Dive Into Python 3

Author: Mark Pilgrim

Publisher: Springer

ISBN: 1430224150

Category: Computers

Page: 360

View: 4285

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Here is the ideal hands-on introduction to the latest version of python for existing developers. Its unique style of giving code first and then picking it apart is ideally suited for those who want to understand the new version of the language quickly.
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Dive Into Python

Author: Mark Pilgrim

Publisher: Apress

ISBN: 1430207000

Category: Computers

Page: 432

View: 1275

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* Quick start to learning python—very example oriented approach * Book has its own Web site established by the author: http://diveintopython.org/ Author is well known in the Open Source community and the book has a unique quick approach to learning an object oriented language.
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PostgreSQL 9.0 Official Documentation - Volume III. Server Programming

Author: Postgresql Global Development Group

Publisher: Fultus Corporation

ISBN: 1596822481

Category: Computers

Page: 282

View: 4128

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This book is part of the PostgreSQL 9.0 documentation collection (up-to-date & full), published by Fultus Corporation. PostgreSQL 9.0 includes built-in, binary replication, and over a dozen other major features which will appeal to everyone from web developers to database hackers.
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NumPy: Beginner's Guide

Author: Ivan Idris

Publisher: Packt Publishing Ltd

ISBN: 1785288830

Category: Computers

Page: 348

View: 3013

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In today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy will give you both speed and high productivity. This book will walk you through NumPy with clear, step-by-step examples and just the right amount of theory. The book focuses on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier transform, finding the inverse of a matrix, and determining eigenvalues, among many others. This book is a one-stop solution to knowing the ins and outs of the vast NumPy library, empowering you to use its wide range of mathematical features to build efficient, high-speed programs.
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Practical Web Scraping for Data Science

Best Practices and Examples with Python

Author: Seppe vanden Broucke,Bart Baesens

Publisher: Apress

ISBN: 1484235827

Category: Computers

Page: 306

View: 9644

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This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist’s arsenal, as many data science projects start by obtaining an appropriate data set. Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you've learned and illustrate various data science use cases. What You'll Learn Leverage well-established best practices and commonly-used Python packages Handle today's web, including JavaScript, cookies, and common web scraping mitigation techniques Understand the managerial and legal concerns regarding web scraping Who This Book is For A data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well.
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Web Component Development with Zope 3

Author: Philipp Weitershausen

Publisher: Springer Science & Business Media

ISBN: 354033808X

Category: Computers

Page: 564

View: 2552

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The concepts of Zope 3 and its component architecture are explained thoroughly, continually accompanied by a demo application. Special sections for Zope 2 developers cover the basic differences to the predecessor.
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Learning Python

Powerful Object-Oriented Programming

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

ISBN: 1449355692

Category: Computers

Page: 1600

View: 6532

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Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
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HTML5

Up and Running

Author: Mark Pilgrim

Publisher: "O'Reilly Media, Inc."

ISBN: 0596806027

Category: Computers

Page: 205

View: 9231

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Provides information on the elements on HTML, offers code examples, and describes how to build accessible markup.
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Mastering Geospatial Analysis with Python

Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

Author: Silas Toms,Paul Crickard,Eric van Rees

Publisher: Packt Publishing Ltd

ISBN: 1788293819

Category: Computers

Page: 440

View: 8687

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Explore GIS processing and learn to work with various tools and libraries in Python. Key Features Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas Leverage new ArcGIS API to process geospatial data for the cloud. Explore various Python geospatial web and machine learning frameworks. Book Description Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API. What you will learn Manage code libraries and abstract geospatial analysis techniques using Python 3. Explore popular code libraries that perform specific tasks for geospatial analysis. Utilize code libraries for data conversion, data management, web maps, and REST API creation. Learn techniques related to processing geospatial data in the cloud. Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite. Who this book is for The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3.
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Introducing Python

Modern Computing in Simple Packages

Author: Bill Lubanovic

Publisher: "O'Reilly Media, Inc."

ISBN: 1449361188

Category: Computers

Page: 484

View: 6041

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Easy to understand and fun to read, Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages. Learn simple data types, and basic math and text operations Use data-wrangling techniques with Python’s built-in data structures Explore Python code structure, including the use of functions Write large programs in Python, with modules and packages Dive into objects, classes, and other object-oriented features Examine storage from flat files to relational databases and NoSQL Use Python to build web clients, servers, APIs, and services Manage system tasks such as programs, processes, and threads Understand the basics of concurrency and network programming
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