Programowanie

Scala Test-Driven Development. Write clean scala code that works

Gaurav Sood

Test-driven development (TDD) produces high-quality applications in less time than is possible with traditional methods. Due to the systematic nature of TDD, the application is tested in individual units as well as cumulatively, right from the design stage, to ensure optimum performance and reduced debugging costs. This step-by-step guide shows you how to use the principles of TDD and built-in Scala testing modules to write clean and fully tested Scala code and give your workflow the change it needs to let you create better applications than ever before. After an introduction to TDD, you will learn the basics of ScalaTest, one of the most flexible and most popular testing tools around for Scala, by building your first fully test-driven application. Building on from that you will learn about the ScalaTest API and how to refactor code to produce high-quality applications. We’ll teach you the concepts of BDD (Behavior-driven development) and you’ll see how to add functional tests to the existing suite of tests. You’ll be introduced to the concepts of Mocks and Stubs and will learn to increase test coverage using properties. With a concluding chapter on miscellaneous tools, this book will enable you to write better quality code that is easily maintainable and watch your apps change for the better.

Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data

Jason Myerscough, Arunee Singhchawla

Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters.The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance.By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI.

Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data

Jason Myerscough, Arunee Singhchawla

Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters.The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance.By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI.

Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis

Tarik Makota, Brian Maguire, Danny Gagne, Rajeev...

Amazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale.Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you’ll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk.By the end of this AWS book, you’ll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA).

Scaling Agile with Jira Align. A practical guide to strategically scaling agile across teams, programs, and portfolios in enterprises

Dean MacNeil, Aslam Cader

Jira Align is a platform purpose-built for enterprises to connect strategy with execution and drive transparency, consistency, and predictability at all levels of scale. The platform supports business value delivery in agile frameworks such as LeSS, DAD, and SAFe. It also caters to organizations that mix agile with waterfall to support scaled bimodal delivery.Starting with an introduction to the platform and its features, this book takes you through the foundational building blocks of Jira Align. You’ll learn how an organization can benefit from implementing Jira Align and understand how to connect dimensions such as people, work, time, and outcomes. The book takes you through the typical steps for implementing Jira Align for maximizing outcomes and helps you solve common team, program, and portfolio-level challenges by enhancing visibility, tracking dependencies and risks, and using reports for real-time, distributed decision making. Throughout the book, you’ll explore features such as remote agile ceremonies, live roadmaps, and objectives and key results (OKRs). You’ll also get to grips with lean portfolio management, financial reporting, and using the program board for planning and execution.By the end of this book, you’ll be well versed in the key features of Jira Align and be able to leverage them to support all levels of agile at scale.

Scaling Apache Solr. Optimize your searches using high-performance enterprise search repositories with Apache Solr

Hrishikesh Vijay Karambelkar

Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition

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.

scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Second Edition

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.

scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Third Edition

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

SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations

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.

Scratch 2.0 Beginner's Guide. Create digital stories, games, art, and animations through six unique projects

Michael Badger

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!

Scripting. Automation with Bash, PowerShell, and Python

Rheinwerk Publishing, Inc, Michael Kofler

This comprehensive scripting guide empowers system administrators, developers, and power users to automate repetitive IT tasks across platforms using three major scripting languages: Bash, PowerShell, and Python. The book opens with foundational scripting concepts and showcases what you can accomplish with just ten lines of code. It continues with in-depth chapters on each language, emphasizing syntax, control structures, error handling, and modularity.Readers will explore practical techniques for managing files, parsing text, utilizing regular expressions, and working with JSON, XML, and INI formats. The book dives into job automation with cron and Task Scheduler, secure communication via SSH, and scripting in professional environments with tools like Visual Studio Code and Git.The final section applies scripting to real-world cases, including system backups, image processing, web scraping, API consumption, database interactions, cloud integration, and virtual machine automation. With this book, readers build a strong scripting toolkit to efficiently manage modern IT workflows.

Scrum. Przewodnik po antywzorcach

Stefan Wolpers

Wyzwania, przed którymi staje każdy zespół scrumowy i jak je pokonać "Stefan Wolpers ma niezwykłą zdolność wskazywania ukrytych pułapek i trudności, z którymi borykają się interesariusze, zespoły i procesy. Wolpers dokumentuje źródła marnotrawstwa i frustracji, tworząc zadziwiające kompendium typowych sytuacji, które blokują postęp. Przygnębiające! Ale nie zostawia nas z tym. Przedstawia również trafne rozwiązania. Budujące!" -Diana Larsen, wykładowca, doradca i autorka witryny dianalarsen.com Odblokuj sukces w Scrumie, niezależnie od tego, czy jesteś ekspertem, czy dopiero zaczynasz. przewodnik po antywzorcach Scruma to twój klucz do zrozumienia i udoskonalenia praktyk Scruma. Scrum jest łatwy do zrozumienia, ale osiągnięcie doskonałości jest trudne. Jako framework, Scrum jest szczególnie wymagający, gdyż nie istnieje formalne wykształcenie dostosowane do poszczególnych ról ani wyczerpujący zbiór praktyk, które byłyby dostępne dla osób zainteresowanych ich stosowaniem. Scrum Guide przedstawia zasady jedynie jako szkic - od stosowania Scruma do złożonych problemów adaptacyjnych po promowanie samozarządzania - i w ogóle nie zawiera żadnych zaleceń, jak powinny pracować Zespoły Scrumowe. Scrum. Przewodnik po antywzorcach to zestawienie wyzwań, z którymi mierzy się każdy Zespół Scrumowy oraz sposoby ich pokonywania. Stefan Wolpers używa Scrum Guide jako szablonu, wspomagając poznawanie Scruma przez początkujących praktyków - treści są porządkowane według ról, zdarzeń, artefaktów i zobowiązań. Bardziej doświadczony czytelnik może użyć książki do rozwiązywania indywidualnych problemów lub sytuacji. Omówienie antywzorców Scruma zarówno dla nowicjuszy, jak i doświadczonych praktyków Praktyczne informacje na temat tego, dlaczego implementacje Scruma często są nieskuteczne i sposoby ich ulepszania Propozycje usprawnień i korekt kursu w praktyce Scruma, dokonywanych w czasie rzeczywistym Stefan Wolpers uzyskał tytuły Professional Scrum Trainer od Scrum.org, a ponadto Agile Coach i Scrum Master. Specjalizuje się we wspomaganiu transformacji zwinnych poprzez takie praktyki, jak Scrum, LeSS, Kanban, Lean Startup i profesjonalne zarządzanie produktem. Jest licencjonowanym facylitatorem Agile Fluency Team Diagnostic z doświadczeniem na stanowiskach kierowniczych wyższych szczebli. Jest redaktorem popularnego newslettera "Food for Agile Thought", z którym współpracuje ponad 50 tysięcy entuzjastów Agile na całym świecie. Cały dochód Scrum.org uzyskiwany z tej serii wydawniczej przekazywany jest na rzecz Year Up, organizacji, która dąży do zniwelowanie nierówności poprzez zapewnianie młodym dorosłym mieszkańcom miast umiejętności, doświadczenia i wsparcia, które umożliwią im osiągnięcie pełnego potencjału poprzez karierę zawodową i wyższe wykształcenie.

SDL Game Development. If you're good with C++ and object oriented programming, this book utilizes your skills to create 2D games using the Simple DirectMedia Layer API. Practical tutorials include the development of two wickedly good games

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.

Secret Recipes of the Python Ninja. Over 70 recipes that uncover powerful programming tactics in Python

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.

Secret Recipes of the Python Ninja. Over 70 recipes that uncover powerful programming tactics in Python

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.

Secure Continuous Delivery on Google Cloud. Implement an automated and secure software delivery pipeline on Google Cloud using native services

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.

Secure Continuous Delivery on Google Cloud. Implement an automated and secure software delivery pipeline on Google Cloud using native services

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.