The Python Standard Library by Example

By Doug Hellmann

“Hellmann’s writing has turn into an vital source for me and so forth because it fills a serious hole in Python Documentation with examples.”

– Jesse Noller, Python center Developer and PSF Board Member

Master the robust Python average Library via actual Code Examples


The Python normal Library comprises hundreds and hundreds of modules for interacting with the working method, interpreter, and Internet–all largely confirmed and able to jump-start your software improvement. The Python normal Library via instance (2 quantity Set)  introduces nearly each very important region 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 blog sequence, writer and Python professional Doug Hellmann makes a speciality of “showing” now not “telling.” He explains code habit via downloadable examples that totally exhibit every one feature.


You’ll locate sensible code for operating with textual content, facts varieties, algorithms, math, dossier structures, networking, the web, XML, e mail, cryptography, concurrency, runtime and language prone, and lots more and plenty extra. each one part absolutely covers one module, and hyperlinks to precious extra assets, making this e-book an excellent educational and reference. assurance includes

  • Manipulating textual content with string, textwrap, re, and difflib
  • Implementing facts buildings: collections, array, queue, struct, reproduction, and more
  • Reading, writing, and manipulating records and directories
  • Regular expression development matching
  • Exchanging facts and offering for endurance Archiving and information compression
  • Managing techniques and threads
  • Using program “building blocks”: parsing command-line thoughts, prompting for passwords, scheduling occasions, and logging
  • Testing, debugging, and compilation
  • Controlling runtime configuration
  • Using module and package deal utilities

If you’re new to Python, this booklet will quick provide you with entry to an entire new global of performance. If you’ve labored with Python prior to, you’ll observe new, robust strategies and higher how one can use the modules you’ve already tried.

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Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms, moment Edition explains the Python method of set of rules research and layout. Written by means of Magnus Lie Hetland, writer of Beginning Python, this booklet is sharply concerned with classical algorithms, however it additionally provides a great knowing of basic algorithmic problem-solving concepts.

The e-book offers with probably the most vital and difficult parts of programming and desktop technological know-how in a hugely readable demeanour. It covers either algorithmic conception and programming perform, demonstrating how conception is mirrored in genuine Python courses. famous algorithms and knowledge buildings which are outfitted into the Python language are defined, and the person is proven tips on how to enforce and overview others.

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Django 1.0 Website Development

By Ayman Hourieh

Build strong internet functions, speedy and cleanly, with the Django program framework * Teaches every little thing you must create a whole internet 2.0-style net software with Django 1.0
* research fast improvement and fresh, pragmatic design
* No wisdom of Django required
* choked with examples and screenshots for higher understanding

In Detail

Django is a high-level Python internet framework that used to be constructed by way of a fast-moving online-news operation to fulfill the stringent dual demanding situations of newsroom closing dates and the desires of net builders. it truly is designed to advertise fast improvement and fresh, pragmatic layout and allows you to construct high-performing, based net purposes quickly. Django makes a speciality of automating up to attainable and adhering to the DRY (Don't Repeat your self) precept, making it more uncomplicated to construct high-performance net purposes swifter, with much less code.

This ebook will enable you to gather Django's good points and benefit from its strength to layout, advance, and installation a fully-featured website. it is going to stroll you thru the construction of an instance net program, with plenty of code examples.

Specially revised for model 1.0 of Django, the ebook starts off through introducing the most layout ideas in Django. subsequent, it leads you thru the method of putting in Django in your process. After that, you are going to commence at once on construction your social bookmarking software utilizing Django. numerous Django 1.0 elements and sub-frameworks can be defined in this procedure, and you may find out about them via example.

In each one bankruptcy, you'll construct a number of of the good points which are crucial in net 2.0 purposes, like person administration, tags, and AJAX. additionally, you will know about stable software program improvement practices, corresponding to maintaining your software safe, and automating checking out with unit assessments. via the top of the booklet, you could have outfitted an absolutely sensible real-life internet 2.0 software, and discovered the way to installation it to a creation server.

What you'll research from this book?
* sign up your clients via a consumer authentication approach and deal with them efficiently
* limit consumer entry to yes pages and defend opposed to malicious input
* Create tags to permit visitors to categorise, view, and percentage content material easily
* Create your individual management interface for correct tracking of the net site
* increase your consumer interface with AJAX and upload flavors on your internet site
* permit vote casting and commenting on content material, and show renowned content material to website visitors
* construct person networks; upload pal administration and invitation positive aspects for social networking
* Create unit assessments to automate the checking out of code


The uncomplicated and transparent strategy is perfect for newbies to Django. choked with examples and screenshots, this publication may help you research the gains of Django 1.0 and assist you construct a dynamic web site utilizing these positive factors.

Who this ebook is written for?

This ebook is for net builders who are looking to learn how to construct an entire website with net 2.0 gains, utilizing the ability of a confirmed and well known improvement procedure, Django, yet don't inevitably are looking to learn the way the total framework services so as to do that. simple wisdom of Python improvement is needed for this e-book, yet no wisdom of Django is predicted.

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Python and HDF5

By Andrew Collette

Gain hands-on event with HDF5 for storing medical information in Python. This functional consultant fast will get you on top of things at the information, top practices, and pitfalls of utilizing HDF5 to archive and proportion numerical datasets ranging in dimension from gigabytes to terabytes.

Through real-world examples and useful workouts, you’ll discover themes resembling medical datasets, hierarchically equipped teams, user-defined metadata, and interoperable records. Examples are appropriate for clients of either Python 2 and Python three. If you’re conversant in the fundamentals of Python info research, this can be an excellent creation to HDF5.

  • Get organize with HDF5 instruments and create your first HDF5 file
  • Work with datasets by way of studying the HDF5 Dataset object
  • Understand complicated good points like dataset chunking and compression
  • Learn how you can paintings with HDF5’s hierarchical constitution, utilizing groups
  • Create self-describing records by way of including metadata with HDF5 attributes
  • Take good thing about HDF5’s style approach to create interoperable files
  • Express relationships between info with references, named kinds, and size scales
  • Discover how Python mechanisms for writing parallel code have interaction with HDF5

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Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)

Supercharge recommendations analytics and hedging utilizing the facility of Python

Derivatives Analytics with Python indicates you the way to enforce market-consistent valuation and hedging techniques utilizing complex monetary types, effective numerical innovations, and the robust functions of the Python programming language. This distinct advisor deals precise factors of all conception, tools, and strategies, providing you with the heritage and instruments essential to worth inventory index techniques from a legitimate origin. you will find and use self-contained Python scripts and modules and practice Python to complex information and derivatives analytics as you enjoy the 5,000+ strains of code which are supplied that can assist you reproduce the consequences and images awarded. assurance contains industry facts research, risk-neutral valuation, Monte Carlo simulation, version calibration, valuation, and dynamic hedging, with types that convey stochastic volatility, bounce elements, stochastic brief charges, and extra. The better half site positive factors all code and IPython Notebooks for instant execution and automation.

Python is gaining floor within the derivatives analytics area, permitting associations to quick and successfully bring portfolio, buying and selling, and threat administration effects. This publication is the finance professional's consultant to exploiting Python's services for effective and appearing derivatives analytics.

  • Reproduce significant stylized evidence of fairness and innovations markets yourself
  • Apply Fourier rework ideas and complex Monte Carlo pricing
  • Calibrate complicated alternative pricing types to marketplace data
  • Integrate complex types and numeric how to dynamically hedge options

Recent advancements within the Python surroundings allow analysts to enforce analytics projects as acting as with C or C++, yet utilizing merely approximately one-tenth of the code or perhaps much less. Derivatives Analytics with Python — info research, types, Simulation, Calibration and Hedging indicates you what you must recognize to supercharge your derivatives and danger analytics efforts.

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Salt Essentials

By Thomas Hatch

Get a whole creation to Salt, the generally used Python-based configuration administration and distant execution instrument. This useful advisor not just indicates process directors tips to deal with complicated infrastructures with Salt, but additionally teaches builders find out how to use Salt to install and deal with their applications.

Written via Salt specialists, this e-book offers the data you must install Salt in a creation infrastructure without delay. You’ll additionally the best way to customise Salt and use salt-cloud to regulate your virtualization. when you have event with Linux and information codecs akin to JSON or XML, you’re able to get started.

  • Understand what Salt can do, and get a high-level assessment of uncomplicated commands
  • Learn how execution modules allow you to have interaction with many platforms at once
  • Use states to outline the way you need a host or a suite of hosts to look
  • Dive into grains and pillars, Salt’s simple info elements
  • Control your infrastructure programmatically by way of extending Salt Master’s functionality
  • Extend Salt with customized modules, the Jinja templating language, and Python scripts

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IPython Notebook Essentials

Compute clinical facts and execute code interactively with NumPy and SciPy

About This Book

  • Perform Computational research interactively
  • Create caliber screens utilizing matplotlib and Python facts Analysis
  • Step-by-step advisor with a wealthy set of examples and an intensive presentation of The IPython Notebook

Who This e-book Is For

If you're a expert, scholar, or educator who desires to learn how to use IPython computing device as a device for technical and clinical computing, visualization, and information research, this can be the publication for you. This ebook will end up worthwhile for someone that should do computations in an agile environment.

What you'll Learn

  • Quickly set up and start with IPython Notebook
  • Create interactive widgets within the Notebook
  • Master the Notebook's interface and navigation features
  • Create publication-quality graphs and monitors of knowledge with matplotlib
  • Add media to the computing device with IPython's wealthy demonstrate System
  • Accelerate code utilizing NumbaPro and concurrent computing
  • Perform complicated clinical computations with SciPy
  • Work with info within the laptop with pandas

In Detail

In info technological know-how, it's tough to provide attention-grabbing visible or technical content material, because it comprises clinical notations that aren't effortless to sort in an ordinary rfile structure. IPython presents an internet UI known as pc, which creates a operating surroundings for interactive computing that mixes code execution with computational files. IPython computing device makes the duty easier because it used to be constructed for medical programming to resolve higher difficulties via a sequence of smaller courses. IPython workstation is used to benefit Python in a enjoyable and interactive method and to do a little severe parallel / technical computing.

The e-book starts with an creation to the effective use of IPython laptop for interactive computation. The booklet then specializes in the mixing of applied sciences akin to matplotlib, pandas, and SciPy. The booklet is geared toward empowering you to paintings with IPython laptop for interactive computing, configuring it, growing your personal notebooks / study records. you'll learn the way IPython permits you to practice effective computations via examples with NumPy, facts research with pandas, and visualization with matplotlib.

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Full Stack Python Guide to Deployments

By Matthew Makai

The whole Stack Python consultant to Deployments

Learn every little thing you must understand to install Python internet purposes to a server. In each one bankruptcy, we'll practice a guide deployment to completely comprehend what we're doing, then automate each one step with cloth and Ansible.

Throughout the e-book we'll take an instance open resource Python net program via an entire deployment on a digital deepest server.

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Python Cookbook

Python is recognized as a powerful and chic language, with help for either sensible and object-oriented programming types. if you happen to decide to use Python, even though, you get greater than only a language-you additionally turn into a part of an extremely enthusiastic and supportive group of Python programmers who achieve out to assist one another examine and develop of their use of the language. Python Cookbook, second version is only one tangible manifestation of that Python neighborhood. In it, you will discover sensible strategies to many universal Python programming difficulties. those ideas come from the group, from Python programmers who for a few years have contributed to the web Python Cookbook hosted by way of ActiveState at those are battle-tested options; contributed, reviewed, more advantageous, and now introduced jointly in e-book shape. here's only a sampling of the numerous subject components lined through the greater than three hundred recipes during this e-book: looking out and sorting, internet programming, Manipulating textual content, community programming, operating with documents, Processing XML, Object-oriented programming, allotted programming, Multithreaded programming, Debugging and checking out, method management, Metaprogramming. strategies during this booklet are prepared by way of subject region. all the chapters commence with introductions written by way of famous Python luminaries similar to: Facundo Batista, David Beazley, Donn Cave, Fred L. Drake, jr., Paul F. Dubois, Mark Hammond, Raymond Hettinger, jeremy Hylton, Fredrik Lunch, Mark Lutz, Andy McKay, Gustavo Niemeyer, Tim Peters, Paul Prescod, Aaron Watters, and Greg Wilson. This e-book is a treasure trove of important code for all Python programmers, entrance newcomers to complicated practitioners. it is a present, from the group to you. via deciding to buy this publication, you're additionally giving again to the neighborhood: 25 percentage of all royalties from this booklet are donated to the Python software program beginning. The recipes in Python Cookbook, 2d version have been edited via Alex Martelli, additionally the writer of Python in a Nutsbell; Anna Martelli Ravenscroft, an avid Python consumer and common convention speaker; and David Ascher of ActiveState, coauthor of studying Python. The ebook incorporates a foreword through Guido van Rossum, the author of Python.

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Professional IronPython

Thorough assurance of Microsoft’s new dynamic programming language: IronPython

IronPython is a strong and very important a part of any .NET developer's toolbox, and even though it is numerous years outdated, little or no literature exists at the subject. This crucial source fills that void and gives you with an in-depth knowing of IronPython.

A short advent walks you thru the install, utilization, and instruments of IronPython and in addition explains what makes IronPython diverse from different programming languages. assurance fast strikes directly to explaining the way to use and paintings with the IronPython language, and an in-depth examine its setting sheds gentle on the way it might be stand by myself or with the .NET Framework. you will see how IronPython can be utilized to create both laptop or Web-based functions and you’ll witness the way it interacts with different latest applied sciences. additionally, insurance of complex themes stocks innovations for extending IronPython and making it a strong language.

  • Provides you with an in-depth examine IronPython, the way it isn't the same as different programming languages, what it truly is able to, and the way to maximise its potential
  • Explores how IronPython interacts with latest applied sciences and the way it will possibly practice management tasks
  • Answers renowned questions, reminiscent of how you can expand IronPython and make it an improved language
  • Tackles themes no longer addressed at any place else, together with executing IronPython utilizing Mono

You'll are looking to consume each subject lined in Professional IronPython so that you can start operating with this strong programming language today.

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