Programowanie

Distributed Computing in Java 9. Leverage the latest features of Java 9 for distributed computing

Raja Malleswara Rao Malleswara Rao Pattamsetti

Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9.After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.

Distributed Computing in Java 9. Leverage the latest features of Java 9 for distributed computing

Raja Malleswara Rao Malleswara Rao Pattamsetti

Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9.After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.

Distributed Computing with Go. Practical concurrency and parallelism for Go applications

V.N. Nikhil Anurag, Jinzhu Zhang, Pankaj Khairnar

Distributed Computing with Go gives developers with a good idea how basic Go development works the tools to fulfill the true potential of Golang development in a world of concurrent web and cloud applications. Nikhil starts out by setting up a professional Go development environment. Then you’ll learn the basic concepts and practices of Golang concurrent and parallel development. You’ll find out in the new few chapters how to balance resources and data with REST and standard web approaches while keeping concurrency in mind. Most Go applications these days will run in a data center or on the cloud, which is a condition upon which the next chapter depends. There, you’ll expand your skills considerably by writing a distributed document indexing system during the next two chapters. This system has to balance a large corpus of documents with considerable analytical demands. Another use case is the way in which a web application written in Go can be consciously redesigned to take distributed features into account. The chapter is rather interesting for Go developers who have to migrate existing Go applications to computationally and memory-intensive environments. The final chapter relates to the rather onerous task of testing parallel and distributed applications, something that is not usually taught in standard computer science curricula.

Distributed Computing with Python. Harness the power of multiple computers using Python through this fast-paced informative guide

Francesco Pierfederici

CPU-intensive data processing tasks have become crucial considering the complexity of the various big data applications that are used today. Reducing the CPU utilization per process is very important to improve the overall speed of applications.This book will teach you how to perform parallel execution of computations by distributing them across multiple processors in a single machine, thus improving the overall performance of a big data processing task. We will cover synchronous and asynchronous models, shared memory and file systems, communication between various processes, synchronization, and more.

Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines

Alan Bernardo Palacio

Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models. Databricks' advanced features enable developers to process, transform, and explore data. Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time. Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you’ll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you’ll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks. Finally, you’ll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines. By the end of this MS Azure book, you’ll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline.

Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines

Alan Bernardo Palacio

Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models. Databricks' advanced features enable developers to process, transform, and explore data. Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time. Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you’ll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you’ll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks. Finally, you’ll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines. By the end of this MS Azure book, you’ll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline.

Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems

Guanhua Wang

Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the end of this book, you'll have gained the knowledge and skills needed to build and deploy an efficient data processing pipeline for machine learning model training and inference in a distributed manner.

Distributed .NET with Microsoft Orleans. Build robust and highly scalable distributed applications without worrying about complex programming patterns

Bhupesh Guptha Muthiyalu, Suneel Kumar Kunani

Building distributed applications in this modern era can be a tedious task as customers expect high availability, high performance, and improved resilience. With the help of this book, you'll discover how you can harness the power of Microsoft Orleans to build impressive distributed applications.Distributed .NET with Microsoft Orleans will demonstrate how to leverage Orleans to build highly scalable distributed applications step by step in the least possible time and with minimum effort. You'll explore some of the key concepts of Microsoft Orleans, including the Orleans programming model, runtime, virtual actors, hosting, and deployment. As you advance, you'll become well-versed with important Orleans assets such as grains, silos, timers, and persistence. Throughout the book, you'll create a distributed application by adding key components to the application as you progress through each chapter and explore them in detail.By the end of this book, you'll have developed the confidence and skills required to build distributed applications using Microsoft Orleans and deploy them in Microsoft Azure.

Distributed .NET with Microsoft Orleans. Build robust and highly scalable distributed applications without worrying about complex programming patterns

Bhupesh Guptha Muthiyalu, Suneel Kumar Kunani

Building distributed applications in this modern era can be a tedious task as customers expect high availability, high performance, and improved resilience. With the help of this book, you'll discover how you can harness the power of Microsoft Orleans to build impressive distributed applications.Distributed .NET with Microsoft Orleans will demonstrate how to leverage Orleans to build highly scalable distributed applications step by step in the least possible time and with minimum effort. You'll explore some of the key concepts of Microsoft Orleans, including the Orleans programming model, runtime, virtual actors, hosting, and deployment. As you advance, you'll become well-versed with important Orleans assets such as grains, silos, timers, and persistence. Throughout the book, you'll create a distributed application by adding key components to the application as you progress through each chapter and explore them in detail.By the end of this book, you'll have developed the confidence and skills required to build distributed applications using Microsoft Orleans and deploy them in Microsoft Azure.

Distributed .NET with Microsoft Orleans. Build robust and highly scalable distributed applications without worrying about complex programming patterns

Bhupesh Guptha Muthiyalu, Suneel Kumar Kunani

Building distributed applications in this modern era can be a tedious task as customers expect high availability, high performance, and improved resilience. With the help of this book, you'll discover how you can harness the power of Microsoft Orleans to build impressive distributed applications.Distributed .NET with Microsoft Orleans will demonstrate how to leverage Orleans to build highly scalable distributed applications step by step in the least possible time and with minimum effort. You'll explore some of the key concepts of Microsoft Orleans, including the Orleans programming model, runtime, virtual actors, hosting, and deployment. As you advance, you'll become well-versed with important Orleans assets such as grains, silos, timers, and persistence. Throughout the book, you'll create a distributed application by adding key components to the application as you progress through each chapter and explore them in detail.By the end of this book, you'll have developed the confidence and skills required to build distributed applications using Microsoft Orleans and deploy them in Microsoft Azure.

Django 1.0 Template Development. A practical guide to Django template development with custom tags, filters, multiple templates, caching, and more

Scott Newman

This book is designed for readers who learn by doing and employs many examples and screenshots to let the reader dig in and start coding. This book isn't designed to be a reference; instead it has a practical, example-driven approach that teaches you by following along with the examples in the chapters. When you have completed this book, you will fully understand how the template system works, how to extend it when you have specialized needs, and how to optimize the performance and usability of your content. This book is for web developers and template authors who want to fully understand and utilize the Django template system. The reader should have completed the introductory tutorials on the Django project's website and some experience with the framework will be very helpful. Basic knowledge of Python and HTML is assumed.

Django 2 by Example. Build powerful and reliable Python web applications from scratch

Antonio Melé

If you want to learn the entire process of developing professional web applications with Django 2, then this book is for you. You will walk through the creation of four professional Django 2 projects, teaching you how to solve common problems and implement best practices.You will learn how to build a blog application, a social image bookmarking website, an online shop and an e-learning platform. The book will teach you how to enhance your applications with AJAX, create RESTful APIs and set up a production environment for your Django 2 projects. The book walks you through the creation of real-world applications, solving common problems, and implementing best practices. By the end of this book, you will have a deep understanding of Django 2 and how to build advanced web applications.

Django 2. Praktyczne tworzenie aplikacji sieciowych. Wydanie II

Antonio Mele

Django jest frameworkiem do budowy profesjonalnych aplikacji sieciowych w języku Python. Cieszy się zasłużoną opinią potężnego narzędzia, którego można się szybko nauczyć. Spodoba się każdemu, kto ceni prostotę użytkowania i pragmatyczne podejście do projektowania. Z pewnością Django jest atrakcyjnym rozwiązaniem dla programistów, którzy profesjonalnie podchodzą do tworzenia aplikacji WWW i stawiają na niezawodność. To drugie, zaktualizowane i uzupełnione wydanie cenionego podręcznika pisania aplikacji sieciowych w Django. Krok po kroku pokazano w nim pełny proces tworzenia oprogramowania, od pierwszych linii kodu po wdrożenie, z akcentem na praktyczną stronę pracy dewelopera. Nie tylko zaprezentowano technikę pracy z frameworkiem, ale też opisano zasady integrowania innych popularnych technologii z projektami Django. Książka pozwala również zapoznać się z metodami rozwiązywania typowych problemów z implementacją, a także - w sposób naturalny, niejako mimochodem - nauczyć się najlepszych praktyk programistycznych z wykorzystaniem łatwych do powielenia procedur. Najważniejsze zagadnienia omówione w książce: wprowadzenie do frameworka i tworzenie praktycznego projektu aplikacji implementacja zaawansowanych funkcji aplikacji sieciowych tworzenie modelu użytkownika i zintegrowane uwierzytelnianie praca z innymi technologiami, w tym zarządzanie płatnościami tłumaczenie aplikacji na wiele języków API typu RESTful Django - dla tych, którzy chcą mieć świetne wyniki!

Django 2 Web Development Cookbook. 100 practical recipes on building scalable Python web apps with Django 2 - Third Edition

Jake Kronika, Aidas Bendoraitis

Django is a framework designed to balance rapid web development with high performance. It handles high levels of user traffic and interaction, integrates with a variety of databases, and collects and processes data in real time. This book follows a task-based approach to guide you through developing with the Django 2.1 framework, starting with setting up and configuring Docker containers and a virtual environment for your project.You'll learn how to write reusable pieces of code for your models and manage database changes. You'll work with forms and views to enter and list data, applying practical examples using templates and JavaScript together for the optimum user experience. This cookbook helps you to adjust the built-in Django administration to fit your needs and sharpen security and performance to make your web applications as robust, scalable, and dependable as possible. You'll also explore integration with Django CMS, the popular content management suite.In the final chapters, you'll learn programming and debugging tricks and discover how collecting data from different sources and providing it to others in various formats can be a breeze. By the end of the book, you'll learn how to test and deploy projects to a remote dedicated server and scale your application to meet user demands.

Django 3 By Example. Build powerful and reliable Python web applications from scratch - Third Edition

Antonio Melé

If you want to learn the entire process of developing professional web applications with Python and Django, then this book is for you. In the process of building four professional Django projects, you will learn about Django 3 features, how to solve common web development problems, how to implement best practices, and how to successfully deploy your applications. In this book, you will build a blog application, a social image bookmarking website, an online shop, and an e-learning platform. Step-by-step guidance will teach you how to integrate popular technologies, enhance your applications with AJAX, create RESTful APIs, and set up a production environment for your Django projects. By the end of this book, you will have mastered Django 3 by building advanced web applications.

Django 3. Praktyczne tworzenie aplikacji sieciowych. Wydanie III

Antonio Melé

Twórz od podstaw rozbudowane i niezawodne aplikacje webowe w Pythonie Django jest potężnym frameworkiem służącym do tworzenia aplikacji internetowych w Pythonie. Pozwala na pełne wykorzystywanie zalet tego języka, takich jak przejrzystość, elastyczność, wszechstronność i łatwość uczenia się. Wykorzystywanie Django do budowania aplikacji w Pythonie jest atrakcyjną możliwością zarówno dla początkujących, jak i zaawansowanych programistów. Aby jednak zapewnić tworzonym projektom odpowiednią, profesjonalną jakość, trzeba się nauczyć rozwiązywać problemy powstające podczas tworzenia aplikacji internetowych, stosować najlepsze praktyki programistyczne, a także skutecznie wdrażać i testować aplikację. To trzecie wydanie praktycznego przewodnika po budowie aplikacji internetowych. Krok po kroku opisano w nim wszystkie istotne elementy procesu projektowania i wdrażania aplikacji: bloga, witryny społecznościowej, sklepu internetowego oraz platformy e-learningowej. Zawarte tu szczegółowe wskazówki pomogą integrować popularne technologie, usprawniać aplikacje z wykorzystaniem technik AJAX, tworzyć API REST oraz konfigurować środowisko produkcyjne dla projektów Django. Dzięki tej książce niepostrzeżenie opanujesz najistotniejsze zasady pracy w Django - i czym prędzej zaczniesz od podstaw budować praktyczne projekty. Nowością w tym wydaniu jest rozdział poświęcony projektowaniu serwera czatu z wykorzystaniem serwera Django Channels. W tej książce: praktyczna strona projektowania aplikacji internetowych podstawy Django, w tym ORM, szablony, adresy URL, formularze i uwierzytelnianie funkcje zaawansowane: niestandardowe pola modelu i oprogramowanie pośredniczące wykorzystanie technik AJAX, system płatności, CMS, API RESTful integracja projektu z takimi technologiami jak Redis, RabbitMQ, PostgreSQL i Channels wdrażanie projektów Django za pomocą NGINX, uWSGI i Daphne Django - wypróbowany framework dla profesjonalnych projektantów!

Django 3 Web Development Cookbook. Actionable solutions to common problems in Python web development - Fourth Edition

Aidas Bendoraitis, Jake Kronika

Django is a web framework for perfectionists with deadlines, designed to help you build manageable medium and large web projects in a short time span. This fourth edition of the Django Web Development Cookbook is updated with Django 3's latest features to guide you effectively through the development process.This Django book starts by helping you create a virtual environment and project structure for building Python web apps. You'll learn how to build models, views, forms, and templates for your web apps and then integrate JavaScript in your Django apps to add more features. As you advance, you'll create responsive multilingual websites, ready to be shared on social networks. The book will take you through uploading and processing images, rendering data in HTML5, PDF, and Excel, using and creating APIs, and navigating different data types in Django. You'll become well-versed in security best practices and caching techniques to enhance your website's security and speed. This edition not only helps you work with the PostgreSQL database but also the MySQL database. You'll also discover advanced recipes for using Django with Docker and Ansible in development, staging, and production environments.By the end of this book, you will have become proficient in using Django's powerful features and will be equipped to create robust websites.

Django 4 for the Impatient. Learn the core concepts of Python web development with Django in one weekend

Greg Lim, Daniel Correa

Learning Django can be a tricky and time-consuming activity. There are hundreds of tutorials, loads of documentation, and many explanations that are hard to digest. However, this book enables you to use and learn Django in just a couple of days.In this book, you’ll go on a fun, hands-on, and pragmatic journey to learn Django full stack development. You'll start building your first Django app within minutes. You'll be provided with short explanations and a practical approach that cover some of the most important Django features, such as Django Apps’ structure, URLs, views, templates, models, CSS inclusion, image storage, authentication and authorization, Django admin panel, and many more. You'll also use Django to develop a movies review app and deploy it to the internet.By the end of this book, you'll be able to build and deploy your own Django web applications.

Django 4. Praktyczne tworzenie aplikacji sieciowych. Wydanie IV

Antonio Melé

Django służy do tworzenia aplikacji internetowych w Pythonie. Pozwala w pełni skorzystać z zalet tego języka, a przy tym jest łatwy do nauki. Praca z Django jest atrakcyjna dla programistów o różnym stopniu zaawansowania, co potwierdzają badania ankietowe serwisu Stack Overflow. Aby zapewnić swoim aplikacjom odpowiednią jakość, trzeba poznać sposób działania Django, stosować najlepsze praktyki, a także skutecznie wdrażać i testować aplikację. Być może Django jest dla Ciebie zupełną nowością, a może posiadasz już pewną wiedzę na jego temat i chcesz wycisnąć z niego jak najwięcej ― czwarte wydanie poświęconego mu podręcznika pomoże Ci opanować kluczowe umiejętności związane z obsługą tego frameworka. Pokazano tu techniki tworzenia kilku różnorodnych projektów, opisano przy tym krok po kroku wszystkie istotne etapy procesu rozwijania i wdrażania aplikacji bloga, serwisu społecznościowego, aplikacji e-commerce i platformy e-learningowej. Dowiesz się też, jak pomyślnie zastosować w swoich projektach takie technologie jak PostgreSQL, Redis, Celery, RabbitMQ i Memcached. Lektura przygotuje Cię do tego, co najistotniejsze podczas pracy z Django: budowania od podstaw poprawnie działających aplikacji. Jeśli programujesz w Pythonie i znasz przynajmniej w stopniu podstawowym HTML i JavaScript ― to propozycja dla Ciebie. W książce: podstawy Django, w tym modele, ORM, widoki, szablony, adresy URL, formularze, uwierzytelnianie, sygnały i oprogramowanie middleware integracja projektu aplikacji Django z zewnętrznym oprogramowaniem tworzenie aplikacji asynchronicznych (ASGI) konfiguracja środowiska produkcyjnego tworzenie złożonych aplikacji webowych i rozwiązywanie praktycznych problemów Django: wypróbowany framework dla perfekcjonistów z napiętymi terminami!

Django 5 for the Impatient. Learn the core concepts of Django to develop Python web applications - Second Edition

Daniel Correa, Greg Lim

Learning Django can be a challenging and time-consuming activity without the right guidance. With hundreds of tutorials, loads of documentation, and unclear explanations out there, it’s easy to lose sight of what’s most important. This book stands out by teaching you how to use Django in just a few days with a focused approach. In this second edition, you’ll go on a fun, practical, and pragmatic journey to learning full-stack development with Django 5. You’ll start building your first Django app within minutes. As you progress, you’ll learn from concise explanations that will help you get to grips with some of the most important Django features, including URLs, views, templates, models, CSS inclusion, image storage, Django admin panel, and more. You’ll also understand how to design Django MVT (Model-View-Template) architectures and implement them. Additionally, you’ll use Django to develop a movie store application and deploy it to the internet.By the end of this book, you’ll be able to build and deploy your own Django web applications confidently.

Django 5. Praktyczne tworzenie aplikacji internetowych w Pythonie. Wydanie V

Antonio Melé

Django pozwala na pełne wykorzystanie zalet Pythona, a przy tym jest bardzo przyjemny w pracy. Dzięki niemu programiści na różnym poziomie zaawansowania mogą efektywnie tworzyć aplikacje internetowe. W corocznej ankiecie dla programistów serwisu Stack Overflow od kilku lat Django jest wybierany jako jeden z najbardziej lubianych frameworków webowych. To piąte, zaktualizowane i uzupełnione wydanie bestsellerowego przewodnika po tworzeniu aplikacji internetowych za pomocą Django. Pokazano tu proces planowania i budowy atrakcyjnych aplikacji, rozwiązywania typowych problemów i implementacji najlepszych praktyk programistycznych. Podczas tworzenia aplikacji, takich jak blog, serwis społecznościowy, aplikacja e-commerce i platforma e-learningowa, zapoznasz się z szerokim zakresem zagadnień związanych z tworzeniem złożonych aplikacji internetowych w Pythonie. Krok po kroku, dzięki szczegółowym planom projektów, dowiesz się, jakie korzyści niesie ze sobą praca z Django 5, i zrozumiesz zasady tworzenia aplikacji przy użyciu tego frameworka. W książce: podstawy Django, w tym modele, ORM, widoki, szablony, adresy URL, formularze, uwierzytelnianie, sygnały i warstwy middleware integracja projektu aplikacji Django z zewnętrznym oprogramowaniem praca z Redis, PostgreSQL, Celery, RabbitMQ i Memcached konfiguracja środowiska produkcyjnego za pomocą Docker Compose budowa RESTful API za pomocą Django Rest Framework implementacja zaawansowanych funkcji i tworzenie ASGI Django 5. Ciesz się doskonałością swoich aplikacji!

Django. Ćwiczenia praktyczne

Piotr Maliński

Wykorzystaj możliwości Django w swoim projekcie! Jak zainstalować Django? Jak skonfigurować framework i dopasować go do swoich potrzeb? Jak uruchomić Django na Google App Engine? Django nie jest kolejnym frameworkiem napisanym w języku PHP. To elitarne rozwiązanie, wykorzystujące język Python, oparte na wzorcu projektowym MVC. Pierwotnie Django zostało opracowane z myślą o stronach "prasowych", z dużą ilością newsów. Pierwsza publiczna wersja ujrzała światło dzienne w 2005 roku. Od tego czasu Django odnotowuje ciągły wzrost popularności, a wachlarz jego zastosowań znacznie się rozrósł! Dzięki tej książce również Ty będziesz mógł wykorzystać ten framework w swoim projekcie! Sprawdzona formuła książki, kładąca nacisk na ćwiczenia, pozwoli Ci błyskawicznie opanować sposób instalacji oraz stworzyć i skonfigurować Twój własny projekt. Dowiesz się także, jak obsłużyć błędy oraz kanały RSS czy też wygenerować pliki PDF. Ponadto nauczysz się konfigurować serwery Apache 2 oraz Nginx. Ćwiczenia zawarte w tej książce pozwolą Ci szybko i przyjemnie wdrożyć Django w Twoim projekcie aplikacji WWW! Sposób instalacji Django Tworzenie nowego projektu Konfiguracja projektu Wykorzystanie panelu administracyjnego Mapowanie widoków Obsługa formularzy Reagowanie na błędy Udostępnienie kanału RSS Generowanie plików PDF Zasady konfiguracji serwera Apache 2 z mod_python Konfiguracja serwera Nginx Przegląd firm oferujących hosting z obsługą Pythona Django i Google App Engine Stwórz wydajną i przyjemną w zarządzaniu witrynę WWW!

Django Design Patterns and Best Practices. Industry-standard web development techniques and solutions using Python - Second Edition

Arun Ravindran

Building secure and maintainable web applications requires comprehensive knowledge. The second edition of this book not only sheds light on Django, but also encapsulates years of experience in the form of design patterns and best practices. Rather than sticking to GoF design patterns, the book looks at higher-level patterns. Using the latest version of Django and Python, you’ll learn about Channels and asyncio while building a solid conceptual background. The book compares design choices to help you make everyday decisions faster in a rapidly changing environment.You’ll first learn about various architectural patterns, many of which are used to build Django. You’ll start with building a fun superhero project by gathering the requirements, creating mockups, and setting up the project. Through project-guided examples, you’ll explore the Model, View, templates, workflows, and code reusability techniques. In addition to this, you’ll learn practical Python coding techniques in Django that’ll enable you to tackle problems related to complex topics such as legacy coding, data modeling, and code reusability.You’ll discover API design principles and best practices, and understand the need for asynchronous workflows. During this journey, you’ll study popular Python code testing techniques in Django, various web security threats and their countermeasures, and the monitoring and performance of your application.

Django in Production. Expert tips, strategies, and essential frameworks for writing scalable and maintainable code in Django

Arghya Saha

You may have got your first Django developer job after a six-week bootcamp or online course, and that’s great, but what’s next? In small companies, mentorship can be hard to come by and gaining the traits of a senior developer without that can take a long time. This is precisely where Django in Production comes into play.This book will first delve into the true meaning of good practice and help you understand the rationale behind industry professionals building websites in specific ways to develop a solid foundation for your Django projects. Next, you will uncover hidden Django secrets through hands-on exploration, leveraging the power of Docker and version control to your advantage. You will gain insights into mastering Git hooks for efficient code maintenance, establishing a robust CI pipeline, and harnessing the capabilities of AWS Beanstalk. These tools will empower you to develop highly scalable products—an essential skill set for aspiring developers transitioning from junior to senior roles. Later, you will understand the significance of monitoring and be introduced to industry-standard tools utilized by professionals for effective monitoring practices.By the end of this book, you will have set yourself apart from the crowd, equipped with the knowledge and expertise to thrive as a seasoned Django developer.

Django. Praktyczne tworzenie aplikacji sieciowych

Antonio Melé

Django to bardzo przydatne narzędzie ułatwiające pisanie aplikacji sieciowych w języku Python. Jest uważane za framework, który łączy wielkie możliwości z prostotą użytkowania. Pozwala na szybkie tworzenie oprogramowania na podstawie przejrzystych i praktycznych projektów. To atrakcyjne rozwiązanie dla programistów zarówno początkujących, jak i doświadczonych. Książka, którą trzymasz w rękach, jest znakomitym podręcznikiem pisania aplikacji sieciowych w Django. Krok po kroku pokazano tu pełny proces tworzenia profesjonalnego oprogramowania, a przykładami, na których oparto poszczególne rozdziały, są rzeczywiste projekty aplikacji. Dzięki takiemu podejściu można bardzo szybko zapoznać się z frameworkiem, nauczyć się rozwiązywania często występujących problemów i w naturalny sposób stosować najlepsze praktyki programistyczne. Autorzy pokazali również, w jaki sposób w projektach Django stosować kilka popularnych technologii związanych z aplikacjami sieciowymi. Najważniejsze zagadnienia omówione w książce: przygotowanie środowiska i wprowadzenie do frameworka, tworzenie praktycznego projektu aplikacji umożliwiającego dalsze modyfikacje i rozbudowę, implementacja zaawansowanych funkcjonalności aplikacji sieciowych, praca z bazami danych Redis i innymi technologiami (w tym Celery, Solr i Memcached), tłumaczenie aplikacji na wiele języków, API typu RESTful. Django — framework dla perfekcjonistów, którzy muszą przestrzegać terminów!

Django RESTful Web Services. The easiest way to build Python RESTful APIs and web services with Django

Gastón C. Hillar

Django is a Python web framework that makes the web development process very easy. It reduces the amount of trivial code, which simplifies the creation of web applications and results in faster development. It is very powerful and a great choice for creating RESTful web services.If you are a Python developer and want to efficiently create RESTful web services with Django for your apps, then this is the right book for you.The book starts off by showing you how to install and configure the environment, required software, and tools to create RESTful web services with Django and the Django REST framework. We then move on to working with advanced serialization and migrations to interact with SQLite and non-SQL data sources. We will use the features included in the Django REST framework to improve our simple web service.Further, we will create API views to process diverse HTTP requests on objects, go through relationships and hyperlinked API management, and then discover the necessary steps to include security and permissions related to data models and APIs. We will also apply throttling rules and run tests to check that versioning works as expected. Next we will run automated tests to improve code coverage. By the end of the book, you will be able to build RESTful web services with Django.

Django RESTful Web Services. The easiest way to build Python RESTful APIs and web services with Django

Gastón C. Hillar

Django is a Python web framework that makes the web development process very easy. It reduces the amount of trivial code, which simplifies the creation of web applications and results in faster development. It is very powerful and a great choice for creating RESTful web services.If you are a Python developer and want to efficiently create RESTful web services with Django for your apps, then this is the right book for you.The book starts off by showing you how to install and configure the environment, required software, and tools to create RESTful web services with Django and the Django REST framework. We then move on to working with advanced serialization and migrations to interact with SQLite and non-SQL data sources. We will use the features included in the Django REST framework to improve our simple web service.Further, we will create API views to process diverse HTTP requests on objects, go through relationships and hyperlinked API management, and then discover the necessary steps to include security and permissions related to data models and APIs. We will also apply throttling rules and run tests to check that versioning works as expected. Next we will run automated tests to improve code coverage. By the end of the book, you will be able to build RESTful web services with Django.

Django: Web Development with Python. Web Development with Python

Aidas Bendoraitis, Samuel Dauzon, Arun Ravindran

Data science is hot right now, and the need for multitalented developers is greater than ever before. A basic grounding in building apps with a framework as minimalistic, powerful, and easy-to-learn as Django will be a useful skill to launch your career as an entrepreneur or web developer. Django is a web framework that was designed to strike a balance between rapid web development and high performance. This course will take you on a journey to become an efficient web developer thoroughly understanding the key concepts of Django framework. This learning path is divided into three modules. The course begins with basic concepts of the Django framework. The first module, Django Essentials, is like a practical guide, filled with many real-world examples to build highly effective Django web application. After getting familiar with core concepts of Django, it's time to practice your learning from the first module with the help of over 90 recipes available in this module. In the second module, Web Development with Django Cookbook, you'll learn varying complexities to help you create multilingual, responsive, and scalable websites with Django. By the end of this module, you will have a good understanding of the new features added to Django 1.8 and be an expert at web development processes.The next step is to discover the latest best practices and idioms in this rapidly evolving Django framework. This is what you'll be learning in our third module, Django Design Patterns and Best Practices. This module will teach you common design patterns to develop better Django code. By the end of the module, you will be able to leverage the Django framework to develop a fully functional web application with minimal effort.

Docker and Kubernetes for Java Developers. Scale, deploy, and monitor multi-container applications

Jaroslaw Krochmalski, Jarosław Krochmalski

Imagine creating and testing Java EE applications on Apache Tomcat Server or Wildfly Application server in minutes along with deploying and managing Java applications swiftly. Sounds too good to be true? But you have a reason to cheer as such scenarios are only possible by leveraging Docker and Kubernetes.This book will start by introducing Docker and delve deep into its networking and persistent storage concepts. You will then proceed to learn how to refactor monolith application into separate services by building an application and then packaging it into Docker containers. Next, you will create an image containing Java Enterprise Application and later run it using Docker. Moving on, the book will focus on Kubernetes and its features and you will learn to deploy a Java application to Kubernetes using Maven and monitor a Java application in production. By the end of the book, you will get hands-on with some more advanced topics to further extend your knowledge about Docker and Kubernetes.

Docker and Kubernetes for Java Developers. Scale, deploy, and monitor multi-container applications

Jaroslaw Krochmalski, Jarosław Krochmalski

Imagine creating and testing Java EE applications on Apache Tomcat Server or Wildfly Application server in minutes along with deploying and managing Java applications swiftly. Sounds too good to be true? But you have a reason to cheer as such scenarios are only possible by leveraging Docker and Kubernetes.This book will start by introducing Docker and delve deep into its networking and persistent storage concepts. You will then proceed to learn how to refactor monolith application into separate services by building an application and then packaging it into Docker containers. Next, you will create an image containing Java Enterprise Application and later run it using Docker. Moving on, the book will focus on Kubernetes and its features and you will learn to deploy a Java application to Kubernetes using Maven and monitor a Java application in production. By the end of the book, you will get hands-on with some more advanced topics to further extend your knowledge about Docker and Kubernetes.