The Python Standard Library by Example (Developer's Library) by Doug Hellmann

By Doug Hellmann

The Python normal Library comprises 1000s of modules for interacting with the working approach, interpreter, and Internet—all generally confirmed and able to jump-start your software improvement. The Python regular Library by means of instance introduces almost each vital quarter of the Python 2.7 library via concise, stand-alone resource code/output examples, designed for simple studying and reuse.

Building on his well known Python Module of the Week web publication sequence, writer and Python professional Doug Hellmann specializes in “showing” now not “telling.” He explains code habit via downloadable examples that absolutely show every one characteristic.

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Python in a Nutshell (2nd Edition) by Alex Martelli

By Alex Martelli

Python in a Nutshell presents a pretty good, no-nonsense fast connection with details that programmers depend upon the main. This e-book will instantly earn its position in any Python programmer's library.

This ebook deals Python programmers one position to seem once they need assistance remembering or interpreting the syntax of this open resource language and its many robust yet scantily documented modules. This complete reference advisor makes it effortless to appear up the main usually wanted information--not on the subject of the Python language itself, but additionally the main usually used elements of the traditional library and an important third-party extensions.

Ask any Python aficionado and you'll listen that Python programmers have all of it: a sublime object-oriented language with readable and maintainable syntax, that permits for simple integration with elements in C, C++, Java, or C#, and a massive choice of precoded ordinary library and third-party extension modules. in addition, Python is simple to benefit, but robust sufficient to tackle the main bold programming demanding situations. yet what Python programmers used to lack is a concise and transparent reference source, with the suitable degree of steerage in how most sensible to take advantage of Python's nice strength. Python in a Nutshell fills this need.

Python in a Nutshell, moment Edition covers greater than the language itself; it additionally bargains with the main often used elements of the traditional library, and the preferred and significant 3rd get together extensions. Revised and extended for Python 2.5, this booklet now includes the gory information of Python's new subprocess module and breaking information approximately Microsoft's new IronPython venture. Our "Nutshell" layout matches Python completely via providing the highlights of an important modules and services in its usual library, which conceal over ninety% of your functional programming wishes. This publication includes:

* A fast moving instructional at the syntax of the Python language
* an evidence of object-oriented programming in Python
* assurance of iterators, turbines, exceptions, modules, applications, strings, and usual expressions
* a short reference for Python's integrated kinds and features and key modules
* Reference fabric on very important third-party extensions, akin to Numeric and Tkinter
* information regarding extending and embedding Python

Python in a Nutshell offers a fantastic, no-nonsense quickly connection with details that programmers depend upon the main. This publication will instantly earn its position in any Python programmer's library.

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Pro Python System Administration by Rytis Sileika

By Rytis Sileika

As time is going on, procedure directors are provided with more and more advanced demanding situations. within the early days, a workforce of engineers may have needed to take care of one or platforms. nowadays, one engineer can administer hundreds of thousands or hundreds of thousands of systems.

System directors are progressively changing their instruments with extra complicated and versatile ones. one of many offerings is Python. Structurally, Python is a latest, high-level language with a truly fresh syntax. Python comes with many integrated libraries that could make automation initiatives more straightforward. It additionally has broad set of third-party libraries and a really energetic improvement group. this pliability makes Python a good selection for a wide selection of projects, from prototyping technological know-how purposes to method upkeep and management jobs.
* This booklet explains and indicates tips to practice Python scripting in perform. in contrast to nearly all of the Python books, it's going to help you method and unravel real-world matters that almost all approach directors will stumble upon of their careers.
* during this e-book, you will discover numerous initiatives within the different types of community management, internet server management, and tracking and database administration. In each one undertaking, we are going to outline the matter, layout the answer, and wade through the extra attention-grabbing implementation steps.
* every one venture is followed with the resource code of an absolutely operating prototype, which you’ll have the ability to use instantly or adapt in your requisites and setting.
<h3>What you’ll learn</h3> * remedy real-world approach management difficulties utilizing Python.
* deal with units with SNMP and cleaning soap.
* construct a dispensed tracking approach.
* deal with internet functions and parse advanced log records.
* instantly visual display unit and deal with MySQL databases.
<h3>Who this booklet is for</h3>
This ebook is basically aimed toward skilled procedure directors whose day by day initiatives contain taking care of and coping with small-to-medium-sized server estates. it's going to even be precious for approach directors who are looking to examine extra approximately automation and need to use their Python wisdom to resolve numerous method management problems.

Python builders also will make the most of analyzing this ebook, specially in the event that they are fascinated by constructing automation and administration tools.

This e-book assumes that readers already use Python and are happy with the language. many of the Linux distributions include Python and diverse libraries (such as Django, PIL and SciPy) packaged and on hand, yet easy wisdom of putting in programs in a Linux/Unix surroundings is advised.
<h3>Table of Contents</h3>
<ol> *  Reading and amassing functionality info utilizing SNMP1 
* coping with units utilizing the cleaning soap API  
* making a internet program for IP tackle Accountancy   
* Integrating the IP tackle program with DHCP 
* keeping a listing of digital Hosts in an Apache Configuration File   
* collecting and offering Statistical information from Apache Log Files  
* acting advanced Searches and Reporting on program Log Files   
* a website Availability cost Script for Nagios  
* administration and tracking Subsystem  
* distant tracking Agents 
* information amassing and Reporting   
* automated MySQL Database functionality Tuning  
* utilizing Amazon EC2/S3 as a knowledge Warehouse resolution
</ol>

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Mastering Regular Expressions (3rd Edition) by Jeffrey E. F. Friedl

By Jeffrey E. F. Friedl

Regular expressions are a really robust device for manipulating textual content and information. they're now regular positive aspects in quite a lot 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 happen to don't use commonplace expressions but, you can find during this booklet an entire new global of mastery over your facts. if you happen to already use them, you'll get pleasure from this book's unparalleled aspect and breadth of assurance. should you imagine you recognize all you want to find out about commonplace expressions, this e-book is a gorgeous eye-opener.

As this ebook indicates, a command of standard expressions is a useful ability. average expressions let you code complicated and refined textual content processing that you simply by no means imagined will be automatic. average expressions can prevent time and aggravation. they are often used to craft based ideas to a variety of difficulties. as soon as you've mastered usual expressions, they'll turn into a useful a part of your toolkit. you'll ask yourself the way you ever received by means of with no them.

but regardless of their huge availability, flexibility, and remarkable energy, usual expressions are usually underutilized. but what's strength within the arms of knowledgeable might be fraught with peril for the unwary. Mastering usual Expressions might help you navigate the minefield to turning into a professional and assist you optimize your use of normal expressions.

Mastering standard Expressions, 3rd variation, now encompasses a complete bankruptcy dedicated to Hypertext Preprocessor and its strong and expressive suite of normal expression capabilities, as well as superior Hypertext Preprocessor insurance within the critical "core" chapters. additionally, this variation has been up-to-date all through to mirror advances in different languages, together with multiplied in-depth insurance of Sun's java.util.regex package deal, which has emerged because the average Java regex implementation.Topics include:
* A comparability of good points between diverse types of many languages and tools
* How the general expression engine works
* Optimization (major discounts on hand here!)
* Matching simply what you will have, yet no longer what you don't want
* Sections and chapters on person languages

Written within the lucid, exciting tone that makes a fancy, dry subject turn into crystal-clear to programmers, and sprinkled with ideas to advanced real-world difficulties, Mastering commonplace Expressions, 3rd version deals a wealth info for you to positioned to instant use.

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

"There isn't a greater (or extra priceless) publication to be had on common expressions."

--Zak Greant, dealing with Director, eZ Systems

"A actual tour-de-force of a ebook which not just covers the mechanics of regexes in remarkable element but in addition talks approximately potency and using regexes in Perl, Java, and .NET...If you employ ordinary expressions as a part of your specialist paintings (even when you have already got a very good ebook on no matter what language you're programming in) i'd strongly suggest this ebook to you."

--Dr. Chris Brown, Linux Format

"The writer does an excellent activity major the reader from regex amateur to grasp. The ebook is intensely effortless to learn and chock jam-packed with precious and suitable examples...Regular expressions are worthwhile instruments that each developer must have of their toolbox. Mastering usual Expressions is the definitive advisor to the topic, and an excellent source that belongs on each programmer's bookshelf. Ten out of Ten Horseshoes."

--Jason Menard, Java Ranch

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Python Text Processing with NLTK 2.0 Cookbook by Jacob Perkins

By Jacob Perkins

Use Python's NTLK suite of libraries to maximise your typical Language Processing capabilities.
* quick become familiar with normal Language Processing - with textual content research, textual content Mining, and beyond.
* learn the way machines and crawlers interpret and strategy typical languages.
* simply paintings with large quantities of information and find out how to deal with disbursed processing.
* a part of Packt's Cookbook sequence: each one recipe is a delicately geared up series of directions to accomplish the duty as successfully as possible.

In Detail

Natural Language Processing is used all over the place - in se's, spell checkers, cellphones, machine video games - even your washer. Python's common Language Toolkit (NTLK) suite of libraries has quickly emerged as some of the most effective instruments for usual Language Processing. you must hire not anything below the simplest suggestions in typical Language Processing - and this booklet is your answer.

Python textual content Processing with NTLK 2.0 Cookbook is your convenient and illustrative advisor, in order to stroll you thru all of the typical Language Processing concepts in a step by step demeanour. it's going to demystify the complex beneficial properties of textual content research and textual content mining utilizing the excellent NTLK suite.

This ebook cuts brief the preamble and also you dive correct into the technology of textual content processing with a realistic hands-on approach.

Get started out with studying tokenization of textual content. Get an summary of WordNet and the way to exploit it. research the fundamentals in addition to complicated good points of Stemming and Lemmatization. become aware of numerous how you can change phrases with easier and extra universal (read: extra searched) versions. Create your individual corpora and discover ways to create customized corpus readers for JSON records in addition to for information kept in MongoDB. Use and control POS taggers. rework and normalize parsed chunks to provide a canonical shape with out altering their which means. Dig into function extraction and textual content class. simply deal with large quantities of knowledge with none loss in potency or speed.

This e-book will train you all that and past, in a hands-on learn-by-doing demeanour. Make your self a professional in utilizing the NTLK for normal Language Processing with this convenient companion.

What you'll research from this book
* examine textual content categorization and subject identification
* study Stemming and Lemmatization and the way to head past the standard spell checker
* exchange negations with antonyms on your text
* learn how to tokenize phrases into lists of sentences and phrases, and achieve an perception into WordNet
* rework and control chunks and trees
* research complicated beneficial properties of corpus readers and create your personal customized corpora
* Tag varied elements of speech by means of developing, education, and utilizing a part-of-speech tagger
* increase accuracy by way of combining a number of part-of-speech taggers
* easy methods to do partial parsing to extract small chunks of textual content from a part-of-speech tagged sentence
* Produce an alternate canonical shape with no altering the which means by way of normalizing parsed chunks
* find out how se's use ordinary Language Processing to method text
* Make your website extra discoverable by way of studying find out how to instantly substitute phrases with extra searched equivalents
* Parse dates, occasions, and HTML
* teach and manage varieties of classifiers

Approach

The learn-by-doing method of this e-book will allow you to dive correct into the guts of textual content processing from the first actual web page. each one recipe is punctiliously designed to meet your urge for food for typical Language Processing. full of a number of illustrative examples and code samples, it'll make the duty of utilizing the NTLK for usual Language Processing effortless and easy.

Who this booklet is written for

This publication is for Python programmers who are looking to fast become familiar with utilizing the NLTK for ordinary Language Processing. Familiarity with simple textual content processing techniques is needed. Programmers skilled within the NTLK also will locate it priceless. scholars of linguistics will locate it invaluable.

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Foundations of Agile Python Development (Expert's Voice in by Jeff Younker

By Jeff Younker

While you're trying to buy this ebook, and also you are within the yr 2010 or past, don't buy THIS ebook. Please proceed examining my evaluation under, besides the fact that, to appreciate why.

This publication is superseded because:

1. It has super targeted directions for utilizing eclipse (the IDE) with pydev, mylyn, and pydev-extensions. Eclipse has replaced much in view that this booklet used to be written, and the directions are not any longer exact. The pydev-extensions plugin does not truly exist anymore, it was once merged with pydev. this is complicated for brand spanking new clients attempting to get issues running.

2. The directions for buying buildbot working aren't any longer right. Buildbot has replaced a piece in addition, and the main points for deploy is diverse than it used to be.

3. It spends your time conversing approximately pMock, one among 2 python mock libraries, which hasn't been constructed for the reason that 2004 and is taken into account obsolete.

4. It spends it slow speaking approximately pyfit, which hasn't been labored on on account that 2006 and is additionally no longer quite often used.

Now, for my suggestions concerning the ebook itself:

I determined to provide this booklet a five celebrity evaluate since it is a superb book:

- the writer writes super good, and has a little bit humor during the book.
- the writer covers extensions why TDD is sweet, the way it is helping, and the way it may be used.
- the writer describes the differing kinds of checking out, and offers transparent, intuitive, and considerate examples that basically reveal *how to* do the testing.
- the writer covers super distinct setup / deploy / configuration of the instruments and improvement environments discussed.

The for the reason that i must no longer suggest any readers buy this publication notwithstanding, is that it truly is sorely short of an replace. I simply accomplished examining this booklet (August, 2010), and it's very transparent that it really is outmoded. This e-book may were super necessary years in the past, and perhaps additionally the 1st area of 2009, yet agile practices and instruments have replaced lots considering the fact that then that this ebook relatively should be rewritten.

My recommendation to readers who're contemplating buying this booklet is to take action provided that you're conscious of what you may be getting, yet wish to utilize the author's code examples, writing, and TDD motives whereas pushing aside the instruments used.

I particularly did get pleasure from studying this booklet, in spite of the fact that, and that i quite wish that Apress forces Jeff to unencumber a brand new replica.

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Learning Selenium Testing Tools with Python by Unmesh Gundecha

By Unmesh Gundecha

Selenium WebDriver is a well-liked computerized trying out software for net functions. Python is without doubt one of the best programming languages and whilst used with Selenium it could actually automate and attempt internet functions. utilizing Python's unittest module, you could write try out situations in Selenium. through the years, Selenium has develop into an important trying out platform and lots of enterprises are adopting Selenium WebDriver for developing automatic consumer interface tests.

The book's major objective is to hide the basics relating to Python Selenium trying out. you'll learn the way the Selenium WebDriver Python API might be built-in with CI and construct instruments to permit exams to be run whereas development functions. This e-book will advisor you thru utilizing the Selenium WebDriver Python consumer library in addition to different instruments from the Selenium venture. in the direction of the tip of this ebook, you'll familiarize yourself with Selenium Grid, that's used for working checks in parallel utilizing nodes for cross-browser checking out. it's going to additionally provide you with a easy review of the innovations, whereas supporting you enhance your sensible checking out talents with Python and Selenium.

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Learning Python Application Development by Ninad Sathaye

By Ninad Sathaye

Key Features

  • Get to grips with Python concepts that handle ordinarily encountered difficulties mostly program development.
  • Develop, package deal, and set up effective functions in a enjoyable way.
  • All-practical assurance of the foremost parts of program improvement, together with top practices, exception dealing with, trying out, refactoring, layout styles, functionality, and GUI software development.

Book Description

Python is without doubt one of the most generally used dynamic programming languages, supported through a wealthy set of libraries and frameworks that let fast improvement. yet fast-paced improvement frequently comes with its personal luggage which may carry down the standard, functionality, and extensibility of an program. This booklet will express you how to address such difficulties and write larger Python applications.

From the fundamentals of straightforward command-line purposes, improve your talents the entire option to designing effective and complicated Python apps. Guided via a light-hearted myth studying subject, conquer the real-world difficulties of advanced Python improvement with sensible options. starting with a spotlight on robustness, packaging, and liberating software code, you will stream directly to concentrate on enhancing software lifetime through making code extensible, reusable, and readable. familiarize yourself with Python refactoring, layout styles and most sensible practices. ideas to spot the bottlenecks and enhance functionality are coated in a sequence of chapters dedicated to functionality, ahead of last with a glance at constructing Python GUIs.

What you'll learn

  • Build a strong software by means of dealing with exceptions.
  • Modularize, package deal, and unencumber the resource distribution.
  • Document the code and enforce coding standards.
  • Create automatic checks to trap insects within the early improvement stage.
  • Identify and re-factor badly written code to enhance program life.
  • Detect habitual difficulties within the code and observe layout patterns.
  • Improve code potency through opting for functionality bottlenecks and solving them.
  • Develop easy GUI purposes utilizing Python.

About the Author

Ninad Sathaye has spent numerous years of his specialist profession designing and constructing performance-critical engineering functions written in a number of languages, together with Python and C++. He has labored as a software program architect within the semiconductor undefined, and extra lately within the area of web of items. He holds a master's measure in mechanical engineering.

Table of Contents

  1. Developing easy Applications
  2. Dealing with Exceptions
  3. Modularize, package deal, Deploy!
  4. Documentation and top Practices
  5. Unit checking out and Refactoring
  6. Design Patterns
  7. Performance – determining Bottlenecks
  8. Improving functionality – half One
  9. Improving functionality – half , NumPy and Parallelization
  10. Simple GUI Applications

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Raspberry Pi Ultimate Guide by Kevin Partner

By Kevin Partner

Raspberry Pi for rookies can help get you all started as a coder by means of encouraging you to create your personal courses and take advantage of from your innovative £30 computer. (Our recommendation applies to home windows clients too.) We conceal the idea you want to understand after which positioned these strategies to paintings in construction video games, one basic and another complicated. video games are nice simply because they're enjoyable and so they comprise all of the constituents universal to such a lot coding tasks, from software program utilities to robot keep watch over. they could additionally result in an outstanding profession as a video games programmer. we are going to additionally allow you to create an self sufficient climate station that may be sited wherever that has energy and wireless. we could start and fix your seatbelt as we welcome you to the area of coders, tinkerers, makers and rocket scientists.

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