Download or read book Building Web Apps Using Flask and Neo4j written by Nicole White and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this Building Web Apps Using Flask and Neo4j training course, expert author Nicole White will teach you how to incorporate graph databases into your web applications. This course is designed for the absolute beginner, meaning no previous experience with Flask or Neo4j is required. You will start by learning how to install Neo4j and set up your project. From there, Nicole will teach you about Flask, Py2neo, and basic functionality, including constraints and indexes, registering a user, and adding a post. This video tutorial also covers social recommendations, including recommending similar users and commonalities between two users. Finally, you will learn about scaling considerations and how to deploy to Heroku. Once you have completed this computer based training course, you will have learned how to incorporate Neo4j into your own web applications. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.

Download or read book Building Web Applications with Python and Neo4j written by Sumit Gupta and published by Packt Publishing Ltd. This book was released on 2015-07-16 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Py2neo is a simple and pragmatic Python library that provides access to the popular graph database Neo4j via its RESTful web service interface. This brings with it a heavily refactored core, a cleaner API, better performance, and some new idioms. You will begin with licensing and installing Neo4j, learning the fundamentals of Cypher as a graph query language, and exploring Cypher optimizations. You will discover how to integrate with various Python frameworks such as Flask and its extensions: Py2neo, Neomodel, and Django. Finally, the deployment aspects of your Python-based Neo4j applications in a production environment is also covered. By sequentially working through the steps in each chapter, you will quickly learn and master the various implementation details and integrations of Python and Neo4j, helping you to develop your use cases more quickly.

Download or read book Building Web Apps Using Flask and Neo4j written by Nicole White and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this Building Web Apps Using Flask and Neo4j training course, expert author Nicole White will teach you how to incorporate graph databases into your web applications. This course is designed for the absolute beginner, meaning no previous experience with Flask or Neo4j is required. You will start by learning how to install Neo4j and set up your project. From there, Nicole will teach you about Flask, Py2neo, and basic functionality, including constraints and indexes, registering a user, and adding a post. This video tutorial also covers social recommendations, including recommending similar users and commonalities between two users. Finally, you will learn about scaling considerations and how to deploy to Heroku. Once you have completed this computer based training course, you will have learned how to incorporate Neo4j into your own web applications. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.

Download or read book Building Web Apps with Python and Flask written by Malhar Lathkar and published by BPB Publications. This book was released on 2021-03-12 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide for the rapid web application development with Flask KEY FEATURESÊ _ Expert-led coverage of core capabilities of Flask, key extensions and its implementation.Ê _ Explore the Werkzeug toolkit andÊ Jinja Template engine and see how FlaskÊ interacts with JavaScript and CSS. _ Detailed modules on building and deploying RESTful applications using Flask. Ê DESCRIPTIONÊ This book teaches the reader the complete workflow of developing web applications using Python and its most outperforming microframework, Flask. The book begins with getting you up to speed in developing a strong understanding of the web application development process and how Python is used in developing the applications. You will learn how to write your own first Flask-based web application in Python. You will learn about web gateway interfaces, including CGI and WSGI along with various tools like the Jinja 2 engine, Werkzeug toolkit, and Click toolkit.Ê You will learn and practice the core features of Flask such as URL routing, rendering, handling static assets of a web application, how to handle cookies and sessions, and other HTTP objects. Once you have developed a strong knowledge of Flask, you will now dive deeper into advanced topics that includes Flask extensions for working with relational and NoSQL databases, Flask_WTF, and Flask-Bootstrap. You will explore design patterns, various blueprints on how to build modular and scalable applications, and finally how to deploy the RESTful APIs successfully on your own. WHAT YOU WILL LEARNÊÊ _ Get to know everything about the core capabilities of Flask. _ Understand the basic building blocks of Flask. _ Get familiar with advanced features of Flask, including blueprints, Flask extensions, and database connectivity. _ Get ready to design your own Flask-based web applications and RESTful APIs. _ Learn to build modular and scalable applications and how to deploy them successfully. WHO THIS BOOK IS FORÊÊÊ This book is ideal for Python enthusiasts, open source contributors, and web app developers who intend to add Python web technologies in their skillsets and startup companies. The understanding of the core Python language with intermediate level expertise is required and experience of working with SQL, HTML, CSS, and JavaScript is an added advantage. TABLE OF CONTENTS 1. Python for CGI 2. WSGI 3. Flask Fundamentals 4. URL Routing 5. Rendering Templates 6. Static Files 7. HTTP Objects 8. Using Databases 9. More Flask Extensions 10. Blueprints and Contexts 11. Web API with Flask 12. Deploying Flask Applications 13. Appendix

Download or read book Hands On Graph Analytics with Neo4j written by Estelle Scifo and published by Packt Publishing Ltd. This book was released on 2020-08-21 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learning Key FeaturesGet up and running with graph analytics with the help of real-world examplesExplore various use cases such as fraud detection, graph-based search, and recommendation systemsGet to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scalingBook Description Neo4j is a graph database that includes plugins to run complex graph algorithms. The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You’ll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal complex relationships in your data. You’ll be able to implement graph analytics catering to different domains such as fraud detection, graph-based search, recommendation systems, social networking, and data management. You’ll also learn how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques, you’ll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally, you’ll get to grips with structuring a web application for production using Neo4j. By the end of this book, you’ll not only be able to harness the power of graphs to handle a broad range of problem areas, but you’ll also have learned how to use Neo4j efficiently to identify complex relationships in your data. What you will learnBecome well-versed with Neo4j graph database building blocks, nodes, and relationshipsDiscover how to create, update, and delete nodes and relationships using Cypher queryingUse graphs to improve web search and recommendationsUnderstand graph algorithms such as pathfinding, spatial search, centrality, and community detectionFind out different steps to integrate graphs in a normal machine learning pipelineFormulate a link prediction problem in the context of machine learningImplement graph embedding algorithms such as DeepWalk, and use them in Neo4j graphsWho this book is for This book is for data analysts, business analysts, graph analysts, and database developers looking to store and process graph data to reveal key data insights. This book will also appeal to data scientists who want to build intelligent graph applications catering to different domains. Some experience with Neo4j is required.

Download or read book Building REST APIs with Flask written by Kunal Relan and published by Apress. This book was released on 2019-09-12 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop RESTful web services using the Flask micro-framework and integrate them using MySQL. Use Flask to develop, deploy, and manage REST APIs with easy-to-read and understand Python code. Solve your problem from a choice of libraries. Learn to use MySQL as the web services database for your Flask API using SQLAlchemy ORM. Building REST APIs with Flask provides a primer on Flask, RESTful services, and working with pip to set up your virtual environment. The key differences between NoSQL and SQL are covered, and you are taught how to connect MySQL and Flask using SQLAlchemy. Author Kunal Relan presents best practices for creating REST APIs and guides you in structuring your app and testing REST endpoints. He teaches you how to set up authentication and render HTML using views. You learn how to write unit tests for your REST APIs, and understand mocks, assertions, and integration testing. You will know how to document your REST APIs, deploy your Flask application on all of the major cloud platforms, and debug and monitor your Flask application. What You'll LearnUse MySQL to create Flask REST APIs Test REST endpoints Create CRUD endpoints with Flask and MySQL Deploy Flask on all of the major cloud platforms Monitor your Flask application Who This Book Is For Python developers interested in REST API development using Flask and web developers with basic programming knowledge who want to learn how Python and REST APIs work together. Readers should be familiar with Python (command line, or at least pip) and MySQL.

Download or read book Mastering Flask Web and API Development written by Sherwin John C. Tragura and published by Packt Publishing Ltd. This book was released on 2024-08-16 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how to construct API and web components, build enterprise-grade applications, design and implement unit and behavioral testing, and plan deployment strategies for scalable Flask 3 applications Key Features Implement web and API applications using both standard and asynchronous Flask components Improve your dev experience with signals, route decorators, async/await design patterns, context managers, and nested blueprints Tie all the features together in each chapter through practical, relatable applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionFlask is a popular Python framework known for its lightweight and modular design. Mastering Flask Web and API Development will take you on an exhaustive tour of the Flask environment and teach you how to build a production-ready application. You’ll start by installing Flask and grasping fundamental concepts, such as MVC and ORM database access. Next, you’ll master structuring applications for scalability through Flask blueprints. As you progress, you’ll explore both SQL and NoSQL databases while creating REST APIs and implementing JWT authentication, and improve your skills in role-based access security, utilizing LDAP, OAuth, OpenID, and databases. The new project structure, managed by context managers, as well as ASGI support, has revolutionized Flask, and you’ll get to grips with these crucial upgrades. You'll also explore out-of-the-box integrations with technologies, such as RabbitMQ, Celery, NoSQL databases, PostgreSQL, and various external modules. The concluding chapters discuss enterprise-related challenges where Flask proves its mettle as a core solution. By the end of this book, you’ll be well-versed with Flask, seeing it not only as a lightweight web and API framework, but also as a potent problem-solving tool in your daily work, addressing integration and enterprise issues alongside Django and FastAPI.What you will learn Prepare, set up, and configure development environments for both API and web applications Explore built-in serializers and encoders that processes request and response data Solve big data issues by integrating Flask applications with NoSQL databases Apply various ORM and ODM techniques to build model and repository layers Integrate with OpenAPI, Circuit Breaker, ZooKeeper, and OpenTracing to build scalable API applications Use Flask middleware to provide CRUD transactions for Flutter-based mobile applications Who this book is for This book is for proficient Python developers seeking a deeper understanding of the Flask framework as a solution for tackling enterprise challenges. It is also a great resource for Flask-savvy readers eager to learn more about the framework’s advanced capabilities and new features.

Download or read book Full Stack GraphQL Applications written by William Lyon and published by Simon and Schuster. This book was released on 2022-09-27 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: GraphQL radically improves the efficiency of web APIs, reducing the number of requests and the volume of data in-transit within your web applications. You can amplify the benefits of GraphQL by adjusting your stack to match GraphQL''s more natural representation of your data as a graph. In Fullstack GraphQL Applications with GRANDstack you''ll learn to build graph-aware end-to-end web applications using GraphQL, React, Apollo, and the Neo4j graph database. about the technology Over-fetching or under-fetching data from REST APIs makes your applications slow and unreliable, especially over weak mobile network connections. The GraphQL query language offers a solution with a new API paradigm, reducing loads by constructing precise graph-based data requests. By adapting your application''s design and data store to leverage graphs throughout the stack, you decrease friction by using a consistent data model improving developer productivity, performance and maintainability. The combination of GraphQL, React, Apollo, and Neo4j Database, aka "the GRANDstack," provides an easily adoptable end-to-end solution perfect for building fullstack GraphQL applications. about the book Fullstack GraphQL Applications with GRANDstack teaches you to leverage the power of GraphQL to create modern APIs that streamline data loads by allowing client applications to selectively fetch only the data required. GRANDstack.io contributor and GraphQL Foundation member William Lyon teaches you everything you need to know to design, deploy, and maintain a GraphQL API from scratch and create graph-aware fullstack web applications. In this project-driven book, you''ll build a complete business reviews application using the cutting-edge GRANDstack, learning how the different parts fit together. Chapter-by-chapter, you''ll master creating a GraphQL service with Apollo Server, modelling a GraphQL API with GraphQL type definitions, installing the Neo4j Database on different platforms, and more. By the time you''re done, you''ll be able to deploy all of the components of a serverless fullstack application in a secure and cost-effective way that takes full advantage of GraphQL''s performance capabilities. Along the way, you''ll also get tips for applying these techniques to other stacks. what''s inside Building the backend functionality of a GraphQL application Handling authentication and authorization with GraphQL Implementing pagination and rate limiting in a GraphQL API Create a basic frontend application using React and Apollo Client about the reader Aimed at developers comfortable building web applications using tools like Django, Rails, or MEAN stack and standard SQL-based databases. No experience with GraphQL or graph databases required. about the author William Lyon is a software developer at Neo4j, working on integrations with other technologies and helping users build applications with Neo4j. He is the creator and maintainer of neo4j-graphql.js, a JavaScript library for creating GraphQL APIs, and is a contributor to GRANDstack.io. He serves as Neo4j''s representative on the GraphQL Foundation.

Download or read book Learning Neo4j written by Rik Van Bruggen and published by Packt Publishing Ltd. This book was released on 2014-08-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.

Download or read book Flask written by Gareth Dwyer and published by . This book was released on 2017 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the full potential of the Flask web framework by creating small to large and powerful web applications About This Book Create your own world-class applications and master the art of Flask by unravelling its enigma through this journey Packed with recipes containing lots of sample applications to help you understand the intricacies of Flask web programming Work with scalable Flask application structures to create complex web apps Who This Book Is For This learning path is ideal developers who know the basics of Python and want to learn how to use the Flask framework to build powerful web solutions in Python. What You Will Learn Build three web applications from the ground up using the powerful Python micro framework, Flask. Extend your applications to build advanced functionality, such as a user account control system using Flask-Login Learn about web application security and defend against common attacks, such as SQL injection and XSS Integrate with technologies like Redis, Sentry, MongoDB and so on Build applications with integrations to most of the login mechanisms available Don't just stop at development. Learn about deployment and post-deployment Use SQLAlchemy to programmatically query a database Develop a custom Flask extension In Detail Are you a fan of Python? Want to use it to create powerful web applications? Then Flask is the perfect choice for you. This course will take you through the intricacies of the Flask Microframework, covering all it's components and elements and how to integrate it with useful third party libraries. Dive deep into what Flask has to offer and then you will create multiple Python apps from scratch on your own. The first module will introduce you to web development using Flask to building fully functional web applications. Hands-on and pragmatic, this tutorial goes right to the crux of Flask by showing you how to build challenging real-world applications. The second module introduces you to a number of recipes that will help you understand the power of Flask and its extensions. Start by seeing the different configurations that a Flask application can make use of. By the end of this module, you will have gained all the knowledge required to write Flask applications in the best possible way, and scale them with best practices. The final module will walk you through advanced Flask topics while providing practical examples of for all your lessons learned. The module closes with a discussion of the differe ...

Download or read book Quick Start Full Stack Web Development written by Erik Ferragut and published by . This book was released on 2020-01-28 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quick Start Full Stack Web Development removes the trial and error from learning to make web applications. Being a full stack web developer does not mean knowing everything about every web technology,but rather knowing enough to build a complete application including a front end, a back end, and a database. Web searching can provide useful snippets of information, but integrating those pieces into a working whole remains a challenge. This book will walk the reader through both the component technologies and the steps required to get the pieces to work together. This clear focus can save countless hours of frustration compared to trying to assemble a working solution from inconsistent and outdated sources. The reader should have some familiarity with Python or JavaScript, but no web programming experience is assumed. Quick Start Full Stack Web Development explains key concepts, such as REST APIs and JSON Web Tokens, and then puts these concepts into practice with real, working examples. The examples are built step-by-step, providing an opportunity to experiment with the ideas. Furthermore, there is a consistent focus on getting instant feedback as changes are made to the code, a good practice for quickly building intuition and gaining experience. The chosen technologies (React, Flask, and PostgreSQL) are excellent options for newcomers to web development because they are relatively easy to learn, have vibrant supportive communities, and can scale to large and complex applications. Rather than providing a cursory introduction to a variety of technology options, Quick Start Full Stack Web Development provides a thorough foundation in one technology stack. This prevents confusion, provides more opportunities to reinforce concepts, and leads more quickly to significant results. Learn how to: Build a Python Flask REST API Develop and style a React client Design SQLite and PostgreSQL databases using SQLAlchemy Incorporate JSON Web Tokens (JWT) for authentication Test it using httpie, browser dev tools, pytest, and Jest Document it using Sphinx and Storybook Deploy using Gunicorn and NGINX on a Platform-as-a-Service The result is a fully functional full stack web application that addresses all the little details, like serving the client and API from the same server, managing the environment with a config file, making the documentation visible in the git repository, and populating and uploading databases. Because it focuses on getting to a working application, Quick Start Full Stack Web Development is well suited to entrepreneurs and solopreneurs building out their minimal viable products. And because it explains the concepts and shows them in practice, it will help programmers who want to get into web development. If you want to learn these powerful skills as quickly as possible, then this book is for you.

Download or read book Mastering Flask Web Development written by Daniel Gaspar and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to build modern, secure, highly available web MVC applications and API’s using Python`s Flask framework. Key FeaturesCreate production-ready MVC and REST API with the dynamic features of FlaskUtilize the various extensions like Flask-JWT and Flask-SQLAlchemy to develop powerful applicationsDeploy your flask application on real-world platforms like AWS and Heroku on VM’s or Docker containersBook Description Flask is a popular Python framework known for its lightweight and modular design. Mastering Flask Web Development will take you on a complete tour of the Flask environment and teach you how to build a production-ready application. You'll begin by learning about the installation of Flask and basic concepts such as MVC and accessing a database using an ORM. You will learn how to structure your application so that it can scale to any size with the help of Flask Blueprints. You'll then learn how to use Jinja2 templates with a high level of expertise. You will also learn how to develop with SQL or NoSQL databases, and how to develop REST APIs and JWT authentication. Next, you'll move on to build role-based access security and authentication using LDAP, OAuth, OpenID, and database. Also learn how to create asynchronous tasks that can scale to any load using Celery and RabbitMQ or Redis. You will also be introduced to a wide range of Flask extensions to leverage technologies such as cache, localization, and debugging. You will learn how to build your own Flask extensions, how to write tests, and how to get test coverage reports. Finally, you will learn how to deploy your application on Heroku and AWS using various technologies, such as Docker, CloudFormation, and Elastic Beanstalk, and will also learn how to develop Jenkins pipelines to build, test, and deploy applications. What you will learnDevelop a Flask extension using best practicesImplement various authentication methods: LDAP, JWT, Database, OAuth, and OpenIDLearn how to develop role-based access security and become an expert on Jinja2 templatesBuild tests for your applications and APIsInstall and configure a distributed task queue using Celery and RabbitMQDevelop RESTful APIs and secure REST API'sDeploy highly available applications that scale on Heroku and AWS using Docker or VMsWho this book is for The ideal target audience for this book would be Python developers who want to use Flask and its advanced features to create Enterprise grade and lightweight applications. The book is for those who have some exposure of Flask and want to take it from introductory to master level.

Download or read book Building Serverless Applications with Python written by Jalem Raj Rohit and published by Packt Publishing Ltd. This book was released on 2018-04-20 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building efficient Python applications at minimal cost by adopting serverless architectures Key Features Design and set up a data flow between cloud services and custom business logic Make your applications efficient and reliable using serverless architecture Build and deploy scalable serverless Python APIs Book Description Serverless architectures allow you to build and run applications and services without having to manage the infrastructure. Many companies have adopted this architecture to save cost and improve scalability. This book will help you design serverless architectures for your applications with AWS and Python. The book is divided into three modules. The first module explains the fundamentals of serverless architecture and how AWS lambda functions work. In the next module, you will learn to build, release, and deploy your application to production. You will also learn to log and test your application. In the third module, we will take you through advanced topics such as building a serverless API for your application. You will also learn to troubleshoot and monitor your app and master AWS lambda programming concepts with API references. Moving on, you will also learn how to scale up serverless applications and handle distributed serverless systems in production. By the end of the book, you will be equipped with the knowledge required to build scalable and cost-efficient Python applications with a serverless framework. What you will learn Understand how AWS Lambda and Microsoft Azure Functions work and use them to create an application Explore various triggers and how to select them, based on the problem statement Build deployment packages for Lambda functions Master the finer details about building Lambda functions and versioning Log and monitor serverless applications Learn about security in AWS and Lambda functions Scale up serverless applications to handle huge workloads and serverless distributed systems in production Understand SAM model deployment in AWS Lambda Who this book is for This book is for Python developers who would like to learn about serverless architecture. Python programming knowledge is assumed.

Download or read book Graph Algorithms written by Mark Needham and published by "O'Reilly Media, Inc.". This book was released on 2019-05-16 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark

Download or read book Flask Web Development written by Miguel Grinberg and published by "O'Reilly Media, Inc.". This book was released on 2018-03-05 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, youâ??ll learn Flask from the ground up by developing a complete, real-world application created by author Miguel Grinberg. This refreshed edition accounts for important technology changes that have occurred in the past three years. Explore the frameworkâ??s core functionality, and learn how to extend applications with advanced web techniques such as database migrations and an application programming interface. The first part of each chapter provides you with reference and background for the topic in question, while the second part guides you through a hands-on implementation. If you have Python experience, youâ??re ready to take advantage of the creative freedom Flask provides. Three sections include: A thorough introduction to Flask: explore web application development basics with Flask and an application structure appropriate for medium and large applications Building Flasky: learn how to build an open source blogging application step-by-step by reusing templates, paginating item lists, and working with rich text Going the last mile: dive into unit testing strategies, performance analysis techniques, and deployment options for your Flask application

Download or read book Building RESTful Python Web Services written by Gaston C. Hillar and published by Packt Publishing Ltd. This book was released on 2016-10-27 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create web services that are lightweight, maintainable, scalable, and secure using the best tools and techniques designed for Python About This Book Develop RESTful Web Services using the most popular frameworks in Python Configure and fine-tune your APIs using the best tools and techniques available This practical guide will help you to implement complete REST-based APIs from scratch Who This Book Is For This book is for web developers who have working knowledge of Python and would like to build amazing web services by taking advantage of the various frameworks of Python. You should have some knowledge of RESTful APIs. What You Will Learn Develop complex RESTful APIs from scratch with Python combined with and without data sources Choose the most appropriate (micro) framework based on the specific requirements of a RESTful API / web service Debug, test, and profile RESTful APIs with each of the frameworks Develop a complex RESTful API that interacts with a PostgreSQL database Add authentication and permissions to a RESTful API built in each of the frameworks Map URL patterns to request handlers and check how the API works Profile an existing API and refactor it to take advantage of asynchronous code In Detail Python is the language of choice for millions of developers worldwide, due to its gentle learning curve as well as its vast applications in day-to-day programming. It serves the purpose of building great web services in the RESTful architecture. This book will show you the best tools you can use to build your own web services. Learn how to develop RESTful APIs using the popular Python frameworks and all the necessary stacks with Python, Django, Flask, and Tornado, combined with related libraries and tools. We will dive deep into each of these frameworks to build various web services, and will provide use cases and best practices on when to use a particular framework to get the best results. We will show you everything required to successfully develop RESTful APIs with the four frameworks such as request handling, URL mapping, serialization, validation, authentication, authorization, versioning, ORMs, databases, custom code for models and views, and asynchronous callbacks. At the end of each framework, we will add authentication and security to the RESTful APIs and prepare tests for it. By the end of the book, you will have a deep understanding of the stacks needed to build RESTful web services. Style and approach The book takes a straightforward approach, not spending time getting you started with RESTful APIs and web services. It will give you the best use cases for each framework to build great web services in Python.

Download or read book Practical Machine Learning with Rust written by Joydeep Bhattacharjee and published by Apress. This book was released on 2019-12-10 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud. After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy. What You Will Learn Write machine learning algorithms in RustUse Rust libraries for different tasks in machine learningCreate concise Rust packages for your machine learning applicationsImplement NLP and computer vision in RustDeploy your code in the cloud and on bare metal servers Who This Book Is For Machine learning engineers and software engineers interested in building machine learning applications in Rust.