Informatyka
Michael Missbach, George Anderson
System SAP jest uznanym zintegrowanym systemem informatycznym do zarządzania firmą. Charakteryzuje się ogromnym bogactwem funkcjonalności i elastycznością, ułatwiającą zmianę skali lub profilu działalności przedsiębiorstwa. Użytkownikami SAP są firmy o różnej wielkości i o różnych modelach biznesu. Szczególnie cenną możliwością SAP jest optymalizacja komunikacji i współpracy z otoczeniem: SAP CRM ułatwia zarządzanie relacjami z klientami, SAP SCM — zarządzanie łańcuchem dostaw, a SAP SRM pomaga w zarządzaniu relacjami z dostawcami. Niniejsza książka pozwala w bardzo krótkim czasie zapoznać się z systemami SAP. Składa się z 24 rozdziałów-lekcji. Przyswojenie materiału każdej z tych lekcji nie powinno trwać dłużej niż godzinę. Ten niezwykle praktyczny przewodnik umożliwia solidne opanowanie podstaw, a następnie zapoznanie się z bardziej zaawansowanymi zagadnieniami. Dzięki temu szybko można zrozumieć, na czym polega planowanie, wdrażanie systemu SAP i korzystanie z niego. Aby umożliwić utrwalenie materiału, każdy rozdział zakończono praktycznym studium przypadku. W książce omówiono: podstawy SAP oraz opis aplikacji i komponentów systemu, instalację systemu SAP w wersji stacjonarnej i w wersji systemu w chmurze, SAP z punktu widzenia biznesu i z punktu widzenia informatyki, najnowsze rozwiązania: bazy HANA, nowy interfejs użytkownika, Software as a Service i inne, operacje biznesowe w SAP, praktyczne podejście do implementacji, migracji i aktualizacji systemu SAP, SAP a internet rzeczy, media społecznościowe, wielkie zbiory danych i inne zagadnienia najbliższej przyszłości. SAP — zostań ekspertem w 24 godziny! Dr Michael Missbach jest dyrektorem Cisco SAP Competence Center. Opracowuje zbiór dobrych praktyk związanych z korzystaniem z aplikacji SAP HANA i innych ważnych usług biznesowych implementowanych w chmurach publicznych i prywatnych. Dr George Anderson jest starszym architektem i dyrektorem programowym w Microsoft Services, specjalizuje się w projektowaniu i implementowaniu ważnych rozwiązań biznesowych SAP i Microsoft Dynamics.
Harish Gulati
SAS is a groundbreaking tool for advanced predictive and statistical analytics used by top banks and financial corporations to establish insights from their financial data.SAS for Finance offers you the opportunity to leverage the power of SAS analytics in redefining your data. Packed with real-world examples from leading financial institutions, the author discusses statistical models using time series data to resolve business issues.This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate financial models. You can easily assess the pros and cons of models to suit your unique business needs.By the end of this book, you will be able to leverage the true power of SAS to design and develop accurate analytical models to gain deeper insights into your financial data.
Ben Frain
A step-by-step tutorial guide, taking you through how to build a responsive Sass and Compass powered website. If you understand HTML and CSS, this book is all you need to take your code to the next level with Sass and Compass. No prior understanding of CSS preprocessors or programming conventions is needed.
Sridhar Alla, Md. Rezaul Karim
Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you.The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment.You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio.By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.
Arun Manivannan
This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits.Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you’ll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX.
Ivan Nikolov
Design patterns make developers’ lives easier by helping them write great software that is easy to maintain, runs efficiently, and is valuable to the company or people concerned. You’ll learn about the various features of Scala and will be able to apply well-known, industry-proven design patterns in your work. The book starts off by focusing on some of the most interesting and latest features of Scala while using practical real-world examples. We will be learning about IDE’s and Aspect Oriented Programming. We will be looking into different components in Scala. We will also cover the popular Gang of Four design patterns and show you how to incorporate functional patterns effectively. The book ends with a practical example that demonstrates how the presented material can be combined in real-life applications. You’ll learn the necessary concepts to build enterprise-grade applications. By the end of this book, you’ll have enough knowledge and understanding to quickly assess problems and come up with elegant solutions.
Scala Design Patterns. Write efficient, clean, and reusable code with Scala
Ivan Nikolov
Scala has become increasingly popular in many different IT sectors. The language is exceptionally feature-rich which helps developers write less code and get faster results. Design patterns make developer’s lives easier by helping them write great software that is easy to maintain, runs efficiently and is valuable to the company or people concerned.You will learn about the various features of Scala and be able to apply well-known, industry-proven design patterns in your work. The book starts off by focusing on some of the most interesting features of Scala while using practical real-world examples. We will also cover the popular Gang of Four design patterns and show you how to incorporate functional patterns effectively. By the end of this book, you will have enough knowledge and understanding to quickly assess problems and come up with elegant solutions.
Thomas Alexandre
This step-by-step guide is full of easy-to-follow code taken from real-world examples explaining the migration and integration of Scala in a Java project. If you are a Java developer or a Java architect, working in Java EE-based solutions and want to start using Scala in your daily programming, this book is ideal for you. This book will get you up and running quickly by adopting a pragmatic approach with real-world code samples. No prior knowledge of Scala is required.
Mohammed Rafi, Patrick R. Nicolas
The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering design, logistics, manufacturing, and trading strategies, to detection of genetic anomalies. The book is your one stop guide that introduces you to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits. You start by learning data preprocessing and filtering techniques. Following this, you'll move on to unsupervised learning techniques such as clustering and dimension reduction, followed by probabilistic graphical models such as Naïve Bayes, hidden Markov models and Monte Carlo inference. Further, it covers the discriminative algorithms such as linear, logistic regression with regularization, kernelization, support vector machines, neural networks, and deep learning. You’ll move on to evolutionary computing, multibandit algorithms, and reinforcement learning.Finally, the book includes a comprehensive overview of parallel computing in Scala and Akka followed by a description of Apache Spark and its ML library. With updated codes based on the latest version of Scala and comprehensive examples, this book will ensure that you have more than just a solid fundamental knowledge in machine learning with Scala.
Md. Rezaul Karim
Machine learning has had a huge impact on academia and industry by turning data into actionable information. Scala has seen a steady rise in adoption over the past few years, especially in the fields of data science and analytics. This book is for data scientists, data engineers, and deep learning enthusiasts who have a background in complex numerical computing and want to know more hands-on machine learning application development.If you're well versed in machine learning concepts and want to expand your knowledge by delving into the practical implementation of these concepts using the power of Scala, then this book is what you need! Through 11 end-to-end projects, you will be acquainted with popular machine learning libraries such as Spark ML, H2O, DeepLearning4j, and MXNet.At the end, you will be able to use numerical computing and functional programming to carry out complex numerical tasks to develop, build, and deploy research or commercial projects in a production-ready environment.
Joshua Suereth D.
Scala to słowo, które ostatnio nie schodzi z ust programistów Javy. Pod tą nazwą kryje się język łączący światy programowania funkcyjnego i obiektowego. Jego ogromną zaletą jest działanie w oparciu o wirtualną maszynę Javy. Pozwala to między innymi na bezproblemową komunikację i współdzielenie kodu między oboma językami. James Gosling, twórca Javy, zapytany o to, jakiego języka oprogramowania działającego w ten sposób użyłby obecnie (gdyby nie mógł wykorzystać Javy), odparł bez zastanowienia: „Scala!”. To chyba najlepszy dowód na to, że ten język wart jest Twojego czasu! Dzięki tej książce opanujesz Scalę szybko i bezboleśnie, więc będziesz mógł wykorzystać jej zalety już w najbliższym projekcie. W trakcie lektury poznasz składnię, fundamentalne zasady tworzenia oprogramowania w Scali oraz konwencje kodowania w tym języku. W kolejnych rozdziałach dowiesz się, czym są niejawne widoki, jakie typy danych masz do dyspozycji i jakie są ich ograniczenia. Co jeszcze? Integracja Scali z Javą to niezwykle istotny temat, dający Ci pole do popisu! Ponadto poznasz wzorce stosowane w programowaniu funkcyjnym. Słowo wstępne do tej niezwykłej książki napisał sam Martin Odersky - twórca języka Scala! Niniejsza książka jest najlepszym kompendium wiedzy na temat programowania w tym języku. Musisz ją mieć! Poznaj: konwencje obowiązujące w Scali składnię języka najlepsze wzorce projektowe stosowane w programowaniu funkcyjnym potencjał języka Scala! Poznaj i wykorzystaj potęgę programowania funkcyjnego!
Mikael Valot, Nicolas Jorand
Scala Programming Projects is a comprehensive project-based introduction for those who are new to Scala. Complete with step-by-step instructions and easy-to-follow tutorials that demonstrate best practices when building applications, this Scala book will have you building real-world projects in no time.Starting with the fundamentals of software development, you’ll begin with simple projects, such as developing a financial independence calculator, and then advance to more complex projects, such as a building a shopping application and a Bitcoin transaction analyzer. You’ll explore a variety of Scala features, including its OOP and FP capabilities, and learn how to write concise, reactive, and concurrent applications in a type-safe manner. You’ll also understand how to use libraries such as Akka and Play. Furthermore, you’ll be able to integrate your Scala apps with Kafka, Spark, and Zeppelin, along with deploying applications on a cloud platform.By the end of the book, you’ll have a firm foundation in Java programming that’ll enable you to solve a variety of real-world problems, and you’ll have built impressive projects to add to your professional portfolio.
Rambabu Posa
Reactive programming is a scalable, fast way to build applications, and one that helps us write code that is concise, clear, and readable. It can be used for many purposes such as GUIs, robotics, music, and others, and is central to many concurrent systems. This book will be your guide to getting started with Reactive programming in Scala.You will begin with the fundamental concepts of Reactive programming and gradually move on to working with asynchronous data streams. You will then start building an application using Akka Actors and extend it using the Play framework. You will also learn about reactive stream specifications, event sourcing techniques, and different methods to integrate Akka Streams into the Play Framework. This book will also take you one step forward by showing you the advantages of the Lagom framework while working with reactive microservices. You will also learn to scale applications using multi-node clusters and test, secure, and deploy your microservices to the cloud.By the end of the book, you will have gained the knowledge to build robust and distributed systems with Scala and Akka.
Scala:Applied Machine Learning. Master the art of Machine Learning in Scala
Patrick R. Nicolas, Alex Kozlov, Pascal Bugnion
This Learning Path aims to put the entire world of machine learning with Scala in front of you. Scala for Data Science, the first module in this course, is a tutorial guide that provides tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed building data science and data engineering solutions.The second course, Scala for Machine Learning guides you through the process of building AI applications with diagrams, formal mathematical notation, source code snippets, and useful tips. A review of the Akka framework and Apache Spark clusters concludes the tutorial.The next module, Mastering Scala Machine Learning, is the final step in this course. It will take your knowledge to next level and help you use the knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees.By the end of this course, you will be a master at Scala machine learning and have enough expertise to be able to build complex machine learning projects using Scala.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:? Scala for Data Science, Pascal Bugnion? Scala for Machine Learning, Patrick Nicolas? Mastering Scala Machine Learning, Alex Kozlov
Pacifique Linjanja
In this book, Pacifique Linjanja, a globally recognized software engineer and open-source contributor, shares his deep technical expertise and practical insights from his extensive experience delivering enterprise-level applications to unpack the full potential of NestJS, the cutting-edge Node.js framework.This book covers the core concepts, design patterns, and best practices for building scalable, high-performance applications with NestJS. You’ll learn REST API and GraphQL implementations, harness the power of microservices, and explore real-world case studies, including e-commerce, social networking, and ERP systems. The chapters provide step-by-step guidance for setting up your development environment with TypeScript and npm, structuring projects effectively, and using the Apollo Federation architecture to create efficient GraphQL APIs. This book offers hands-on guidance for testing and debugging APIs, handling exceptions, and validating data using pipes and guards, all while helping you build a complete NestJS application from scratch.By the end, you'll be ready to apply DevOps principles for continuous integration and deployment, as well as secure your NestJS applications using advanced techniques.*Email sign-up and proof of purchase required
Scales of Banach Spaces, Theory of Interpolation and their Applications
Łukasz Dawidowski
Celem niniejszej monografii jest omówienie teorii skal przestrzeni Banacha oraz teorii interpolacji wraz z podaniem przykładów ich zastosowań. W pierwszej kolejności opisano teoretyczne podstawy teorii interpolacji. Podano definicje oraz podstawowe twierdzenia dotyczące konstrukcji przestrzeni interpolacyjnych (interpolacja rzeczywista i zespolona). Druga, główna, część monografii przedstawia definicję potęg ułamkowych operatorów, w szczególności dodatnich operatorów sektorialnych. Zaprezentowano także ich zastosowanie do konstrukcji skal przestrzeni Banacha, które jako główny obiekt badań są przykładem przestrzeni interpolacyjnych. W pracy zamieszczono również charakteryzację skal przestrzeni Banacha, która służy jako podstawa teoretyczna do opisu zastosowań tej teorii. W trzeciej części pokazano wykorzystanie podanej wcześniej teorii do badania „zachowań” operatorów na różnych poziomach skali. Udowodniono twierdzenia dotyczące operatorów domkniętych oraz operatorów sektorialnych. Następnie opisano konkretne równania cząstkowe, w rozwiązywaniu których można zastosować wspomnianą teorię.
Hrishikesh Vijay Karambelkar
This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.
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.
Prof. Chris Piorkowski
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
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.
Scratch bez tajemnic. Programowanie gier od podstaw
Jakub Porzycki, Urszula Łukasik
Własna gra komputerowa? To musi się udać! Podstawowe polecenia Proste problemy programistyczne i własne bloczki Twoja pierwsza gra komputerowa ze Scratchem Jeśli sięgasz po tę książkę, na pewno uwielbiasz gry komputerowe i zastanawiasz się, jak samodzielnie stworzyć własną. Albo masz już gotowy pomysł i szukasz sposobów na jego realizację. Ta książka będzie dla Ciebie idealnym przewodnikiem na start. Od czego zacząć i jak nauczyć się programowania, które pozwoli Ci stworzyć swój własny mikroświat w komputerze? Scratch bez tajemnic zawiera kilkanaście projektów prostych gier napisanych w języku Scratch, stworzonym specjalnie do nauki programowania. Zabawne i intrygujące zadania, które Cię tu czekają, będą nie tylko świetną rozrywką, lecz także wstępem do samodzielnego pisania gier. Zobacz, jak przygotować kosmiczną bitwę, zaprojektować zmasowany atak bakterii i stworzyć swoją własną platformówkę. Baw się tymi przykładami, rozbudowuj je i zmieniaj według własnych pomysłów. Programowanie nie jest tak trudne, jak Ci się wydaje! Projekt akwarium Znikający duszek i okrutna matematyka Pogrywamy sobie w kotka i myszkę Przygody w kosmosie i kosmiczna bitwa Żuczek na autostradzie i arkanoid Twoje własne bloczki Inwazja bakterii Rysowanie jest proste Platformówki Wąż Turniej łuczniczy Niech zabrzmią działa Programuj i graj!