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It's an essential skill that you should possess to keep ahead of the curve in this modern era of information technology. Developers can apply their knowledge of computational thinking to solve problems in multiple areas, including economics, mathematics, and artificial intelligence. This book begins by helping you get to grips with decomposition, pattern recognition, pattern generalization and abstraction, and algorithm design, along with teaching you how to apply these elements practically while designing solutions for challenging problems. You’ll then learn about various techniques involved in problem analysis, logical reasoning, algorithm design, clusters and classification, data analysis, and modeling, and understand how computational thinking elements can be used together with these aspects to design solutions. 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Development. Environments. The \u003cb\u003ePython\u003c/b\u003e interpreter's built-in interactive mode is the simplest development environment for \u003cb\u003ePython\u003c/b\u003e. It is a bit primitive, but it is lightweight, has ... \u003cb\u003ePython\u003c/b\u003e IDEs Platform-Specific Free \u003cb\u003ePython\u003c/b\u003e IDEs." } }, { "kind": "books#volume", "id": "spNqDwAAQBAJ", "etag": "vu7xSXCmRLU", "selfLink": "https://www.googleapis.com/books/v1/volumes/spNqDwAAQBAJ", "volumeInfo": { "title": "Learn to Program with Python 3", "subtitle": "A Step-by-Step Guide to Programming", "authors": [ "Irv Kalb" ], "publisher": "Apress", "publishedDate": "2018-08-22", "description": "Move from zero knowledge of programming to comfortably writing small to medium-sized programs in Python. 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Use coroutines and tasks alongside async/await syntax to run code concurrently Build web APIs and make concurrency web requests with aiohttp Run thousands of SQL queries concurrently Create a map-reduce job that can process gigabytes of data concurrently Use threading with asyncio to mix blocking code with asyncio code Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python's performance by applying a variety of concurrency techniques. You'll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio's APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading. About the technology It’s easy to overload standard Python and watch your programs slow to a crawl. Th e asyncio library was built to solve these problems by making it easy to divide and schedule tasks. It seamlessly handles multiple operations concurrently, leading to apps that are lightning fast and scalable. About the book Python Concurrency with asyncio introduces asynchronous, parallel, and concurrent programming through hands-on Python examples. Hard-to-grok concurrency topics are broken down into simple flowcharts that make it easy to see how your tasks are running. You’ll learn how to overcome the limitations of Python using asyncio to speed up slow web servers and microservices. You’ll even combine asyncio with traditional multiprocessing techniques for huge improvements to performance. What's inside Build web APIs and make concurrency web requests with aiohttp Run thousands of SQL queries concurrently Create a map-reduce job that can process gigabytes of data concurrently Use threading with asyncio to mix blocking code with asyncio code About the reader For intermediate Python programmers. No previous experience of concurrency required. About the author Matthew Fowler has over 15 years of software engineering experience in roles from architect to engineering director. Table of Contents 1 Getting to know asyncio 2 asyncio basics 3 A first asyncio application 4 Concurrent web requests 5 Non-blocking database drivers 6 Handling CPU-bound work 7 Handling blocking work with threads 8 Streams 9 Web applications 10 Microservices 11 Synchronization 12 Asynchronous queues 13 Managing subprocesses 14 Advanced asyncio", "industryIdentifiers": [ { "type": "ISBN_13", "identifier": "9781638357087" }, { "type": "ISBN_10", "identifier": "1638357080" } ], "readingModes": { "text": true, "image": false }, "pageCount": 374, "printType": "BOOK", "categories": [ "Computers" ], "maturityRating": "NOT_MATURE", "allowAnonLogging": true, "contentVersion": "1.5.4.0.preview.2", "panelizationSummary": { "containsEpubBubbles": false, "containsImageBubbles": false }, "imageLinks": { "smallThumbnail": "http://books.google.com/books/content?id=M9xdEAAAQBAJ&printsec=frontcover&img=1&zoom=5&edge=curl&source=gbs_api", "thumbnail": "http://books.google.com/books/content?id=M9xdEAAAQBAJ&printsec=frontcover&img=1&zoom=1&edge=curl&source=gbs_api" }, "language": "en", "previewLink": "http://books.google.com/books?id=M9xdEAAAQBAJ&pg=PT410&dq=Python&hl=&cd=7&source=gbs_api", "infoLink": "https://play.google.com/store/books/details?id=M9xdEAAAQBAJ&source=gbs_api", "canonicalVolumeLink": "https://play.google.com/store/books/details?id=M9xdEAAAQBAJ" }, "saleInfo": { "country": "US", "saleability": "FOR_SALE", "isEbook": true, "listPrice": { "amount": 49.99, "currencyCode": "USD" }, "retailPrice": { "amount": 49.99, "currencyCode": "USD" }, "buyLink": "https://play.google.com/store/books/details?id=M9xdEAAAQBAJ&rdid=book-M9xdEAAAQBAJ&rdot=1&source=gbs_api", "offers": [ { "finskyOfferType": 1, "listPrice": { "amountInMicros": 49990000, "currencyCode": "USD" }, "retailPrice": { "amountInMicros": 49990000, "currencyCode": "USD" }, "giftable": true } ] }, "accessInfo": { "country": "US", "viewability": "PARTIAL", "embeddable": true, "publicDomain": false, "textToSpeechPermission": "ALLOWED_FOR_ACCESSIBILITY", "epub": { "isAvailable": true, "acsTokenLink": "http://books.google.com/books/download/Python_Concurrency_with_asyncio-sample-epub.acsm?id=M9xdEAAAQBAJ&format=epub&output=acs4_fulfillment_token&dl_type=sample&source=gbs_api" }, "pdf": { "isAvailable": false }, "webReaderLink": "http://play.google.com/books/reader?id=M9xdEAAAQBAJ&hl=&source=gbs_api", "accessViewStatus": "SAMPLE", "quoteSharingAllowed": false }, "searchInfo": { "textSnippet": "... \u003cb\u003ePython\u003c/b\u003e interpreter runs single-threaded within a process, meaning that only one piece of \u003cb\u003ePython\u003c/b\u003e bytecode can be running at one time even if we have code running in multiple threads. 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