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Microservice APIs

Author : Jose Haro Peralta
Publisher : Simon and Schuster
ISBN 13 : 1638350566
Total Pages : 438 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Microservice APIs by : Jose Haro Peralta

Download or read book Microservice APIs written by Jose Haro Peralta and published by Simon and Schuster. This book was released on 2023-03-07 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Strategies, best practices, and patterns that will help you design resilient microservices architecture and streamline your API integrations. In Microservice APIs, you’ll discover: Service decomposition strategies for microservices Documentation-driven development for APIs Best practices for designing REST and GraphQL APIs Documenting REST APIs with the OpenAPI specification (formerly Swagger) Documenting GraphQL APIs using the Schema Definition Language Building microservices APIs with Flask, FastAPI, Ariadne, and other frameworks Service implementation patterns for loosely coupled services Property-based testing to validate your APIs, and using automated API testing frameworks like schemathesis and Dredd Adding authentication and authorization to your microservice APIs using OAuth and OpenID Connect (OIDC) Deploying and operating microservices in AWS with Docker and Kubernetes Microservice APIs teaches you practical techniques for designing robust microservices with APIs that are easy to understand, consume, and maintain. You’ll benefit from author José Haro Peralta’s years of experience experimenting with microservices architecture, dodging pitfalls and learning from mistakes he’s made. Inside you’ll find strategies for delivering successful API integrations, implementing services with clear boundaries, managing cloud deployments, and handling microservices security. Written in a framework-agnostic manner, its universal principles can easily be applied to your favorite stack and toolset. About the technology Clean, clear APIs are essential to the success of microservice applications. Well-designed APIs enable reliable integrations between services and help simplify maintenance, scaling, and redesigns. Th is book teaches you the patterns, protocols, and strategies you need to design, build, and deploy effective REST and GraphQL microservices APIs. About the book Microservice APIs gathers proven techniques for creating and building easy-to-consume APIs for microservices applications. Rich with proven advice and Python-based examples, this practical book focuses on implementation over philosophy. You’ll learn how to build robust microservice APIs, test and protect them, and deploy them to the cloud following principles and patterns that work in any language. What's inside Service decomposition strategies for microservices Best practices for designing and building REST and GraphQL APIs Service implementation patterns for loosely coupled components API authorization with OAuth and OIDC Deployments with AWS and Kubernetes About the reader For developers familiar with the basics of web development. Examples are in Python. About the author José Haro Peralta is a consultant, author, and instructor. He’s also the founder of microapis.io. Table of Contents PART 1 INTRODUCING MICROSERVICE APIS 1 What are microservice APIs? 2 A basic API implementation 3 Designing microservices PART 2 DESIGNING AND BUILDING REST APIS 4 Principles of REST API design 5 Documenting REST APIs with OpenAPI 6 Building REST APIs with Python 7 Service implementation patterns for microservices PART 3 DESIGNING AND BUILDING GRAPHQL APIS 8 Designing GraphQL APIs 9 Consuming GraphQL APIs 10 Building GraphQL APIs with Python PART 4 SECURING, TESTING, AND DEPLOYING MICROSERVICE APIS 11 API authorization and authentication 12 Testing and validating APIs 13 Dockerizing microservice APIs 14 Deploying microservice APIs with Kubernetes

Python API Development Fundamentals

Author : Jack Chan
Publisher : Packt Publishing Ltd
ISBN 13 : 1838981101
Total Pages : 372 pages
Book Rating : 4.8/5 (389 download)

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Book Synopsis Python API Development Fundamentals by : Jack Chan

Download or read book Python API Development Fundamentals written by Jack Chan and published by Packt Publishing Ltd. This book was released on 2019-11-22 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn all that’s needed to build a fully functional web application from scratch. Key FeaturesDelve deep into the principle behind RESTful APILearn how to build a scalable web application with the RESTful API architecture and Flask frameworkKnow what are the exact tools and methodology to test your applications and how to use themBook Description Python is a flexible language that can be used for much more than just script development. By knowing the Python RESTful APIs work, you can build a powerful backend for web applications and mobile applications using Python. You'll take your first steps by building a simple API and learning how the frontend web interface can communicate with the backend. You'll also learn how to serialize and deserialize objects using the marshmallow library. Then, you'll learn how to authenticate and authorize users using Flask-JWT. You'll also learn how to enhance your APIs by adding useful features, such as email, image upload, searching, and pagination. You'll wrap up the whole book by deploying your APIs to the cloud. By the end of this book, you'll have the confidence and skill to leverage the power of RESTful APIs and Python to build efficient web applications. What you will learnUnderstand the concept of a RESTful APIBuild a RESTful API using Flask and the Flask-Restful extensionManipulate a database using Flask-SQLAlchemy and Flask-MigrateSend out plaintext and HTML format emails using the Mailgun APIImplement a pagination function using Flask-SQLAlchemyUse caching to improve API performance and efficiently obtain the latest informationDeploy an application to Heroku and test it using PostmanWho this book is for This book is ideal for aspiring software developers who have a basic-to-intermediate knowledge of Python programming and who want to develop web applications using Python. Knowledge of how web applications work will be beneficial but is not essential.

The Well-Grounded Python Developer

Author : Doug Farrell
Publisher : Simon and Schuster
ISBN 13 : 1617297445
Total Pages : 294 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis The Well-Grounded Python Developer by : Doug Farrell

Download or read book The Well-Grounded Python Developer written by Doug Farrell and published by Simon and Schuster. This book was released on 2023-07-18 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Well-Grounded Python Developer teaches you how to write real software in Python by building on the basic language skills you already have. When you’re new to Python, it can be tough to understand where and how to use its many language features. There’s a dizzying array of libraries, and it’s challenging to fit everything together. The Well-Grounded Python Developer builds on Python skills you’ve learned in isolation and shows you how to unify them into a meaningful whole. The Well-Grounded Python Developer teaches you how to write real software in Python by building on the basic language skills you already have. It helps you see the big picture you can create out of small pieces, introducing concepts like modular construction, APIs, and the design of a basic web server. When you’re finished, you’ll have gone from having a basic understanding of Python's syntax, grammar, and libraries to using them as the tools of a professional software developer. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Python APIs

Author : Robert Johnson
Publisher : HiTeX Press
ISBN 13 :
Total Pages : 306 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Python APIs by : Robert Johnson

Download or read book Python APIs written by Robert Johnson and published by HiTeX Press. This book was released on 2024-10-24 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Python APIs: From Concept to Implementation" is an essential guide for anyone seeking to master the art of API development using Python. This comprehensive resource covers the fundamental concepts of APIs, unraveling their architecture, protocols, and real-world applications. With a clear focus on RESTful APIs, this book explores the design principles and best practices required to build intuitive and scalable APIs. From selecting the right data formats to implementing robust security measures, the book provides detailed insights that cater to the evolving needs of modern software development. Delving into practical applications, the book offers step-by-step guidance on utilizing popular Python frameworks like Flask and FastAPI to construct efficient APIs. Readers are taken through the entire lifecycle of API development, from documentation and testing to deployment and scaling. The inclusion of advanced topics such as asynchronous programming, integration strategies, and performance optimization ensures a comprehensive understanding. All aspects of API development are explored to prepare readers for the challenges of integrating APIs into dynamic applications and scaling them to handle increased demand. "Python APIs: From Concept to Implementation" equips beginners and seasoned developers alike with the knowledge and tools needed to create powerful, reliable, and secure APIs using Python's versatile capabilities. Whether you're building simple applications or managing complex enterprise systems, this book is your ultimate companion in achieving robust API solutions.

Django for APIs

Author : William S. Vincent
Publisher : WelcomeToCode
ISBN 13 :
Total Pages : 201 pages
Book Rating : 4./5 ( download)

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Book Synopsis Django for APIs by : William S. Vincent

Download or read book Django for APIs written by William S. Vincent and published by WelcomeToCode. This book was released on 2022-02-23 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Completely updated for Django 4.0 & Django REST Framework 3.13! Django for APIs is a project-based guide to building modern web APIs with Django & Django REST Framework. It is suitable for beginners who have never built an API before as well as professional programmers looking for a fast-paced introduction to Django fundamentals and best practices. Over the course of 200+ pages you'll learn how to set up a new project properly, how web APIs work under the hood, and advanced testing and deployment techniques. Three separate projects are built from scratch with progressively more advanced features including a Library API, Todo API, and Blog API. User authentication, permissions, documentation, viewsets, and routers are all covered thoroughly. Django for APIs is a best-practices guide to building powerful Python-based web APIs with a minimal amount of code.

Building REST APIs with Flask

Author : Kunal Relan
Publisher : Apress
ISBN 13 : 1484250222
Total Pages : 209 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Building REST APIs with Flask by : Kunal Relan

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.

Hands-On RESTful Python Web Services

Author : Gaston C. Hillar
Publisher : Packt Publishing Ltd
ISBN 13 : 1789532787
Total Pages : 490 pages
Book Rating : 4.7/5 (895 download)

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Book Synopsis Hands-On RESTful Python Web Services by : Gaston C. Hillar

Download or read book Hands-On RESTful Python Web Services written by Gaston C. Hillar and published by Packt Publishing Ltd. This book was released on 2018-12-26 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the best tools and techniques to create lightweight, maintainable, and scalable Python web services Key FeaturesCombine Python with different data sources to build complex RESTful APIs from scratchConfigure and fine-tune your APIs using the best tools and techniques availableUse command-line and GUI tools to test CRUD operations performed by RESTful Web Services or APIsBook Description Python is the language of choice for millions of developers worldwide that builds great web services in RESTful architecture. This second edition of Hands-On RESTful Python Web Services will cover the best tools you can use to build engaging web services. This book shows you how to develop RESTful APIs using the most popular Python frameworks and all the necessary stacks with Python, combined with related libraries and tools. You’ll learn to incorporate all new features of Python 3.7, Flask 1.0.2, Django 2.1, Tornado 5.1, and also a new framework, Pyramid. As you advance through the chapters, you will get to grips with each of these frameworks to build various web services, and be shown use cases and best practices covering when to use a particular framework. You’ll then successfully develop RESTful APIs with all frameworks and understand how each framework processes HTTP requests and routes URLs. You’ll also discover best practices for validation, serialization, and deserialization. In the concluding chapters, you will take advantage of specific features available in certain frameworks such as integrated ORMs, built-in authorization and authentication, and work with asynchronous code. At the end of each framework, you will write tests for RESTful APIs and improve code coverage. By the end of the book, you will have gained a deep understanding of the stacks needed to build RESTful web services. What you will learnSelect the most appropriate framework based on requirementsDevelop complex RESTful APIs from scratch using PythonUse requests handlers, URL patterns, serialization, and validationsAdd authentication, authorization, and interaction with ORMs and databasesDebug, test, and improve RESTful APIs with four frameworksDesign RESTful APIs with frameworks and create automated testsWho this book is for This book is for web developers who have a 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.

Practical Python Programming for IoT

Author : Gary Smart
Publisher : Packt Publishing Ltd
ISBN 13 : 1838982833
Total Pages : 500 pages
Book Rating : 4.8/5 (389 download)

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Book Synopsis Practical Python Programming for IoT by : Gary Smart

Download or read book Practical Python Programming for IoT written by Gary Smart and published by Packt Publishing Ltd. This book was released on 2020-11-12 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage Python and Raspberry Pi to create complex IoT applications capable of creating and detecting movement and measuring distance, light, and a host of other environmental conditions Key FeaturesLearn the fundamentals of electronics and how to integrate them with a Raspberry PiUnderstand how to build RESTful APIs, WebSocket APIs, and MQTT-based applicationsExplore alternative approaches to structuring IoT applications with PythonBook Description The age of connected devices is here, be it fitness bands or smart homes. It's now more important than ever to understand how hardware components interact with the internet to collect and analyze user data. The Internet of Things (IoT), combined with the popular open source language Python, can be used to build powerful and intelligent IoT systems with intuitive interfaces. This book consists of three parts, with the first focusing on the "Internet" component of IoT. You'll get to grips with end-to-end IoT app development to control an LED over the internet, before learning how to build RESTful APIs, WebSocket APIs, and MQTT services in Python. The second part delves into the fundamentals behind electronics and GPIO interfacing. As you progress to the last part, you'll focus on the "Things" aspect of IoT, where you will learn how to connect and control a range of electronic sensors and actuators using Python. You'll also explore a variety of topics, such as motor control, ultrasonic sensors, and temperature measurement. Finally, you'll get up to speed with advanced IoT programming techniques in Python, integrate with IoT visualization and automation platforms, and build a comprehensive IoT project. By the end of this book, you'll be well-versed with IoT development and have the knowledge you need to build sophisticated IoT systems using Python. What you will learnUnderstand electronic interfacing with Raspberry Pi from scratchGain knowledge of building sensor and actuator electronic circuitsStructure your code in Python using Async IO, pub/sub models, and moreAutomate real-world IoT projects using sensor and actuator integrationIntegrate electronics with ThingSpeak and IFTTT to enable automationBuild and use RESTful APIs, WebSockets, and MQTT with sensors and actuatorsSet up a Raspberry Pi and Python development environment for IoT projectsWho this book is for This IoT Python book is for application developers, IoT professionals, or anyone interested in building IoT applications using the Python programming language. It will also be particularly helpful for mid to senior-level software engineers who are experienced in desktop, web, and mobile development, but have little to no experience of electronics, physical computing, and IoT.

Natural Language Processing with Python

Author : Steven Bird
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596555717
Total Pages : 506 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Natural Language Processing with Python by : Steven Bird

Download or read book Natural Language Processing with Python written by Steven Bird and published by "O'Reilly Media, Inc.". This book was released on 2009-06-12 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

Practical API Design

Author : Jaroslav Tulach
Publisher : Apress
ISBN 13 : 1430209747
Total Pages : 400 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Practical API Design by : Jaroslav Tulach

Download or read book Practical API Design written by Jaroslav Tulach and published by Apress. This book was released on 2008-09-20 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: You might think more than enough design books exist in the programming world already. In fact, there are so many that it makes sense to ask why you would read yet another. Is there really a need for yet another design book? In fact, there is a greater need than ever before, and Practical API Design: Confessions of a Java Framework Architect fills that need! Teaches you how to write an API that will stand the test of time Written by the designer of the NetBeans API at Sun Technologies Based on best practices, scalability, and API design patterns

Python Architecture Patterns

Author : Jaime Buelta
Publisher : Packt Publishing Ltd
ISBN 13 : 1801811776
Total Pages : 595 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Python Architecture Patterns by : Jaime Buelta

Download or read book Python Architecture Patterns written by Jaime Buelta and published by Packt Publishing Ltd. This book was released on 2022-01-12 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make the best of your test suites by using cutting-edge software architecture patterns in Python Key FeaturesLearn how to create scalable and maintainable applicationsBuild a web system for micro messaging using concepts in the bookUse profiling to find bottlenecks and improve the speed of the systemBook Description Developing large-scale systems that continuously grow in scale and complexity requires a thorough understanding of how software projects should be implemented. Software developers, architects, and technical management teams rely on high-level software design patterns such as microservices architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD) to make their work easier. This book covers these proven architecture design patterns with a forward-looking approach to help Python developers manage application complexity—and get the most value out of their test suites. Starting with the initial stages of design, you will learn about the main blocks and mental flow to use at the start of a project. The book covers various architectural patterns like microservices, web services, and event-driven structures and how to choose the one best suited to your project. Establishing a foundation of required concepts, you will progress into development, debugging, and testing to produce high-quality code that is ready for deployment. You will learn about ongoing operations on how to continue the task after the system is deployed to end users, as the software development lifecycle is never finished. By the end of this Python book, you will have developed "architectural thinking": a different way of approaching software design, including making changes to ongoing systems. What you will learnThink like an architect, analyzing software architecture patternsExplore API design, data storage, and data representation methodsInvestigate the nuances of common architectural structuresUtilize and interoperate elements of patterns such as microservicesImplement test-driven development to perform quality code testingRecognize chunks of code that can be restructured as packagesMaintain backward compatibility and deploy iterative changesWho this book is for This book will help software developers and architects understand the structure of large complex systems and adopt architectural patterns that are scalable. Examples in the book are implemented in Python so a fair grasp of basic Python concepts is expected. Proficiency in any programming languages such as Java or JavaScript is sufficient.

Building RESTful Python Web Services

Author : Gaston C. Hillar
Publisher : Packt Publishing Ltd
ISBN 13 : 178646425X
Total Pages : 412 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Building RESTful Python Web Services by : Gaston C. Hillar

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.

Python for Data Analysis

Author : Wes McKinney
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491957611
Total Pages : 553 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Python for Data Analysis by : Wes McKinney

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Designing APIs with Swagger and OpenAPI

Author : Josh Ponelat
Publisher : Simon and Schuster
ISBN 13 : 1638352275
Total Pages : 422 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Designing APIs with Swagger and OpenAPI by : Josh Ponelat

Download or read book Designing APIs with Swagger and OpenAPI written by Josh Ponelat and published by Simon and Schuster. This book was released on 2022-07-19 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Follow real-world API projects from concept to production, and learn hands-on how to describe and design APIs using OpenAPI. In Designing APIs with Swagger and OpenAPI you will learn how to: Understand OpenAPI syntax and structure Use Swagger and other tooling to create OpenAPI definitions Design authentication and authorization Turn an OpenAPI description into online documentation Automate processes and generating code Iterate an API design with user stories Build a frontend against a mock server Generate backend code with Swagger Codegen Versioning an API and dodging breaking changes Work with cross-functional teams Designing APIs with Swagger and OpenAPI is a comprehensive guide to designing and describing your first RESTful API using the most widely adopted standards. Following expert instruction from Swagger core contributor Josh Ponelat and API consultant Lukas Rosenstock, you’ll spend each chapter progressively expanding the kind of APIs you’ll want to build in the real world. You’ll utilize OpenAPI and Swagger to help automate your workflow, and free up your time to work on more exciting features. Learn the syntax and structure of OpenAPI definitions, create and iterate on an API design with common tools, and release your API to the public. About the technology Create web APIs that customers and developers will love! Using Swagger, a collection of tools for defining and documenting REST APIs, you will build safe, controlled access to your software. And because Swagger implements the vendor-neutral OpenAPI specification, you’ll be building to the same standards adopted by Google, Microsoft, and Amazon. About the book Designing APIs with Swagger and OpenAPI introduces a design-first approach. Written for developers new to API design, it follows the lifecycle of an API project from concept to production. You’ll explore the dos and don’ts of APIs through progressively complete examples. You’ll get hands-on experience designing APIs for specific business needs, using open source tools to generate documentation, and building developer-friendly components like mocks and client SDKs. What's inside OpenAPI syntax and structure Using Swagger to create OpenAPI definitions Automating processes and generating code Working with cross-functional teams About the reader For web developers. No prior knowledge of Swagger or OpenAPI required. About the author Josh Ponelat is the Swagger Open Source lead at SmartBear. Lukas Rosenstock is an independent software developer and API consultant.

Web Scraping with Python

Author : Ryan Mitchell
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910259
Total Pages : 264 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Web Scraping with Python by : Ryan Mitchell

Download or read book Web Scraping with Python written by Ryan Mitchell and published by "O'Reilly Media, Inc.". This book was released on 2015-06-15 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once. Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice. Learn how to parse complicated HTML pages Traverse multiple pages and sites Get a general overview of APIs and how they work Learn several methods for storing the data you scrape Download, read, and extract data from documents Use tools and techniques to clean badly formatted data Read and write natural languages Crawl through forms and logins Understand how to scrape JavaScript Learn image processing and text recognition

API Security in Action

Author : Neil Madden
Publisher : Manning Publications
ISBN 13 : 1617296023
Total Pages : 574 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis API Security in Action by : Neil Madden

Download or read book API Security in Action written by Neil Madden and published by Manning Publications. This book was released on 2020-12-08 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: API Security in Action teaches you how to create secure APIs for any situation. By following this hands-on guide you’ll build a social network API while mastering techniques for flexible multi-user security, cloud key management, and lightweight cryptography. Summary A web API is an efficient way to communicate with an application or service. However, this convenience opens your systems to new security risks. API Security in Action gives you the skills to build strong, safe APIs you can confidently expose to the world. Inside, you’ll learn to construct secure and scalable REST APIs, deliver machine-to-machine interaction in a microservices architecture, and provide protection in resource-constrained IoT (Internet of Things) environments. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology APIs control data sharing in every service, server, data store, and web client. Modern data-centric designs—including microservices and cloud-native applications—demand a comprehensive, multi-layered approach to security for both private and public-facing APIs. About the book API Security in Action teaches you how to create secure APIs for any situation. By following this hands-on guide you’ll build a social network API while mastering techniques for flexible multi-user security, cloud key management, and lightweight cryptography. When you’re done, you’ll be able to create APIs that stand up to complex threat models and hostile environments. What's inside Authentication Authorization Audit logging Rate limiting Encryption About the reader For developers with experience building RESTful APIs. Examples are in Java. About the author Neil Madden has in-depth knowledge of applied cryptography, application security, and current API security technologies. He holds a Ph.D. in Computer Science. Table of Contents PART 1 - FOUNDATIONS 1 What is API security? 2 Secure API development 3 Securing the Natter API PART 2 - TOKEN-BASED AUTHENTICATION 4 Session cookie authentication 5 Modern token-based authentication 6 Self-contained tokens and JWTs PART 3 - AUTHORIZATION 7 OAuth2 and OpenID Connect 8 Identity-based access control 9 Capability-based security and macaroons PART 4 - MICROSERVICE APIs IN KUBERNETES 10 Microservice APIs in Kubernetes 11 Securing service-to-service APIs PART 5 - APIs FOR THE INTERNET OF THINGS 12 Securing IoT communications 13 Securing IoT APIs

Programming with Python for Social Scientists

Author : Phillip D. Brooker
Publisher : SAGE
ISBN 13 : 1526486342
Total Pages : 370 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Programming with Python for Social Scientists by : Phillip D. Brooker

Download or read book Programming with Python for Social Scientists written by Phillip D. Brooker and published by SAGE. This book was released on 2019-12-09 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data become ′big′, fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these computing tools and algorithms are implemented. Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge. It guides you through the full research process, from question to publication, including: the fundamentals of why and how to do your own programming in social scientific research, questions of ethics and research design, a clear, easy to follow ′how-to′ guide to using Python, with a wide array of applications such as data visualisation, social media data research, social network analysis, and more. Accompanied by numerous code examples, screenshots, sample data sources, this is the textbook for social scientists looking for a complete introduction to programming with Python and incorporating it into their research design and analysis.