed with all the technical and practical skills needed when scoring to picture in Logic Pro, along with insights into real film scoring tasks, this book will prepare you for success in the industry.You’ll start by getting acquainted with film scoring terminology and then advance to working with QuickTime video and its components, getting an overview of how to set up and sync a movie file in Logic Pro. You’ll see the different methods of creating tempo maps, find a suitable tempo for a film scene using hit points and scene markers, and work with time signature and beat mapping functions. You’ll also work with a pre-composed score of a Mercedes commercial that you can analyze and emulate in your own Logic Pro session.By the end of this book, you’ll have gained new skills and the knowledge of commonly used industry scenarios to help you enter the professional market of scoring to picture.
Michael Badger, Lifelong Kindergarten Group
If you have the imaginative power to design complex multimedia projects but can't adapt to programming languages, then Scratch 1.4: Beginner's Guide is the book for you. Imagine how good you'll feel when you drag-and-drop your way to interactive games, stories, graphic artwork, computer animations, and much more using Scratch even if you have never programmed before.This book provides teachers, parents, and new programmers with a guided tour of Scratch's features by creating projects that can be shared, remixed, and improved upon in your own lesson plans. Soon you will be creating games, stories, and animations by snapping blocks of code together.When you program you solve problems. In order to solve problems, you think, take action, and reflect upon your efforts. Scratch teaches you to program using a fun, accessible environment that's as easy as dragging and dropping blocks from one part of the screen to another.In this book you will program games, stories, and animations using hands-on examples that get you thinking and tinkering. For each project, you start with a series of steps to build something. Then you pause to put our actions into context so that you can relate our code to the actions on Scratch's stage. Throughout each chapter, you'll encounter challenges that encourage you to experiment and learn.One of the things you're really going to love is that, as you begin working through the examples in the book, you won't be able to stop your imagination and the ideas will stream as fast as you can think of them. Write them down. You'll quickly realize there are a lot of young minds in your home, classroom, or community group that could benefit from Scratch's friendly face. Teach them, please.
Brandon Milonovich
Scratch 2.0 is an easy to use programming language that allows you to animate stories and create interactive games. Scratch also gives you the capability of using programming to calculate complicated calculations for you.Scratch Cookbook will lead you through easy-to-follow recipes that give you everything you need to become a more advanced programmer.Scratch Cookbook will take you through the essential features of Scratch. You'll then work through simple recipes to gain an understanding of the more advanced features of Scratch.You will learn how to create animations using Scratch. Sensory board integration (getting input from the outside environment) will also be covered, along with using Scratch to solve complicated and tedious calculations for you. You'll also learn how to work through the exciting process of project remixing where you build on the work of others.Scratch Cookbook will give you everything you need to get started with building your own programs in Scratch that involve sounds, animations, and user interaction.
Cedric Gemy, Christoph Schafer
Scribus is an Open Source program that brings award-winning and inexpensive professional page layout to desktop computers with a combination of press-ready output and new approaches to page layout. Creating professional-looking documents using Scribus is not a cakewalk, especially with so many features at your disposal, it’s hard to know where to get started! Scribus Beginners guide walks users step by step through common projects, such as creating a brochure,newsletter, business cards and so on. It also includes guidelines on starting a web newsletter and online PDF (Adobe Acrobat format) newsletter along with basic scripting to extend Scribus as per your requirements. This book begins with the simplest tasks and brings you progressively to adapt your workflow to the most efficient tools. It commences with the description of the graphic tool chain and an overall chapter on how to draw a simple and attractive business card. You'll then see how to manage the pages of your document and organized their structure thanks to guides. Then being invited to fill them with text, you'll be able to import, set text style as well as use replacement and hyphenation tool. Pictures or vector drawing will be added to the documents too. You'll be taught to choose the best format at the best time, modify or distort the shapes to get very custom documents. You will also learn how Scribus handles advanced color features such as transparencies, overprinting, spot colors precisely and be sure they are set well for a print result without bad surprise. At the end, you'll know to produce a perfect PDF file, be it for print jobs or web with effects, buttons and javascript interactivity, extend the document capacities as well as Scribus tools with simple programming especially with the python language.
Lukas Kutschera
Embark on a creative journey with ZBrush, the leading software for creating characters, creatures, and props in films, games, and 3D printing. This guide will take you through its powerful yet user-friendly workflows, allowing you to explore its dynamic organic sculpting, painting, and hard-surface modeling tools.The first part of this book is dedicated to helping you become familiar with ZBrush’s user interface and learning the very basics, from sculpting brushes and painting the model with Polypaint to setting up lights and rendering images. You’ll also create a demon bust with the help of ZBrush’s concept sculpting tool, DynaMesh. In the second part, you’ll get to grips with the creation of a humanoid character that is optimized for 3D printing. Focusing on anatomy, poly-modeling, and preparing the model for 3D printing, you’ll acquire the skills essential for sculptors. The final part delves into portrait sculpting, where you’ll learn everything from basic facial anatomy to hair creation with FiberMesh.By the end of this book, you'll have developed the expertise necessary to succeed in the ever-evolving world of 3D character modeling, complemented by portfolio and social media tips for showcasing your standout work.
Xury Greer
Sculpting the Blender Way is a detailed step-by-step guide for creating digital art with the latest Blender 3D sculpting features. With over 400 reference images, 18 Sculpting in Action videos, and dozens of 3D sculpture example files, this book is an invaluable resource for traditional and digital sculptors looking to try their hand at sculpting in Blender.The first part of the book will teach you how to navigate Blender's user interface and familiarize yourself with the core workflows, as well as gain an understanding of how the sculpting features work, including basic sculpting, Dyntopo, the Voxel Remesher, QuadriFlow, and Multiresolution.You’ll also learn about a wide range of brushes and all of the latest additions to the sculpting feature set, such as Face Sets, Mesh Filters, and the Cloth brush. The next chapters will show you how to customize these brushes and features to create fantastic 3D sculptures that you can share with the ever-growing Blender community.By the end of this book, you'll have gained a complete understanding of the core sculpting workflows and be able to use Blender to bring your digital characters to life.
Shaun Mitchell
SDL 2.0 is the latest release of the popular Simple DirectMedia Layer API, which is designed to make life easier for C++ developers, allowing you simple low-level access to various multiplatform audio, graphics, and input devices.SDL Game Development guides you through creating your first 2D game using SDL and C++. It takes a clear and practical approach to SDL game development, ensuring that the focus remains on creating awesome games.Starting with the installation and setup of SDL, you will quickly become familiar with useful SDL features, covering sprites, state management, and OOP, leading to a reusable framework that is extendable for your own games. SDL Game Development culminates in the development of two exciting action games that utilize the created framework along with tips to improve the framework.
Cody Jackson, Steven F. Lott
This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries.You’ll unearth secrets related to the implementation of the standard library, by looking at how modules actually work. You’ll understand the implementation of collections, decimals, and fraction modules. If you haven’t used decorators, coroutines, and generator functions much before, as you make your way through the recipes, you’ll learn what you’ve been missing out on. We’ll cover internal special methods in detail, so you understand what they are and how they can be used to improve the engineering decisions you make. Next, you’ll explore the CPython interpreter, which is a treasure trove of secret hacks that not many programmers are aware of. We’ll take you through the depths of the PyPy project, where you’ll come across several exciting ways that you can improve speed and concurrency. Finally, we’ll take time to explore the PEPs of the latest versions to discover some interesting hacks.
Giovanni Galloro, Nathaniel Avery, David Dorbin
Continuous delivery, a cornerstone of modern software engineering, facilitates quick and secure software delivery using a robust toolkit encompassing automated builds, testing, source code management, artifact storage, and deployment. Whether you integrate tools from different providers or use a set of managed services from a single cloud provider, the goal is to streamline setup, integration, and management. This book focuses on continuous delivery on the Google Cloud.Starting with an introduction to continuous delivery and secure software supply chain concepts, this book uses hands-on exercises to demonstrate how to continuously test your application with Skaffold and Cloud Code, leverage Duet AI-assisted code generation with Cloud Code and Cloud Workstations, and automate your continuous integration with Cloud Build. You'll see how to store and scan your software artifacts on Artifact Registry, orchestrate deployments with Cloud Deploy, and release your software on GKE and Cloud Run, configured to admit only trusted code. Using an example application, you'll implement tools for creating an end-to-end delivery pipeline on the Google Cloud Platform.By the end of this book, you'll be able to build a secure software delivery pipeline from development to production using the Google Cloud managed services and best practices.
Alessandro Parisi
Blockchain adoption has extended from niche research to everyday usage. However, despite the blockchain revolution, one of the key challenges faced in blockchain development is maintaining security, and this book will demonstrate the techniques for doing this.You’ll start with blockchain basics and explore various blockchain attacks on user wallets, and denial of service and pool mining attacks. Next, you’ll learn cryptography concepts, consensus algorithms in blockchain security, and design principles while understanding and deploying security implementation guidelines. You’ll not only cover architectural considerations, but also work on system and network security and operational configurations for your Ethereum and Hyperledger Fabric network. You’ll later implement security at each level of blockchain app development, understanding how to secure various phases of a blockchain app using an example-based approach. You’ll gradually learn to securely implement and develop decentralized apps, and follow deployment best practices. Finally, you’ll explore the architectural components of Hyperledger Fabric, and how they can be configured to build secure private blockchain networks.By the end of this book, you’ll have learned blockchain security concepts and techniques that you can implement in real blockchain production environments.
Dominiek Verham, Johan Vanneuville, Christiaan Brinkhoff, Scott...
Do you want to effectively implement and maintain secure virtualized systems? This book will give you a comprehensive understanding of Microsoft virtual endpoints, from the fundamentals of Windows 365 and Azure Virtual Desktop to advanced security measures, enabling you to secure, manage, and optimize virtualized environments in line with contemporary cybersecurity challenges.You’ll start with an introduction to Microsoft technologies, gaining a foundational understanding of their capabilities. Next, you’ll delve into the importance of endpoint security, addressing the challenges faced by companies in safeguarding their digital perimeters. This book serves as a practical guide to securing virtual endpoints, covering topics such as network access, data leakage prevention, update management, threat detection, and access control configuration. As you progress, the book offers insights into the nuanced security measures required for Windows 365, Azure Virtual Desktop, and the broader Microsoft Azure infrastructure. The book concludes with real-world use cases, providing practical scenarios for deploying Windows 365 and Azure Virtual Desktop.By the end of this book, you’ll be equipped with practical skills for implementing and evaluating robust endpoint security strategies.
Securing Hadoop. Implement robust end-to-end security for your Hadoop ecosystem
Sudheesh Narayan
Security of Big Data is one of the biggest concerns for enterprises today. How do we protect the sensitive information in a Hadoop ecosystem? How can we integrate Hadoop security with existing enterprise security systems? What are the challenges in securing Hadoop and its ecosystem? These are the questions which need to be answered in order to ensure effective management of Big Data. Hadoop, along with Kerberos, provides security features which enable Big Data management and which keep data secure.This book is a practitioner's guide for securing a Hadoop-based Big Data platform. This book provides you with a step-by-step approach to implementing end-to-end security along with a solid foundation of knowledge of the Hadoop and Kerberos security models.This practical, hands-on guide looks at the security challenges involved in securing sensitive data in a Hadoop-based Big Data platform and also covers the Security Reference Architecture for securing Big Data. It will take you through the internals of the Hadoop and Kerberos security models and will provide detailed implementation steps for securing Hadoop. You will also learn how the internals of the Hadoop security model are implemented, how to integrate Enterprise Security Systems with Hadoop security, and how you can manage and control user access to a Hadoop ecosystem seamlessly. You will also get acquainted with implementing audit logging and security incident monitoring within a Big Data platform.