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Podcasty
Mastering C# and .NET Framework. .NET Under the hood
Mastering C# and .NET Framework will take you in to the depths of C# 6.0/7.0 and .NET 4.6, so you can understand how the platform works when it runs your code, and how you can use this knowledge to write efficient applications. Take full advantage of the new revolution in .NET development, including open source status and cross-platform capability, and get to grips with the architectural changes of CoreCLR.Start with how the CLR executes code, and discover the niche and advanced aspects of C# programming – from delegates and generics, through to asynchronous programming. Run through new forms of type declarations and assignments, source code callers, static using syntax, auto-property initializers, dictionary initializers, null conditional operators, and many others. Then unlock the true potential of the .NET platform. Learn how to write OWASP-compliant applications, how to properly implement design patterns in C#, and how to follow the general SOLID principles and its implementations in C# code.We finish by focusing on tips and tricks that you'll need to get the most from C# and .NET.This book also covers .NET Core 1.1 concepts as per the latest RTM release in the last chapter.
Functional programming is a programming paradigm that uses functions for developing software. This book is filled with examples that enable you to leverage the latest JavaScript and TypeScript versions to produce modern and clean code, as well as teach you to how apply functional programming techniques to develop more efficient algorithms, write more concise code, and simplify unit testing.This book provides comprehensive coverage of the major topics in functional programming to produce shorter, clearer, and testable programs. You’ll begin by getting to grips with writing and testing pure functions, reducing side effects, as well as other key features to make your applications functional in nature. The book specifically explores techniques to simplify coding, apply recursion, perform high-level coding, learn ways to achieve immutability, implement design patterns, and work with data types.By the end of this book, you’ll have developed the practical programming skills needed to confidently enhance your applications by adding functional programming to wherever it’s most suitable.
Wireless has become ubiquitous in today’s world. The mobility and flexibility provided by it makes our lives more comfortable and productive. But this comes at a cost – Wireless technologies are inherently insecure and can be easily broken. BackTrack is a penetration testing and security auditing distribution that comes with a myriad of wireless networking tools used to simulate network attacks and detect security loopholes. Backtrack 5 Wireless Penetration Testing Beginner’s Guide will take you through the journey of becoming a Wireless hacker. You will learn various wireless testing methodologies taught using live examples, which you will implement throughout this book. The engaging practical sessions very gradually grow in complexity giving you enough time to ramp up before you get to advanced wireless attacks.This book will take you through the basic concepts in Wireless and creating a lab environment for your experiments to the business of different lab sessions in wireless security basics, slowly turn on the heat and move to more complicated scenarios, and finally end your journey by conducting bleeding edge wireless attacks in your lab.There are many interesting and new things that you will learn in this book – War Driving, WLAN packet sniffing, Network Scanning, Circumventing hidden SSIDs and MAC filters, bypassing Shared Authentication, Cracking WEP and WPA/WPA2 encryption, Access Point MAC spoofing, Rogue Devices, Evil Twins, Denial of Service attacks, Viral SSIDs, Honeypot and Hotspot attacks, Caffe Latte WEP Attack, Man-in-the-Middle attacks, Evading Wireless Intrusion Prevention systems and a bunch of other cutting edge wireless attacks.If you were ever curious about what wireless security and hacking was all about, then this book will get you started by providing you with the knowledge and practical know-how to become a wireless hacker.
Shankar Narayanan SGS, Vivekanandan SS, Jeff Hollan
Snowpark is a powerful framework that helps you unlock numerous possibilities within the Snowflake Data Cloud. However, without proper guidance, leveraging the full potential of Snowpark with Python can be challenging. Packed with practical examples and code snippets, this book will be your go-to guide to using Snowpark with Python successfully.The Ultimate Guide to Snowpark helps you develop an understanding of Snowflake Snowpark and how it enables you to implement workloads in data engineering, data science, and data applications within the Data Cloud. From configuration and coding styles to workloads such as data manipulation, collection, preparation, transformation, aggregation, and analysis, this guide will equip you with the right knowledge to make the most of this framework. You'll discover how to build, test, and deploy data pipelines and data science models. As you progress, you’ll deploy data applications natively in Snowflake and operate large language models (LLMs) using Snowpark container services.By the end of this book, you'll be able to leverage Snowpark's capabilities and propel your career as a Snowflake developer to new heights.
Strategic Leadership in Responsive Web Design is an essential guide that will equip you with the knowledge and foresight needed to navigate the ever-evolving digital landscape.You’ll start by learning about the strategic importance of responsive web design (RWD) before delving into its intricacies. As you progress, you’ll not only discover the technical aspects of adaptive design, but also learn how to seamlessly integrate these principles within your organization’s business objectives. You’ll develop the skills required to integrate RWD principles into broader business goals. Next, you’ll learn how to navigate SEO in modern times while ensuring platforms are consistent in design across devices. Later, this book shows you how to measure the ROI when making RWD decisions, and how to ensure you’re making the right one.By the end of this book, you’ll have understood the role that RWD plays in achieving broad business objectives.
Deep learning is one of the most popular domains in the AI space that allows you to develop multi-layered models of varying complexities. This book introduces you to popular deep learning algorithms—from basic to advanced—and shows you how to implement them from scratch using TensorFlow. Throughout the book, you will gain insights into each algorithm, the mathematical principles involved, and how to implement it in the best possible manner. The book starts by explaining how you can build your own neural networks, followed by introducing you to TensorFlow, the powerful Python-based library for machine learning and deep learning. Moving on, you will get up to speed with gradient descent variants, such as NAG, AMSGrad, AdaDelta, Adam, and Nadam. The book will then provide you with insights into recurrent neural networks (RNNs) and LSTM and how to generate song lyrics with RNN. Next, you will master the math necessary to work with convolutional and capsule networks, widely used for image recognition tasks. You will also learn how machines understand the semantics of words and documents using CBOW, skip-gram, and PV-DM. Finally, you will explore GANs, including InfoGAN and LSGAN, and autoencoders, such as contractive autoencoders and VAE. By the end of this book, you will be equipped with all the skills you need to implement deep learning in your own projects.
Colman Carpenter, David Duffett, Ian Plain, Nik Middleton, ...
Asterisk is the leading Open Source Telephony application and PBX software solution. It represents an effective, easy-to-administer, and accessible platform for running enterprise telephony requirements. The real world, however, offers numerous hurdles when running Asterisk in the commercial environment including call routing, resilience, or integrating Asterisk with other systems. This book will show you some of the ways to overcome these problems.As the follow-up to Packt's highly successful 2005 title Building Telephony Systems with Asterisk, this book presents the collected wisdom of Asterisk Professionals in the commercial environment.Aimed at Administrators and Asterisk Consultants who are comfortable with the basics of Asterisk operation and installation, this book covers numerous hands-on topics such as Call Routing, Network Considerations, Scalability, and Resilience ñ all the while providing practical solutions and suggestions. It also covers more business-related areas like Billing Solutions and a Winning Sales Technique. Even if your interest or experience with Asterisk is lower level, this book will provide a deeper understanding of how Asterisk operates in the real world.Asterisk is deployed across countless enterprises globally. Running on Linux, it has constantly demonstrated its resilience, stability, and scalability and is now the advanced communication solution of choice to many organizations and consultants.With a foreword from Mark Spencer, the man behind Asterisk, this book presents the accumulated wisdom of three leading Asterisk Consultants and shows the reader how to get the most out of Asterisk in the commercial environment. Over the course of eleven chapters, this book introduces the reader to topics as diverse as Advanced Dial Plans, Network Considerations, and Call Routing, through to Localization, DAHDI, Speech Technology, and Working with a GUI. The book also covers the more nebulous aspects of being an Asterisk professional such as evaluating customer requirements and pitching for contracts.This book represents the wisdom and thoughts of front line consultants. The knowledge they impart will prove informative, thought provoking and be of lasting interest to Asterisk professionals.
Odata (Open Data Protocol) is a Web protocol for querying and updating data that provides a way to unlock your data and free it from silos that exist in applications today. OData enables data access among a variety of applications, services, and stores by adopting existing Web technologies such as HTTP, XML, and JSON. This book deals with common OData programming cases over the Microsoft .NET Framework platform and eases the learning curve for a .NET developer to start incorporating OData in data service development.This book provides a collection of recipes that help .NET developers to get familiar with OData programming in a quick and efficient manner. The recipes cover most OData features from the former ADO.NET Data Service to the current WCF Data Service platform. In addition, all the sample cases here are based on real-world scenarios and issues that .NET developers might come across when programming with OData in application development.This book will be your handy guide with basic to advanced walkthroughs of common OData programming cases for the Microsoft .NET Framework platform. You will learn quick solutions to necessary tasks to integrate the power of OData at both server-side and client-side.This book will help you master the use of OData with .NET Framework by taking you through hands-on and practical recipes. It starts by talking about the common means for building OData services and consuming OData services in client applications. Then, some more specific topics like hosting, configuration and security are discussed. The book also covers many popular and interesting topics such as integrating OData in web applications, and developing data-driven mobile applications with OData. Moreover, you can also find quite a few recipes discussing real-world OData producers and new features in latest and future versions.Within OData Programming Cookbook for .NET Developers, all the recipes are selected based on real-world scenarios that you will commonly come across. Each recipe covers a specific topic, going from the description of the problem, through a conceptual solution, to a solution containing sample code. By following these recipes, you can acquire how to program with OData in a simple, effective, and easy manner.
Soledad Galli, Christoph Molnar
Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering Cookbook to make your data preparation more efficient.This guide addresses common challenges, such as imputing missing values and encoding categorical variables using practical solutions and open source Python libraries. You’ll learn advanced techniques for transforming numerical variables, discretizing variables, and dealing with outliers. Each chapter offers step-by-step instructions and real-world examples, helping you understand when and how to apply various transformations for well-prepared data.The book explores feature extraction from complex data types such as dates, times, and text. You’ll see how to create new features through mathematical operations and decision trees and use advanced tools like Featuretools and tsfresh to extract features from relational data and time series.By the end, you’ll be ready to build reproducible feature engineering pipelines that can be easily deployed into production, optimizing data preprocessing workflows and enhancing machine learning model performance.
When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases.By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.
Building Online Stores with osCommerce: Beginner Edition. A step by step introduction to osCommerce
Using an easy-to-read and engaging style, this book introduces the fundamentals of osCommerce, and helps you build your first online store. It covers the out-of-the-box features of osCommerce, but it also shows you how to customize the application to your own needs.The book starts with the basics of downloading and installing osCommerce, or simply how to enable it on your Internet domain using the tools provided by your host. All of the most important configuration issues are explained, with clear instructions and advice to help you make the right choices.Once osCommerce is installed and configured, you will take a good look at how to work with your store's data including product information as well as other data which is responsible for keeping your site healthy.The all important topic of customization is also dealt with comprehensively. You will see how to develop attractive sites that will make your store a pleasure to browse and your products a pleasure to buy!Of course, no discussion on osCommerce would be complete without a look at how to obtain and treat payments. Using the modules provided with osCommerce you will be collecting money from your happy customers in no time!Once the reader has a fully fledged, and operational site it is time to look at deployment? an important topic for discussion if development has taken place on a development machine.The appendix will add a few tools to your armory and shed some light as to what is going on behind the scenes in case things go awry.
ANTHONY HORROCKS, Dave Greenberg
CiviCRM is a web-based, open source, Constituent Relationship Management (CRM) software geared toward meeting the needs of non-profit and other civic-sector organizations.Organizations realize their mission via CiviCRM through contact management, fundraising, event management, member management, mass e-mail marketing, peer-to-peer campaigns, case management, and much more.CiviCRM is localized in over 20 languages including: Chinese (Taiwan, China), Dutch, English (Australia, Canada, U.S., UK), French (France, Canada), German, Italian, Japanese, Russian, and Swedish.CiviCRM Cookbook will enhance your CiviCRM skills. It has recipes to help you use CiviCRM more efficiently, integrate it with CMSs, and also develop CiviCRM.This book begins with recipes that help save time and effort with CiviCRM. This is followed by recipes for organizing data more efficiently and managing profiles.Then you will learn authentication and authorization and managing communication with contacts.Then you will be guided on using the searching feature and preparing reports. We will then talk about integrating Drupal and CiviCRM. You will also be taught to manage events effectively. Finally, learn about CiviCampaign, Civimember, and developing CiviCRM.
Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
Arun Manivannan, Pascal Bugnion, Patrick R. Nicolas
Scala is especially good for analyzing large sets of data as the scale of the task doesn’t have any significant impact on performance. Scala’s powerful functional libraries can interact with databases and build scalable frameworks — resulting in the creation of robust data pipelines. The first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. Using real world examples, you will learn how to design scalable architecture to process and model data — starting from simple concurrency constructs and progressing to actor systems and Apache Spark. After this, you will also learn how to build interactive visualizations with web frameworks.Once you have become familiar with all the tasks involved in data science, you will explore data analytics with Scala in the second module. You’ll see how Scala can be used to make sense of data through easy to follow recipes. You will learn about Bokeh bindings for exploratory data analysis and quintessential machine learning with algorithms with Spark ML library. You’ll get a sufficient understanding of Spark streaming, machine learning for streaming data, and Spark graphX. Armed with a firm understanding of data analysis, you will be ready to explore the most cutting-edge aspect of data science — machine learning. The final module teaches you the A to Z of machine learning with Scala. You’ll explore Scala for dependency injections and implicits, which are used to write machine learning algorithms. You’ll also explore machine learning topics such as clustering, dimentionality reduction, Naïve Bayes, Regression models, SVMs, neural networks, and more. This learning path combines some of the best that Packt has to offer into one complete, curated package. It includes content from the following Packt products:• Scala for Data Science, Pascal Bugnion• Scala Data Analysis Cookbook, Arun Manivannan • Scala for Machine Learning, Patrick R. Nicolas
Big Data Analytics. Real time analytics using Apache Spark and Hadoop
Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data.
Take your React development skills to the next level by examining common anti-patterns with expert insights and practical solutions, to refine your codebases into sophisticated and scalable creations. Through this easy-to-follow guide, React Anti-Patterns serves as a roadmap to elevating the efficiency and maintainability of your React projects.You’ll begin by familiarizing yourself with the essential aspects of React before exploring strategies for structuring React applications and creating well-organized, modular, and easy-to-maintain codebases. From identifying and addressing common anti-patterns using refactoring techniques to harnessing the power of test-driven development (TDD), you’ll learn about the tools and techniques necessary to create reliable and robust tests. As you advance, you’ll get to grips with business logic and design patterns that offer solutions to prevalent challenges faced in React development. The book also offers insights into using composition patterns, such as code splitting and multiple entry points, to enhance the flexibility and modularity of your React applications, guiding you through end-to-end project implementation.By the end of this React book, you’ll be able to overcome common challenges and pitfalls to transform your React projects into elegant, efficient, and maintainable codebases.
With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples.This book starts by taking you through the core concepts necessary to understand how each component of a GAN model works. You'll build your first GAN model to understand how generator and discriminator networks function. As you advance, you'll delve into a range of examples and datasets to build a variety of GAN networks using PyTorch functionalities and services, and become well-versed with architectures, training strategies, and evaluation methods for image generation, translation, and restoration. You'll even learn how to apply GAN models to solve problems in areas such as computer vision, multimedia, 3D models, and natural language processing (NLP). The book covers how to overcome the challenges faced while building generative models from scratch. Finally, you'll also discover how to train your GAN models to generate adversarial examples to attack other CNN and GAN models.By the end of this book, you will have learned how to build, train, and optimize next-generation GAN models and use them to solve a variety of real-world problems.
The Julia programming language offers a fresh perspective into the data visualization field.Interactive Visualization and Plotting with Julia begins by introducing the Julia language and the Plots package. The book then gives a quick overview of the Julia plotting ecosystem to help you choose the best library for your task. In particular, you will discover the many ways to create interactive visualizations with its packages. You’ll also leverage Pluto notebooks to gain interactivity and use them intensively through this book. You’ll find out how to create animations, a handy skill for communication and teaching. Then, the book shows how to solve data analysis problems using DataFrames and various plotting packages based on the grammar of graphics. Furthermore, you’ll discover how to create the most common statistical plots for data exploration. Also, you’ll learn to visualize geographically distributed data, graphs and networks, and biological data. Lastly, this book will go deeper into plot customizations with Plots, Makie, and Gadfly—focusing on the former—teaching you to create plot themes, arrange multiple plots into a single figure, and build new plot types.By the end of this Julia book, you’ll be able to create interactive and publication-quality static plots for data analysis and exploration tasks using Julia.
Learning Django can be a tricky and time-consuming activity. There are hundreds of tutorials, loads of documentation, and many explanations that are hard to digest. However, this book enables you to use and learn Django in just a couple of days.In this book, you’ll go on a fun, hands-on, and pragmatic journey to learn Django full stack development. You'll start building your first Django app within minutes. You'll be provided with short explanations and a practical approach that cover some of the most important Django features, such as Django Apps’ structure, URLs, views, templates, models, CSS inclusion, image storage, authentication and authorization, Django admin panel, and many more. You'll also use Django to develop a movies review app and deploy it to the internet.By the end of this book, you'll be able to build and deploy your own Django web applications.
Algorithm-based trading is a popular choice for Python programmers due to its apparent simplicity. However, very few traders get the results they want, partly because they aren’t able to capture the complexity of the factors that influence the market. Getting Started with Forex Trading Using Python helps you understand the market and build an application that reaps desirable results.The book is a comprehensive guide to everything that is market-related: data, orders, trading venues, and risk. From the programming side, you’ll learn the general architecture of trading applications, systemic risk management, de-facto industry standards such as FIX protocol, and practical examples of using simple Python codes. You’ll gain an understanding of how to connect to data sources and brokers, implement trading logic, and perform realistic tests. Throughout the book, you’ll be encouraged to further study the intricacies of algo trading with the help of code snippets.By the end of this book, you’ll have a deep understanding of the fx market from the perspective of a professional trader. You’ll learn to retrieve market data, clean it, filter it, compress it into various formats, apply trading logic, emulate the execution of orders, and test the trading app before trading live.
Saurabh Shrivastava, Neelanjali Srivastav, Kamal Arora
Becoming a solutions architect gives you the flexibility to work with cutting-edge technologies and define product strategies. This handbook takes you through the essential concepts, design principles and patterns, architectural considerations, and all the latest technology that you need to know to become a successful solutions architect.This book starts with a quick introduction to the fundamentals of solution architecture design principles and attributes that will assist you in understanding how solution architecture benefits software projects across enterprises. You'll learn what a cloud migration and application modernization framework looks like, and will use microservices, event-driven, cache-based, and serverless patterns to design robust architectures. You'll then explore the main pillars of architecture design, including performance, scalability, cost optimization, security, operational excellence, and DevOps. Additionally, you'll also learn advanced concepts relating to big data, machine learning, and the Internet of Things (IoT). Finally, you'll get to grips with the documentation of architecture design and the soft skills that are necessary to become a better solutions architect.By the end of this book, you'll have learned techniques to create an efficient architecture design that meets your business requirements.
Ubuntu Server has taken data centers around the world by storm. Whether you're deploying Ubuntu for a large-scale project or for a small office, it is a stable, customizable, and powerful Linux distribution with innovative and cutting-edge features. For both simple and complex server deployments, Ubuntu's flexible nature can be easily adapted to meet to the needs of your organization.This third edition is updated to cover the advancements of Ubuntu 20.04 LTS and further train you to understand how to use Ubuntu Server, from initial deployment to creating production-ready resources for your network. The book begins with the concepts of user management, group management, and file system permissions. Continuing into managing storage volumes, you will learn how to format storage devices, utilize logical volume management, and monitor disk usage. Later, you will learn how to virtualize hosts and applications, which will include setting up QEMU & KVM, as well as containerization with both Docker and LXD. As the book continues, you will learn how to automate configuration with Ansible, as well as take a look at writing scripts. Lastly, you will explore best practices and troubleshooting techniques when working with Ubuntu Server that are applicable to real-world scenarios.By the end of this Ubuntu Server book, you will be well-versed in Ubuntu server’s advanced concepts and attain the required proficiency needed for Ubuntu Server administration.