Informatyka
Wes McKinney
Analiza danych stała się samodzielną dyscypliną wiedzy interesującą specjalistów z wielu branż: analityków biznesowych, statystyków, architektów oprogramowania czy też osoby zajmujące się sztuczną inteligencją. Wydobywanie informacji ze zbiorów danych pozwala na uzyskanie wiedzy niedostępnej w inny sposób. W tym celu dane trzeba odpowiednio przygotować, oczyścić, przetworzyć i oczywiście poddać analizie. Warto również zadbać o ich wizualizację. Do tych wszystkich zadań najlepiej wykorzystać specjalne narzędzia opracowane w języku Python. Prezentowana książka jest drugim, zaktualizowanym i uzupełnionym, wydaniem klasycznego podręcznika napisanego z myślą o analitykach, którzy dotychczas nie pracowali w Pythonie, oraz o programistach Pythona, którzy nie zajmowali się dotąd analizą danych ani obliczeniami naukowymi. Przedstawiono tu możliwości oferowane przez Pythona 3.6 oraz najnowsze funkcje pakietów Pandas i NumPy, a także środowisk IPython i Jupyter. Przy opisie poszczególnych narzędzi analitycznych wyjaśniono ich działanie i zaprezentowano przykłady ich wykorzystania w sposób efektywny i kreatywny. Ta książka powinna się znaleźć w podręcznej bibliotece każdego analityka danych! Najważniejsze zagadnienia: Eksploracja danych za pomocą powłoki IPython i środowiska Jupyter Korzystanie z pakietów NumPy i Pandas Tworzenie wizualizacji danych za pomocą pakietu Matplotlib Praca z danymi regularnych i nieregularnych szeregów czasowych Rozwiązywanie rzeczywistych problemów analitycznych Python: poznaj idealne narzędzie do analizy danych!
Wes McKinney
Wprawny analityk danych potrafi z nich uzyskać wiedzę ułatwiającą podejmowanie trafnych decyzji. Od kilku lat można do tego używać nowoczesnych narzędzi Pythona, które zbudowano specjalnie do tego celu. Praca z nimi nie wymaga głębokiej znajomości statystyki czy algebry. Aby cieszyć się uzyskanymi rezultatami, wystarczy się wprawić w stosowaniu kilku pakietów i środowisk Pythona. Ta książka jest trzecim, starannie zaktualizowanym wydaniem wyczerpującego przewodnika po narzędziach analitycznych Pythona. Uwzględnia Pythona 3.0 i bibliotekę pandas 1.4. Została napisana w przystępny sposób, a poszczególne zagadnienia bogato zilustrowano przykładami, studiami rzeczywistych przypadków i fragmentami kodu. W trakcie lektury nauczysz się korzystać z możliwości oferowanych przez pakiety pandas i NumPy, a także środowiska IPython i Jupyter. Nie zabrakło wskazówek dotyczących używania uniwersalnych narzędzi przeznaczonych do ładowania, czyszczenia, przekształcania i łączenia zbiorów danych. Pozycję docenią analitycy zamierzający zacząć pracę w Pythonie, jak również programiści Pythona, którzy chcą się zająć analizą danych i obliczeniami naukowymi. Dzięki książce nauczysz się: eksplorować dane za pomocą powłoki IPython i środowiska Jupyter korzystać z funkcji pakietów NumPy i pandas używać pakietu matplotlib do tworzenia czytelnych wizualizacji analizować i przetwarzać dane regularnych i nieregularne szeregi czasowe rozwiązywać rzeczywiste problemy analityczne Wes McKinney zaktualizował swoją książkę, aby była podstawowym źródłem informacji o wszystkich zagadnieniach związanych z analizą danych przy użyciu języka Python i biblioteki pandas. Gorąco polecam tę pozycję! Paul Barry, wykładowca i autor książek
Python w zadaniach. Programowanie dla młodzieży. Poziom podstawowy
Urszula Wiejak, Adrian Wojciechowski
Opanuj Pythona od strony praktycznej! Poznaj konstrukcje języka Python Naucz się stosować je w praktyce Wykorzystaj standardowe biblioteki Rozwiąż 139 zadań i sprawdź swoje rozwiązania Python to bardzo popularny, wydajny i elastyczny język programowania ogólnego przeznaczenia, którego prosta, czytelna i zwięzła składnia zdobyła uznanie rzesz programistów na całym świecie. Duże możliwości, przenośność kodu, możliwość pisania skryptów - wszystko to sprawia, że Python znajduje zastosowanie w najróżniejszych dziedzinach i wspiera rozwój wielu popularnych serwisów internetowych. Bez wątpienia warto się go nauczyć! Jeśli chcesz poznać ten język, jesteś na dobrej drodze! Książka omawia najważniejsze elementy programowania w Pythonie. Co ważne, wiedza została usystematyzowana w formie konkretnych zadań do wykonania. Poznasz dzięki nim typy danych i składnię języka, dowiesz się, jak debugować programy, nauczysz się korzystać z funkcji oferowanych przez biblioteki i opanujesz podstawy tworzenia graficznych interfejsów użytkownika. To podręcznik przeznaczony dla młodzieży, ale doskonale sprawdzi się również w przypadku osób dorosłych, które rozpoczynają przygodę z programowaniem. Instalowanie oraz konfigurowanie środowiska i niezbędnych narzędzi Podstawowe informacje na temat języka i programowania Typy danych, zmienne proste i tablicowe Operatory, instrukcje warunkowe oraz instrukcje pętli Operacje wejścia-wyjścia w konsoli i na plikach Biblioteki graficzne, dźwiękowe i wideo Korzystanie z funkcji wbudowanych i tworzenie własnych Programowanie obiektowe, obsługa wątków i wyjątków Tworzenie graficznych interfejsów użytkownika Zadania do samodzielnego wykonania i praktyczny projekt gry Poznaj Pythona, rozwiązuj zadania, zostań programistą!
Python w zadaniach. Programowanie dla młodzieży. Poziom podstawowy
Urszula Wiejak, Adrian Wojciechowski
Opanuj Pythona od strony praktycznej! Poznaj konstrukcje języka Python Naucz się stosować je w praktyce Wykorzystaj standardowe biblioteki Rozwiąż 139 zadań i sprawdź swoje rozwiązania Python to bardzo popularny, wydajny i elastyczny język programowania ogólnego przeznaczenia, którego prosta, czytelna i zwięzła składnia zdobyła uznanie rzesz programistów na całym świecie. Duże możliwości, przenośność kodu, możliwość pisania skryptów - wszystko to sprawia, że Python znajduje zastosowanie w najróżniejszych dziedzinach i wspiera rozwój wielu popularnych serwisów internetowych. Bez wątpienia warto się go nauczyć! Jeśli chcesz poznać ten język, jesteś na dobrej drodze! Książka omawia najważniejsze elementy programowania w Pythonie. Co ważne, wiedza została usystematyzowana w formie konkretnych zadań do wykonania. Poznasz dzięki nim typy danych i składnię języka, dowiesz się, jak debugować programy, nauczysz się korzystać z funkcji oferowanych przez biblioteki i opanujesz podstawy tworzenia graficznych interfejsów użytkownika. To podręcznik przeznaczony dla młodzieży, ale doskonale sprawdzi się również w przypadku osób dorosłych, które rozpoczynają przygodę z programowaniem. Instalowanie oraz konfigurowanie środowiska i niezbędnych narzędzi Podstawowe informacje na temat języka i programowania Typy danych, zmienne proste i tablicowe Operatory, instrukcje warunkowe oraz instrukcje pętli Operacje wejścia-wyjścia w konsoli i na plikach Biblioteki graficzne, dźwiękowe i wideo Korzystanie z funkcji wbudowanych i tworzenie własnych Programowanie obiektowe, obsługa wątków i wyjątków Tworzenie graficznych interfejsów użytkownika Zadania do samodzielnego wykonania i praktyczny projekt gry Poznaj Pythona, rozwiązuj zadania, zostań programistą!
Adam Hopkins
Today’s developers need something more powerful and customizable when it comes to web app development. They require effective tools to build something unique to meet their specific needs, and not simply glue a bunch of things together built by others. This is where Sanic comes into the picture. Built to be unopinionated and scalable, Sanic is a next-generation Python framework and server tuned for high performance.This Sanic guide starts by helping you understand Sanic’s purpose, significance, and use cases. You’ll learn how to spot different issues when building web applications, and how to choose, create, and adapt the right solution to meet your requirements. As you progress, you’ll understand how to use listeners, middleware, and background tasks to customize your application. The book will also take you through real-world examples, so you will walk away with practical knowledge and not just code snippets.By the end of this web development book, you’ll have gained the knowledge you need to design, build, and deploy high-performance, scalable, and maintainable web applications with the Sanic framework.
QGIS Python Programming Cookbook. Automating geospatial development - Second Edition
Joel Lawhead
QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. Paired with the most efficient scripting language—Python, we can write effective scripts that extend the core functionality of QGIS. Based on version QGIS 2.18, this book will teach you how to write Python code that works with spatial data to automate geoprocessing tasks in QGIS. It will cover topics such as querying and editing vector data and using raster data. You will also learn to create, edit, and optimize a vector layer for faster queries, reproject a vector layer, reduce the number of vertices in a vector layer without losing critical data, and convert a raster to a vector. Following this, you will work through recipes that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, we’ll also share a few tips and tricks based on different aspects of QGIS.
QGIS Quick Start Guide. A beginner's guide to getting started with QGIS 3.4
Andrew Cutts
QGIS is a user friendly, open source geographic information system (GIS). The popularity of open source GIS and QGIS, in particular, has been growing rapidly over the last few years. This book is designed to help beginners learn about all the tools required to use QGIS 3.4.This book will provide you with clear, step-by-step instructions to help you apply your GIS knowledge to QGIS. You begin with an overview of QGIS 3.4 and its installation. You will learn how to load existing spatial data and create vector data from scratch. You will then be creating styles and labels for maps. The final two chapters demonstrate the Processing toolbox and include a brief investigation on how to extend QGIS. Throughout this book, we will be using the GeoPackage format, and we will also discuss how QGIS can support many different types of data.Finally, you will learn where to get help and how to become engaged with the GIS community.
Ben Mearns, Alex Mandel, Alexander Bruy, Anita...
The first module Learning QGIS, Third edition covers the installation and configuration of QGIS. You’ll become a master in data creation and editing, and creating great maps. By the end of this module, you’ll be able to extend QGIS with Python, getting in-depth with developing custom tools for the Processing Toolbox. The second module QGIS Blueprints gives you an overview of the application types and the technical aspects along with few examples from the digital humanities. After estimating unknown values using interpolation methods and demonstrating visualization and analytical techniques, the module ends by creating an editable and data-rich map for the discovery of community information. The third module QGIS 2 Cookbook covers data input and output with special instructions for trickier formats. Later, we dive into exploring data, data management, and preprocessing steps to cut your data to just the important areas. At the end of this module, you will dive into the methods for analyzing routes and networks, and learn how to take QGIS beyond the out-of-the-box features with plug-ins, customization, and add-on tools. 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: ? Learning QGIS, Third Edition by Anita Graser ? QGIS Blueprints by Ben Mearns ? QGIS 2 Cookbook by Alex Mandel, Víctor Olaya Ferrero, Anita Graser, Alexander Bruy
Miguel Garc?É?íÂ!!=a, Barry Harmsen, Miguel Angel Garcia
Business Intelligence technologies are a must-have in every business to make informed decisions and keep up-to speed with the ever-evolving markets. QlikView's disruptive technology makes it a key player and leader in the industry; with its flexibility and powerful analytics environment, building QlikView apps can be mastered by both, business users as well as developers.This book will help you learn QlikView Development from a basic to a practitioner level using a step-by-step approach in a practical environment, and apply proven best practices on each topic.Throughout the book, we will build a QlikView app based on real data about Airline Operations that will help HighCloud Airlines make informed business decisions and analysis-guided strategies. HighCloud Airlines executives are evaluating if entering the US market is a good strategy and, if so, which line of business should they focus their investments on; they need QlikView to make the best decision.The application will be evolving chapter by chapter, along with your skills, going from a simple proof of concept to creating a Data Model, adding a custom style, building a Dashboard and handling and manipulating the source data via script. We will meet the HighCloud Airlines requirement by using many different data visualization objects and time-saving techniques.The whole application uses real data taken from the Bureau of Transportations statistics of the US and encompasses the operations of Airlines both domestic and international. With three years worth of data, you will help HighCloud Airlines discover where people travel the most, which are the Carriers with the most market share, what is the average load factor per airline, which aircraft is the most used to perform flights, which are the busiest airports, and a whole universe of new insights.
Miguel Angel Garcia, Barry Harmsen, Stephen Redmond,...
QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations.Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources.With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro.This Learning Path includes content from the following Packt products:• QlikView for Developers by Miguel Ángel García, Barry Harmsen • Mastering QlikView by Stephen Redmond • Mastering QlikView Data Visualization by Karl Pover
Chandraish Sinha
This guide demonstrates just how easy it is to get started with QlikView and create your own BI application. Featuring an introduction to its core features before exploring how to load data and model it, you’ll soon become more confident that you can take full advantage of QlikView’s capabilities.. You will also learn how to use QVD files with QlikView – and how they offer a simpler way of handling data.After digging deeper into data handling, as you learn how to use mapping tables and create a master calendar, you’ll then find out how to get the most from QlikView’s visualization features – vital if you are to use your data insights effectively. From accessible and user friendly dashboards to strategies and best practices for subjecting data to further analysis, you can be confident that you’ll be prepared to get the most out of your data with QlikView.With details on how to finally secure your application and deploy it for a successful integration in your organization, QlikView Essentials underlines exactly why QlikView is becoming more and more popular for businesses that understand the value of data.
QlikView for Developers. Design and build scalable and maintainable BI solutions
Miguel Angel Garcia, Barry Harmsen
QlikView is one of the most flexible and powerful Business Intelligence platforms around. If you want to build data into your organization, build it around QlikView. Don't get caught in the gap between data and knowledge – find out how QlikView can help you unlock insights and data potential with ease. Whether you're new to QlikView or want to get up to speed with the features and functionality of QlikView, this book starts at a basic level and delves more deeply to demonstrate how to make QlikView work for you, and make it meet the needs of your organization. Using a real-world use-case to highlight the extensive impact of effective business analytics, this book might well be your silver bullet for success.A superb hands-on guide to get you started by exploring the fundamentals of QlikView before learning how to successfully implement it, technically and strategically. You'll learn valuable tips, tricks, and insightful information on loading different types of data into QlikView, and how to model it effectively.You will also learn how to write useful scripts for QlikView to handle potentially complex data transformations in a way that is simple and elegant. From ensuring consistency and clarity in your data models, to techniques for managing expressions using variables, this book makes sure that your QlikView projects are organized in a way that's most productive for you and key stakeholders.
QlikView for Developers. Design and build scalable and maintainable BI solutions
Miguel Angel Garcia, Barry Harmsen
QlikView is one of the most flexible and powerful Business Intelligence platforms around. If you want to build data into your organization, build it around QlikView. Don't get caught in the gap between data and knowledge – find out how QlikView can help you unlock insights and data potential with ease. Whether you're new to QlikView or want to get up to speed with the features and functionality of QlikView, this book starts at a basic level and delves more deeply to demonstrate how to make QlikView work for you, and make it meet the needs of your organization. Using a real-world use-case to highlight the extensive impact of effective business analytics, this book might well be your silver bullet for success.A superb hands-on guide to get you started by exploring the fundamentals of QlikView before learning how to successfully implement it, technically and strategically. You'll learn valuable tips, tricks, and insightful information on loading different types of data into QlikView, and how to model it effectively.You will also learn how to write useful scripts for QlikView to handle potentially complex data transformations in a way that is simple and elegant. From ensuring consistency and clarity in your data models, to techniques for managing expressions using variables, this book makes sure that your QlikView projects are organized in a way that's most productive for you and key stakeholders.
QlikView Unlocked. Unlock more than 50 amazing tips and tricks to enhance your QlikView skills
Andrew Dove, Roger Stone
QlikView Unlocked will provide you with new insights to get the very best from QlikView. This book will help you to develop skills to work with data efficiently. We will cover all the secrets of unleashing the full power of QlikView, which will enable you to make better use of the tool and create better results for future projects. In the course of this book, we will walk you through techniques and best practices that will enable you to be more productive. You will gain quick insights into the tool with the help of short steps called ”keys,” which will help you discover new features of QlikView. Moving on you will learn new techniques for data visualization, scripting, data modeling, and more. This book will then cover best practices to help you establish an efficient system with improved performance. We will also teach you some tricks that will help you speed up development processes, monitor data with dashboards, and so on.By the end of this book, you will have gained beneficial tips, tricks, and techniques to enhance the overall experience of working with QlikView.
Kyle Wheeler, Daniel Bernstein
This book starts with setting up a qmail server and takes you through virtualization, filtering, and other advanced features like hosting multiple domains, mailing lists, and SSL Encryption. Finally, it discusses the log files and how to make qmail work faster.Qmail is a secure, reliable, efficient, simple message transfer agent. It is designed for typical Internet-connected UNIX hosts. Qmail is the second most common SMTP server on the Internet, and has by far the fastest growth of any SMTP server. Qmail's straight-paper-path philosophy guarantees that a message, once accepted into the system, will never be lost. Qmail also optionally supports maildir, a new, super-reliable user mailbox format.
qooxdoo Beginner's Guide. Develop Rich Internet Applications (RIA) with Qooxdoo1.4
Qooxdoo, Mohamed Raffi, Rajesh Kumar Bachu, S...
Over the past few years, all the major internet or enterprise applications are developed or migrated to Rich Internet Application to support all the features that are provided in the desktop applications. This helps organizations keep the end users happy and also improves application deployment and maintenance. qooxdoo is a stable, open source RIA framework. If you are waiting and watching for the right time to migrate your application to qooxdoo, this is the right time!This book explains in detail about the rich user interface development in qooxdoo. It explains various concepts of qooxdoo framework in an easy to grasp and organized way, making it simple even for a novice in qooxdoo and also increases the competency level of the developer who is already working in qooxdoo.This book helps developers understand the qooxdoo framework, setup the environment, and start the development of RIA using qooxdoo. You will learn the core programming techniques in qooxdoo, user interface development in qooxdoo, testing & debugging qooxdoo applications, internationalization of qooxdoo applications to multiple languages, customizing the look and feel of qooxdoo applications using Themes, Performance management, etc.In the course of the book, we develop a complete application which will help the developer to understand the concepts better and to put things together to see the step-by-step progress to complete an application. By the end, this book will get the developer accustomed to the widgets and API available in the qooxdoo framework, and will enable him to design, develop, debug, and test the RIA in qooxdoo.
Lee Zhi Eng
With the growing need to develop GUIs for multiple targets and multiple screens, improving the visual quality of your application has become pivotal in helping it stand out from your competitors. With its cross-platform ability and the latest UI paradigms, Qt makes it possible to build intuitive, interactive, and user-friendly UIs for your applications.The third edition of Qt 6 C++ GUI Programming Cookbook teaches you how to develop functional and appealing UIs using the latest version of Qt 6 and C++. This book will help you learn a variety of topics such as GUI customization and animation, graphics rendering, and implementing Google Maps. You’ll also be taken through advanced concepts such as asynchronous programming, event handling using signals and slots, network programming, and other aspects to optimize your application.By the end of this Qt book, you’ll have the confidence you need to design and customize GUI applications that meet your clients' expectations and have an understanding of best-practice solutions to common problems during the app development process.
Alex Khan, Matthew R. Versaggi
Amazon Braket is a cloud-based pay-per-use platform for executing quantum algorithms on cutting-edge quantum computers and simulators. It is ideal for developing robust apps with the latest quantum devices.With this book, you'll take a hands-on approach to learning how to take real-world problems and run them on quantum devices. You'll begin with an introduction to the Amazon Braket platform and learn about the devices currently available on the platform, their benefits, and their purpose. Then, you'll review key quantum concepts and algorithms critical to converting real-world problems into a quantum circuit or binary quadratic model based on the appropriate device and its capability. The book also covers various optimization use cases, along with an explanation of the code. Finally, you'll work with a framework using code examples that will help to solve your use cases with quantum and quantum-inspired technologies. Later chapters cover custom-built functions and include almost 200 figures and diagrams to visualize key concepts. You’ll be able to scan the capabilities provided by Amazon Braket and explore the functions to adapt them for specific use cases.By the end of this book, you’ll have the tools to integrate your current business apps and AWS data with Amazon Braket to solve constrained and multi-objective optimization problems.
Hassi Norlen
IBM Quantum Experience® is a leading platform for programming quantum computers and implementing quantum solutions directly on the cloud. This book will help you get up to speed with programming quantum computers and provide solutions to the most common problems and challenges.You’ll start with a high-level overview of IBM Quantum Experience® and Qiskit®, where you will perform the installation while writing some basic quantum programs. This introduction puts less emphasis on the theoretical framework and more emphasis on recent developments such as Shor’s algorithm and Grover’s algorithm. Next, you’ll delve into Qiskit®, a quantum information science toolkit, and its constituent packages such as Terra, Aer, Ignis, and Aqua. You’ll cover these packages in detail, exploring their benefits and use cases. Later, you’ll discover various quantum gates that Qiskit® offers and even deconstruct a quantum program with their help, before going on to compare Noisy Intermediate-Scale Quantum (NISQ) and Universal Fault-Tolerant quantum computing using simulators and actual hardware. Finally, you’ll explore quantum algorithms and understand how they differ from classical algorithms, along with learning how to use pre-packaged algorithms in Qiskit® Aqua.By the end of this quantum computing book, you’ll be able to build and execute your own quantum programs using IBM Quantum Experience® and Qiskit® with Python.
Quantum GIS. Tworzenie i analiza map
Bartłomiej Iwańczak
Twórz mapy i wykorzystuj je do swoich celów! Współczesny świat stawia przed nami wiele wyzwań. Nieustannie się dokształcamy, poznajemy nowe obszary wiedzy. Uczymy się wykorzystywać je do własnych celów. Coraz rzadziej zwracamy się do profesjonalistów z problemami, gdyż dzięki technologii jesteśmy w stanie poradzić sobie sami. Odkrywamy przy tym mnóstwo nowych, inspirujących aspektów życia. Dzięki tej książce można opanować podstawy bardzo przydatnej, choć do tej pory specjalistycznej dziedziny - kartografii i analizy danych przestrzennych. W dodatku bez dodatkowych kosztów - w darmowym, intuicyjnym programie Quantum GIS. Mapy potrzebne są wszystkim, nie tylko geografom! Jeśli pracujesz jako informatyk, logistyk, marketingowiec, dziennikarz, urzędnik czy architekt, prędzej czy później zechcesz przedstawić zgromadzone informacje w sposób wizualny, najlepiej na mapie. Dzięki tej książce bez większego trudu, a nawet z przyjemnością opanujesz zasady rysowania mapy, nanoszenia na nią obiektów według danych zawartych w tabeli, wyświetlania tych informacji, które są Ci potrzebne. Dowiesz się, jak planować trasę przewozu towarów, jak sprytnie policzyć budynki w każdej dzielnicy miasta czy jak najefektywniej rozsyłać ofertę handlową. Nauczysz się dowolnie zmieniać wygląd map, przekształcać je w obrazy i drukować lub umieszczać w Internecie. Nie jest to zwyczajny podręcznik. Wraz z tą książką będziesz krok po kroku zdobywać nowe umiejętności. Towarzyszyć Ci będzie młoda dziewczyna, Ula. Niejeden raz podsunie Ci użyteczną wskazówkę albo podpowie, co warto zapamiętać. Dzięki atrakcyjnej formie graficznej i ponad 300 ilustracjom zawsze zorientujesz się, gdzie w programie można znaleźć odpowiednie narzędzie. Analiza danych przestrzennych nie będzie miała dla Ciebie żadnych tajemnic. Do dzieła! Dzięki tej książce: ogarniesz wzrokiem przestrzeń i stworzysz mapę z Quantum GIS, poznasz serce współczesnej mapy w komputerze, zwiększysz użyteczność działania z pomocą narzędzi analitycznych QGIS. Odkryj dla siebie nową przestrzeń!
Quick Start Kubernetes. A Beginner's Guide to Container Orchestration in the Cloud - Third Edition
Nigel Poulton
This book is the backbone of modern cloud-native application deployment, but its complexity can be daunting for beginners. This book provides a practical and approachable guide to mastering Kubernetes, starting with fundamental concepts like microservices, orchestration, and cloud-native development. Readers will explore Kubernetes architecture, including control planes, worker nodes, and hosted solutions.Step-by-step instructions guide readers through setting up Kubernetes clusters on local and cloud platforms, containerizing applications, and pushing images to registries. Learn how to deploy containerized applications, connect them via services, and enable self-healing to ensure resilience.As you advance, discover how to scale applications dynamically, perform rolling updates for zero-downtime deployments, and troubleshoot real-world issues. The book concludes with resources for further learning, empowering readers to confidently manage Kubernetes environments in DevOps or cloud-native roles. Perfect for beginners, this hands-on guide simplifies Kubernetes for practical use.
R: Data Analysis and Visualization. Click here to enter text
Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi...
The R learning path created for you has five connected modules, which are a mini-course in their own right. As you complete each one, you'll have gained key skills and be ready for the material in the next module!This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough understanding of statistical reasoning and sampling. Finally, you'll be able to put best practices into effect to make your job easier and facilitate reproducibility.The second place to explore is R Graphs, which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. You'll learn how to produce, customize, and publish advanced visualizations using this popular and powerful framework.With the third module, Learning Data Mining with R, you will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs.The Mastering R for Quantitative Finance module pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the module, you will be well-versed with various financial techniques using R and will be able to place good bets while making financial decisions.Finally, we'll look at the Machine Learning with R module. With this module, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. You'll also learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, and so on.
R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
Andrea Cirillo
R is widely used to leverage data mining techniques across many different industries, including finance, medicine, scientific research, and more. This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R.It will let you gain these powerful skills while immersing in a one of a kind data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques. While moving along the plot of the story you will effectively learn and practice on real data the various R packages commonly employed for this kind of tasks. You will also get the chance of apply some of the most popular and effective data mining models and algos, from the basic multiple linear regression to the most advanced Support Vector Machines. Unlike other data mining learning instruments, this book will effectively expose you the theory behind these models, their relevant assumptions and when they can be applied to the data you are facing. By the end of the book you will hold a new and powerful toolbox of instruments, exactly knowing when and how to employ each of them to solve your data mining problems and get the most out of your data.Finally, to let you maximize the exposure to the concepts described and the learning process, the book comes packed with a reproducible bundle of commented R scripts and a practical set of data mining models cheat sheets.
R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
PKS Prakash, Achyutuni Sri Krishna Rao
Deep Learning is the next big thing. It is a part of machine learning. It's favorable results in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians. This book will help you to get through the problems that you face during the execution of different tasks and Understand hacks in deep learning, neural networks, and advanced machine learning techniques. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance.By the end of the book, you will have a logical understanding of Deep learning and different deep learning packages to have the most appropriate solutions for your problems.