Wydawca: 8
Scala 3. Kurs video. Programowanie funkcyjne
Piotr Chudzik
Obierz kurs na... programowanie funkcyjne w języku Scala Statycznie typowany język programowania Scala charakteryzuje się między innymi tym, że wspiera zarówno programowanie funkcyjne, jak i obiektowe. Co więcej, Scala jest językiem wieloplatformowym – działa na maszynie wirtualnej Javy i platformie .NET. W najnowszej wersji (3) składnia Scali mocno zbliża się do składni Pythona i równocześnie dzieli biblioteki z Javą, co czyni ją bardziej przystępną, pierwotnie bowiem próg wejścia dla tego języka był nieco wyższy niż na przykład dla Kotlina czy Javy. Warto poznać Scalę bliżej, szczególnie jeśli planuje się działać w takich dziedzinach jak data science, big data czy machine learning – programiści operujący w tych specjalizacjach na co dzień posługują się właśnie tym językiem. Korzystają z niego również takie firmy jak LinkedIn, Zalando czy X (wcześniej: Twitter). Powstała ponad dwadzieścia lat temu Scala wciąż cieszy się popularnością, programiści doceniają ją za wygodę, elastyczność, zwięzłość i możliwości, jakie oferuje. Zwracają uwagę na to, że kiedy piszą kod w Scali, są w stanie używać składni języka typowanego dynamicznie (jak Python) i nie tracą kontroli nad poprawnością kodu na etapie kompilacji. Programiści Scali cenią jej skondensowaną składnię i hybrydowość pozwalającą tworzyć kod obiektowy z wykorzystaniem elementów kodu funkcyjnego. Ci, którzy zgłębili Scalę, podkreślają, że aby się jej nauczyć, nie trzeba się od razu rzucać na głęboką wodę programowania funkcyjnego – można robić to stopniowo, o czym się przekonasz w trakcie naszego kursu. Co Cię czeka podczas naszego profesjonalnego szkolenia Z naszym kursem między innymi: Przygotujesz swoje środowisko pracy w Scali (systemy operacyjne Linux i Windows) Nauczysz się tworzyć własne zmienne – mutowalne i niemutowalne Dowiesz się, jak się przyjmuje dane od użytkownika Zobaczysz, jakie typy danych są dostępne i jak się je deklaruje Będziesz konwertować określony typ danych na inny Przeprowadzisz w Scali operacje matematyczne i logiczne Opanujesz sterowanie kodem za pomocą instrukcji if/match i pętli loop/while Przygotujesz kolekcje danych Zaimportujesz moduły – zmienne i funkcje Wykreujesz własne funkcje Scala 3. Kurs video. Programowanie funkcyjne kończy się na poziomie podstawowym. Zdobyta w trakcie szkolenia wiedza pozwoli Ci na podjęcie pierwszych kroków w świecie programowania opartego na języku funkcyjnym, jakim jest Scala.
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.
Pascal Bugnion
Scala is a multi-paradigm programming language (it supports both object-oriented and functional programming) and scripting language used to build applications for the JVM. Languages such as R, Python, Java, and so on are mostly used for data science. It is particularly good at analyzing large sets of data without any significant impact on performance and thus Scala is being adopted by many developers and data scientists. Data scientists might be aware that building applications that are truly scalable is hard. Scala, with its powerful functional libraries for interacting with databases and building scalable frameworks will give you the tools to construct robust data pipelines.This book will introduce you to the libraries for ingesting, storing, manipulating, processing, and visualizing data in Scala.Packed with real-world examples and interesting data sets, this book will teach you to ingest data from flat files and web APIs and store it in a SQL or NoSQL database. It will show you how to design scalable architectures to process and modelling your data, starting from simple concurrency constructs such as parallel collections and futures, through to actor systems and Apache Spark. As well as Scala’s emphasis on functional structures and immutability, you will learn how to use the right parallel construct for the job at hand, minimizing development time without compromising scalability. Finally, you will learn how to build beautiful interactive visualizations using web frameworks.This book gives tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed with building data science and data engineering 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.