Month: February 2017

Mastering Python Regular Expressions

| February 28, 2017 | admin | 0

By Victor Romero

Leverage common expressions in Python even for the main advanced features

About This Book

  • Explore the workings of normal Expressions in Python
  • Learn all approximately optimizing general expressions utilizing RegexBuddy
  • Full of functional and step by step examples, assistance for functionality, and options for performance-related difficulties confronted by way of clients everywhere in the world

Who This ebook Is For

This ebook is aimed toward Python builders who are looking to how one can leverage standard Expressions in Python. easy wisdom of Python is needed for a greater understanding.

What you are going to Learn

  • Explore the commonplace expressions syntax
  • Improve the clarity and destiny upkeep of the regex
  • Find strategies for common issues of average expressions
  • Familiarize your self with fit and seek operations
  • Leverage the go searching strategy to create robust average expressions
  • Gain perception at the makes use of of Groups
  • Get to grasp how the regex engine works in the course of the Backtracking process
  • Enhance the functionality of your average expressions

In Detail

Regular expressions are utilized by many textual content editors, utilities, and programming languages to look and control textual content in line with styles. they're thought of the Swiss military knife of textual content processing. robust seek, substitute, extraction and validation of strings, repetitive and intricate projects are lowered to an easy development utilizing standard expressions.

Mastering Python typical Expressions will educate you approximately common Expressions, ranging from the fundamentals, regardless of the language getting used, after which it is going to enable you use them in Python. you'll research the finer information of what Python helps and the way to do it, and the variations among Python 2.x and Python 3.x.

The publication begins with a basic assessment of the idea at the back of the standard expressions to persist with with an summary of the Python regex module implementation, after which strikes directly to complicated issues like grouping, taking a look round, and performance.

You will discover the way to leverage normal Expressions in Python, a few complex points of normal Expressions and in addition tips to degree and increase their functionality. you'll get a greater figuring out of the operating of alternators and quantifiers. additionally, you'll understand the significance of grouping earlier than ultimately relocating directly to functionality optimization ideas just like the RegexBuddy device and Backtracking.

Mastering Python usual Expressions presents all of the details crucial for a greater realizing of normal Expressions in Python.

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Learning QGIS - Third Edition

| February 28, 2017 | admin | 0

Key Features

  • Learn how you can paintings with numerous info and create attractive maps utilizing this easy-to-follow guide.
  • Give a marginally of professionalism in your maps either for performance and feel and appear with assistance from this functional guide.
  • A revolutionary hands-on consultant that builds on a geo-spatial facts and provides extra reactive maps by utilizing geometry tools.

Book Description

QGIS is a uncomplicated open resource geographic info approach (GIS) that runs on Linux, Unix, Mac OS X, and home windows. the recognition of open resource geographic info platforms and QGIS particularly has been growing to be quickly over the past few years.

Learning QGIS 3rd version is a realistic, hands-on consultant up-to-date for QGIS 2.14 that gives you with transparent, step by step workouts that will help you practice your GIS wisdom to QGIS. via transparent, functional routines, this publication will introduce you to operating with QGIS speedy and painlessly.

This e-book takes you from fitting and configuring QGIS to dealing with spatial info to making nice maps. you are going to find out how to load and visualize present spatial information and create info from scratch. you'll get to grasp vital plugins, practice universal geoprocessing and spatial research projects and automate them with Processing.

We will disguise find out how to in attaining nice cartographic output and print maps. eventually, you are going to the right way to expand QGIS utilizing Python or even create your individual plugin.

What you are going to learn

  • Install QGIS and get acquainted with the consumer interface
  • Load vector and raster facts from records, databases, and internet services
  • Create, visualize, and edit spatial data
  • Perform geoprocessing initiatives and automate them
  • Create complex cartographic outputs
  • Design nice print maps
  • Expand QGIS utilizing Python

About the Author

Anita Graser studied geomatics on the college of technologies Wiener Neustadt, Austria, from the place she graduated with a master's measure in 2010. in the course of her reports, she received hands-on event within the fields of geo-marketing and transportation study. on account that 2007, she has been operating as a geographic details structures (GIS) specialist with the dynamic transportation structures crew on the Austrian Institute of know-how (AIT), the place she makes a speciality of examining and visualizing spatio-temporal information. Anita serves at the OSGeo board of administrators and the QGIS undertaking guidance committee. She has been operating with GIS due to the fact 2005, presents QGIS education classes, and writes a favored web publication on open resource GIS at anitagraser.com.

Table of Contents

  1. Getting all started with QGIS
  2. Viewing Spatial Data
  3. Data construction and Editing
  4. Spatial Analysis
  5. Creating nice Maps
  6. Extending QGIS with Python

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Mastering Regular Expressions

| February 28, 2017 | admin | 0

Regular expressions are a really robust instrument for manipulating textual content and knowledge. they're now average beneficial properties in a variety of languages and renowned instruments, together with Perl, Python, Ruby, Java, VB.NET and C# (and any language utilizing the .NET Framework), Hypertext Preprocessor, and MySQL.

If you do not use average expressions but, you can find during this booklet an entire new global of mastery over your info. if you happen to already use them, you will savor this book's remarkable element and breadth of insurance. should you imagine you recognize all you must learn about regularexpressions, this e-book is a gorgeous eye-opener.

As this ebook indicates, a command of normal expressions is a useful ability. usual expressions let you code complicated and refined textual content processing that you just by no means imagined might be computerized. general expressions can prevent time and aggravation. they are often used to craft dependent ideas to a variety of difficulties. as soon as you've gotten mastered common expressions, they're going to develop into a useful a part of your toolkit. you are going to ask yourself the way you ever acquired via with no them.

Yet regardless of their huge availability, flexibility, and extraordinary energy, average expressions are usually underutilized. but what's strength within the fingers of a professional will be fraught with peril for the unwary. Mastering common Expressions can assist you navigate the minefield to changing into knowledgeable and assist you optimize your use of normal expressions.

Mastering typical Expressions, 3rd version, now incorporates a complete bankruptcy dedicated to Hypertext Preprocessor and its strong and expressive suite of standard expression capabilities, as well as superior personal home page insurance within the critical "core" chapters. moreover, this version has been up to date all through to mirror advances in different languages, together with improved in-depth assurance of Sun's java.util.regex package deal, which has emerged because the ordinary Java regex implementation.Topics include:

  • A comparability of good points between diverse types of many languages and tools
  • How the normal expression engine works
  • Optimization (major discount rates to be had here!)
  • Matching simply what you will want, yet no longer what you do not want
  • Sections and chapters on person languages

Written within the lucid, exciting tone that makes a fancy, dry subject develop into crystal-clear to programmers, and sprinkled with options to complicated real-world difficulties, Mastering standard Expressions, 3rd variation bargains a wealth details so you might positioned to immediateuse.

Reviews of this re-creation and the second one edition:

"There is not a greater (or extra valuable) e-book on hand on general expressions."

--Zak Greant, dealing with Director, eZ Systems

"A genuine tour-de-force of a ebook which not just covers the mechanics of regexes in awesome aspect but additionally talks approximately potency and using regexes in Perl, Java, and .NET...If you utilize ordinary expressions as a part of your specialist paintings (even should you have already got an outstanding publication on no matter what language you are programming in) i might strongly suggest this ebook to you."

--Dr. Chris Brown, Linux Format

"The writer does a superb task prime the reader from regexnovice to grasp. The e-book is intensely effortless to learn and chock complete ofuseful and suitable examples...Regular expressions are worthwhile toolsthat each developer must have of their toolbox. Mastering RegularExpressions is the definitive consultant to the topic, and an outstandingresource that belongs on each programmer's bookshelf. Ten out of TenHorseshoes."

--Jason Menard, Java Ranch

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Python Cookbook, Third edition

| February 28, 2017 | admin | 0

By Brian K. Jones

If you would like aid writing courses in Python three, or are looking to replace older Python 2 code, this e-book is simply the price tag. filled with functional recipes written and verified with Python 3.3, this special cookbook is for knowledgeable Python programmers who are looking to specialise in glossy instruments and idioms.

Inside, you’ll locate entire recipes for greater than a dozen issues, protecting the center Python language in addition to initiatives universal to a wide selection of software domain names. each one recipe comprises code samples you should use on your tasks instantly, besides a dialogue approximately how and why the answer works.

Topics include:

  • Data buildings and Algorithms
  • Strings and Text
  • Numbers, Dates, and Times
  • Iterators and Generators
  • Files and I/O
  • Data Encoding and Processing
  • Functions
  • Classes and Objects
  • Metaprogramming
  • Modules and Packages
  • Network and internet Programming
  • Concurrency
  • Utility Scripting and process Administration
  • Testing, Debugging, and Exceptions
  • C Extensions

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Foundations of Python Network Programming

| February 28, 2017 | admin | 0

By Brandon Rhodes

Foundations of Python community Programming, Third Edition, covers all the vintage subject matters present in the second one variation of this booklet, together with community protocols, community info and error, e mail, server structure, and HTTP and internet functions, plus updates for Python 3.

Some of the hot issues during this variation include:

• broad assurance of the up to date SSL help in Python 3

• how you can write your personal asynchronous I/O loop.

• an outline of the "asyncio" framework that includes Python 3.4.

• How the Flask internet framework connects URLs in your Python code.

• How cross-site scripting and cross-site request forgery can be utilized to assault your website, and the way to guard opposed to them.

• How a full-stack internet framework like Django can automate the around journey out of your database to the display and back.

If you are a Python programmer who wishes a deep figuring out of the way to take advantage of Python for network-related initiatives and functions, this can be the booklet for you. From net software builders, to platforms integrators, to process administrators—this e-book has every thing you might want to know.

What you’ll learn

• huge assurance of the up to date SSL aid in Python 3

• tips to write your individual asynchronous I/O loop.

• an summary of the "asyncio" framework that incorporates Python 3.4.

• How the Flask net framework connects URLs for your Python code.

• How cross-site scripting and cross-site request forgery can be utilized to assault your site, and the way to guard opposed to them.

• How a full-stack internet framework like Django can automate the around journey out of your database to the monitor and back.

• up to date insurance of community protocol layers and knowledge encodings

• How Python three works with community exception handling

• how one can use the requests library rather than urllib2

• extended insurance of Python net frameworks

• tips on how to paintings with internet purposes and email

Who this publication is for

if you are a Python programmer who wishes a deep knowing of the way to exploit Python for network-related initiatives and functions, this is often the booklet for you. From net software builders, to platforms integrators, to procedure administrators—this ebook has every thing it's essential know.

Table of Contents

  1. Introduction to Client/Server Networking
  2. UDP
  3. TCP
  4. Socket Names and DNS
  5. Network information and community blunders
  6. TLS and SSL
  7. Server structure
  8. Caches, Message Queues, and Map-Reduce
  9. HTTP
  10. Screen Scraping
  11. Web functions
  12. E-mail Composition and deciphering
  13. SMTP
  14. POP
  15. IMAP
  16. Other technologies: Telnet, SSH, and FTP
  17. RPC
  18. System management

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Introduction to Computer Science Using Python: A Computational Problem-Solving Focus

| February 28, 2017 | admin | 0

By Charles Dierbach

Introduction to desktop technological know-how utilizing Python: A Computational Problem-Solving Focus,recommended by means of Guido van Rossum, the writer of Python (“This isn't your general Python book…I imagine this publication is a brilliant textual content for a person educating CS1”). With a spotlight on computational challenge fixing from bankruptcy 1, this article offers a number of hands-on workouts and examples, each one bankruptcy finishing with a significant-size software demonstrating the step by step means of application improvement, trying out, and debugging. a last bankruptcy comprises the heritage of computing, beginning with Charles Babbage, containing over sixty five historic photos. An end-of-book Python three Programmers’ Reference is usually integrated for speedy search for of Python information. huge teacher fabrics are supplied for these adopting for lecture room use, together with an teachers’ guide, over 1,000 well-developed slides masking all basic subject matters of every bankruptcy, resource code, and try out bank. 

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Exploring Python

| February 28, 2017 | admin | 0

By Timothy Budd

Exploring Python takes an lively studying procedure which engages the coed as an equivalent associate within the technique of studying the thrill, academic, and strong programming language. This procedure instills conduct that scholars will hold with them all through their programming profession and is helping them hold and use the data they've got discovered.

Tim Budd is likely one of the best-known authors in desktop technology and has a name for generating writing texts alongside the forefront of the self-discipline. Exploring Python offers an available and trustworthy creation into programming with the Python language.

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Starting Out with Python, Global Edition (3rd Edition)

| February 28, 2017 | admin | 0

By Tony Gaddis

This article is meant for a one-semester introductory programming path for college kids with constrained programming experience.

In Starting Out with Python®, 3rd Edition Tony Gaddis’ evenly-paced, available insurance introduces scholars to the fundamentals of programming and prepares them to transition into extra complex languages. Python, an easy-to-learn and more and more well known object-oriented language, permits readers to develop into happy with the basics of programming with no the tricky syntax that may be tough for newbies. With the information got utilizing Python, scholars achieve self belief of their abilities and discover ways to realize the good judgment in the back of constructing high quality programs.

Starting Out with Python discusses regulate constructions, features, arrays, and tips ahead of gadgets and sessions. as with any Gaddis texts, transparent and easy-to-read code listings, concise and sensible real-world examples, detail-oriented reasons, and an abundance of workouts look in each chapter.

Teaching and studying Experience

This application provides a greater instructing and studying experience–for you and your scholars. it's going to help:

  • Enhance studying with the Gaddis technique: Gaddis’s available strategy good points transparent and easy-to-read code listings, concise real-world examples, and workouts in each chapter.
  • Support teachers and scholars: scholar and teacher assets can be found to extend at the issues awarded within the text.
  • Keep Your path present: This edition’s courses were established with Python 3.3.2.

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Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (3rd Edition) (Zed Shaw's Hard Way Series)

| February 28, 2017 | admin | 0

You Will Learn Python!

 

Zed Shaw has perfected the world's most sensible approach for studying Python. keep on with it and you'll succeed-just just like the thousands of newbies Zed has taught to this point! You carry the self-discipline, dedication, and endurance; the writer offers every little thing else.

 

In Learn Python the demanding method, 3rd Edition, you will research Python by way of operating via fifty two brilliantly crafted routines. learn them. variety their code precisely. (No copying and pasting!) repair your error. Watch the courses run. As you do, you will learn the way software program works; what reliable courses seem like; how one can learn, write, and examine code; and the way to discover and attach your errors utilizing tips expert programmers use. most significantly, you are going to research the subsequent, that you have to commence writing first-class Python software program of your own:

  • Installing a whole Python environment
  • Organizing and writing code
  • Basic mathematics
  • Variables
  • Strings and text
  • Interacting with users
  • Working with files
  • Looping and logic
  • Data constructions utilizing lists and dictionaries
  • Program design
  • Object-oriented programming
  • Inheritance and composition
  • Modules, sessions, and objects
  • Python packaging
  • Debugging
  • Automated testing
  • Basic video game development
  • Basic internet development

It'll be tough firstly. yet quickly, you are going to simply get it-and that would believe nice!

 

This educational will present you for each minute you place into it. quickly, you will be aware of one of many world's strongest, well known programming languages. you can be a Python programmer.

 

Watch Zed, too! The accompanying DVD includes five+ hours of passionate, strong instructing: a whole Python video course!

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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

| February 28, 2017 | admin | 0

By Wes McKinney

Python for facts Analysis is anxious with the nuts and bolts of manipulating, processing, cleansing, and crunching facts in Python. it's also a realistic, smooth advent to medical computing in Python, adapted for data-intensive functions. it is a publication in regards to the components of the Python language and libraries you’ll have to successfully clear up a vast set of information research difficulties. This e-book isn't an exposition on analytical equipment utilizing Python because the implementation language.

Written by way of Wes McKinney, the most writer of the pandas library, this hands-on e-book is jam-packed with useful circumstances reviews. It’s excellent for analysts new to Python and for Python programmers new to clinical computing.

  • Use the IPython interactive shell as your fundamental improvement environment
  • Learn simple and complicated NumPy (Numerical Python) features
  • Get begun with facts research instruments within the pandas library
  • Use high-performance instruments to load, fresh, rework, merge, and reshape data
  • Create scatter plots and static or interactive visualizations with matplotlib
  • Apply the pandas groupby facility to slice, cube, and summarize datasets
  • Measure information via time cut-off dates, no matter if it’s particular cases, mounted sessions, or intervals
  • Learn find out how to resolve difficulties in net analytics, social sciences, finance, and economics, via designated examples

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