Python
| Author | : Guido van Rossum |
| Publisher | : |
| Total Pages | : 24 |
| Release | : 2000 |
| Genre | : |
| ISBN | : |
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Python Tutorial 3113 PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Python Tutorial 3113 PDF full book. Access full book title Python Tutorial 3113.
Python Tutorial
| Author | : Guido van Rossum |
| Publisher | : |
| Total Pages | : 156 |
| Release | : 2018-02-03 |
| Genre | : |
| ISBN | : 9781680921601 |
Download Python Tutorial Book in PDF, ePub and Kindle
The Python Tutorial introduces the reader informally to the basic concepts and features of the Python language and system. It helps to have a Python interpreter handy for hands-on experience, but all examples are self-contained, so the tutorial can be read off-line as well. Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, https: //www.python.org/, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications. For a description of standard objects and modules, see library-index. reference-index gives a more formal definition of the language. To write extensions in C or C++, read extending-index and c-api-index. There are also several books covering Python in depth. This tutorial does not attempt to be comprehensive and cover every single feature, or even every commonly used feature. Instead, it introduces many of Python's most noteworthy features, and will give you a good idea of the language's flavor and style. After reading it, you will be able to read and write Python modules and programs, and you will be ready to learn more about the various Python library modules described in library-index.
Python Programming with Oracle Database
| Author | : Ray Terrill |
| Publisher | : |
| Total Pages | : 176 |
| Release | : 2009-08-01 |
| Genre | : Database management |
| ISBN | : 9781608300136 |
Download Python Programming with Oracle Database Book in PDF, ePub and Kindle
Ray Terrill's Python Programming for Oracle Database is a detailed exploration of the ways in which the Python programming language can be used to interact with the Oracle Relational Database Management System (RDBMS). As evidenced by the table of contents, the book covers the broad spectrum of Python/Oracle interactions, including standard SQL, PL/SQL, connecting as a SYSDBA user, and object-oriented database interactions. The book also takes time to provide primer sections for both the Python programming language and the Oracle Database, in the hopes of facilitating an easier learning experience for beginners to either discipline. This book provides information and examples not available in any other Python book. The examples are detailed enough to provide a solid understanding of the topics they're meant to reinforce, while being explained in thorough detail to ensure comprehension of key concepts. There is little doubt that the book will quickly pay for itself, as the reader stands to add valuable skills to their technical arsenal through the material covered throughout in each of the chapters. Topics covered in the book: Installation of Python/Required Software Modules; Python Introduction; Oracle Introduction; Using SQL with Python to Interact with Oracle; Performing DBA Tasks with the Oracle Database Using Python; Using PL/SQL with Python; Using an Object-Relational Mapper to Connect Python and Oracle.
Fluent Python
| Author | : Luciano Ramalho |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 1069 |
| Release | : 2015-07-30 |
| Genre | : Computers |
| ISBN | : 1491946253 |
Download Fluent Python Book in PDF, ePub and Kindle
Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work
Django Girls Tutorial
| Author | : Django Girls |
| Publisher | : |
| Total Pages | : 128 |
| Release | : 2017-10-25 |
| Genre | : Computers |
| ISBN | : 9789888407200 |
Download Django Girls Tutorial Book in PDF, ePub and Kindle
Welcome to the Django Girls Tutorial! We are happy to see you here: ) In this tutorial, we will take you on a journey under the hood of web technologies, offering you a glimpse of all the bits and pieces that need to come together to make the web work as we know it. As with all unknown things, this is going to be an adventure - but no worries, since you already worked up the courage to be here, you'll be just fine: )
Learning Scrapy
| Author | : Dimitris Kouzis - Loukas |
| Publisher | : |
| Total Pages | : 270 |
| Release | : 2016-01-29 |
| Genre | : Computers |
| ISBN | : 9781784399788 |
Download Learning Scrapy Book in PDF, ePub and Kindle
Learn the art of efficient web scraping and crawling with PythonAbout This Book• Extract data from any source to perform real time analytics.• Full of techniques and examples to help you crawl websites and extract data within hours.• A hands-on guide to web scraping and crawling with real-life problems and solutionsWho This Book Is ForIf you are a software developer, data scientist, NLP or machine-learning enthusiast or just need to migrate your company's wiki from a legacy platform, then this book is for you. It is perfect for someone , who needs instant access to large amounts of semi-structured data effortlessly.What You Will Learn• Understand HTML pages and write XPath to extract the data you need• Write Scrapy spiders with simple Python and do web crawls• Push your data into any database, search engine or analytics system• Configure your spider to download files, images and use proxies• Create efficient pipelines that shape data in precisely the form you want• Use Twisted Asynchronous API to process hundreds of items concurrently• Make your crawler super-fast by learning how to tune Scrapy's performance• Perform large scale distributed crawls with scrapyd and scrapinghubIn DetailThis book covers the long awaited Scrapy v 1.0 that empowers you to extract useful data from virtually any source with very little effort. It starts off by explaining the fundamentals of Scrapy framework, followed by a thorough description of how to extract data from any source, clean it up, shape it as per your requirement using Python and 3rd party APIs. Next you will be familiarised with the process of storing the scrapped data in databases as well as search engines and performing real time analytics on them with Spark Streaming. By the end of this book, you will perfect the art of scarping data for your applications with easeStyle and approachIt is a hands on guide, with first few chapters written as a tutorial, aiming to motivate you and get you started quickly. As the book progresses, more advanced features are explained with real world examples that can be reffered while developing your own web applications.
Computer Vision
| Author | : Simon J. D. Prince |
| Publisher | : Cambridge University Press |
| Total Pages | : 599 |
| Release | : 2012-06-18 |
| Genre | : Computers |
| ISBN | : 1107011795 |
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A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.
Memristor Networks
| Author | : Andrew Adamatzky |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 716 |
| Release | : 2013-12-18 |
| Genre | : Computers |
| ISBN | : 3319026305 |
Download Memristor Networks Book in PDF, ePub and Kindle
Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage, neuromorphic circuits and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, Memristor Networks is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.
Machine Learning in Chemistry
| Author | : Hugh M. Cartwright |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 564 |
| Release | : 2020-07-15 |
| Genre | : Science |
| ISBN | : 1788017897 |
Download Machine Learning in Chemistry Book in PDF, ePub and Kindle
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
Introduction to Time Series Forecasting With Python
| Author | : Jason Brownlee |
| Publisher | : Machine Learning Mastery |
| Total Pages | : 359 |
| Release | : 2017-02-16 |
| Genre | : Mathematics |
| ISBN | : |
Download Introduction to Time Series Forecasting With Python Book in PDF, ePub and Kindle
Time series forecasting is different from other machine learning problems. The key difference is the fixed sequence of observations and the constraints and additional structure this provides. In this Ebook, finally cut through the math and specialized methods for time series forecasting. Using clear explanations, standard Python libraries and step-by-step tutorials you will discover how to load and prepare data, evaluate model skill, and implement forecasting models for time series data.
