Python Scripting for Computational Science (3rd Edition) by Hans Petter Langtangen

By Hans Petter Langtangen

The aim of this e-book is to educate computational scientists tips on how to improve adapted, versatile, and human-efficient operating environments equipped from small courses written within the easy-to-learn, high-level language Python.

The concentration is on examples and functions of relevance to computational scientists.

These contain binding jointly latest functions and instruments, e.g. for automating simulation, information research, and visualization.

The ebook additionally covers guidance simulations and computational experiments; equipping previous courses with graphical consumer interfaces; making computational net functions; and developing interactive interfaces with a Maple/Matlab-like syntax to numerical purposes in C/C++ or Fortran.

The hugely certified writer argues that scripting with Python makes you even more effective, raises the reliability of your clinical paintings and allows you to have extra enjoyable - on Unix, home windows and Macintosh.

All the instruments and examples during this publication are open resource codes. The 3rd variation is appropriate with the recent NumPy implementation and lines up-to-date info, correction of blunders, and greater linked software program instruments.

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Numerical Methods in Engineering with Python by Jaan Kiusalaas

By Jaan Kiusalaas

Numerical tools in Engineering with Python is a textual content for engineering scholars and a reference for working towards engineers, in particular those that desire to discover the facility and potency of Python. Examples and functions have been selected for his or her relevance to genuine international difficulties, and the place numerical ideas are best. Numerical tools are mentioned completely and illustrated with difficulties regarding either hand computation and programming. laptop code accompanies each one technique and is out there at the booklet site. This code is made easy and simple to appreciate by way of averting complicated bookkeeping schemes, whereas conserving the fundamental good points of the tactic. Python was once selected because the instance language since it is sublime, effortless to profit and debug, and its amenities for dealing with arrays are unsurpassed. additionally, it's an open-source software program package deal; unfastened and to be had to all scholars and engineers. discover numerical tools with Python, a good language for educating clinical computation.

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Lightweight Django by Julia Elman, Mark Lavin

By Julia Elman, Mark Lavin

How are you going to benefit from the Django framework to combine complicated client-side interactions and real-time positive aspects into your net purposes? via a chain of quick software improvement tasks, this hands-on ebook indicates skilled Django builders find out how to comprise leisure APIs, WebSockets, and client-side MVC frameworks similar to Backbone.js into new or latest projects.

Learn easy methods to utilize Django's decoupled layout by way of making a choice on the elements you must construct the light-weight purposes you will have. when you end this e-book, you'll understand how to construct single-page functions that reply to interactions in genuine time. If you're accustomed to Python and JavaScript, you're sturdy to go.Learn a light-weight strategy for beginning a brand new Django projectBreak reusable functions into smaller prone that converse with one anotherCreate a static, swift prototyping website as a scaffold for web content and applicationsBuild a leisure API with "django-rest-framework"Learn the right way to use Django with the Backbone.js MVC frameworkCreate a single-page internet program on most sensible of your relaxation APIIntegrate real-time positive aspects with WebSockets and the twister networking libraryUse the book's code-driven examples on your personal tasks

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Learning QGIS (2nd Edition) by Anita Graser

By Anita Graser

The recognition of open resource geographic info structures, and QGIS specifically, has been starting to be swiftly during the last years. hugely configurable programmable environments are frequently most suitable if you have to be in a position to accurately reproduce and distribute their paintings. QGIS is the simplest and such a lot person pleasant GIS instrument within the loose and open resource software program (FOSS) neighborhood. studying QGIS moment variation is helping you make sure that your undertaking is successful. It guarantees that the 1st effect of your venture is a brilliant impact! QGIS is the main most well liked open resource GIS and a practicable substitute to proprietary software program, ArcGIS. It runs on Linux, Unix, Mac OSX, home windows and Android, and helps various vector, raster, and database codecs and functionalities.

This booklet will introduce you to QGIS 2.6 geospatial information research and you'll how one can construct geospatial apps. It enables you to comprehend, query, interpret, and visualize info in ways in which display relationships, styles, and traits within the type of maps. The booklet begins with fitting and configuring QGIS. you'll discover ways to load and visualize latest spatial facts and practice universal geoprocessing and spatial research projects to automate them. you are going to then gather the talents you want to in achieving nice cartographic output and print maps. ultimately, you'll expand QGIS through growing your personal plugin utilizing Python.

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Integrating Python with Leading Computer Forensics Platforms by Chet Hosmer

By Chet Hosmer

Integrating Python with prime machine Forensic Platforms takes a definitive examine how and why the mixing of Python advances the sphere of electronic forensics. moreover, the booklet contains functional, by no means noticeable Python examples that may be instantly placed to exploit. famous writer Chet Hosmer demonstrates easy methods to expand 4 key Forensic systems utilizing Python, together with EnCase by way of advice software program, MPE+ through AccessData, The Open resource Autopsy/SleuthKit via Brian service and WetStone applied sciences, and reside Acquisition and Triage software US-LATT. This e-book is for practitioners, forensic investigators, educators, scholars, inner most investigators, or a person advancing electronic forensics for investigating cybercrime.

Additionally, the open resource availability of the examples allows sharing and progress in the undefined. This publication is the 1st to supply information on find out how to at once combine Python into key forensic platforms.

  • Provides hands-on instruments, code samples, precise guideline, and documentation that may be instantly positioned to use
  • Shows the way to combine Python with renowned electronic forensic structures, together with EnCase, MPE+, The Open resource Autopsy/SleuthKit, and US-LATT
  • Presents entire assurance of the way to take advantage of Open resource Python scripts to increase and regulate well known electronic forensic Platforms

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CherryPy Essentials: Rapid Python Web Application by Sylvain Hellegouarch

By Sylvain Hellegouarch

This e-book covers the CherryPy library for Python net improvement from its heritage and install via its major positive factors and center techniques to its integration with Python and different items to build, try, and install a pattern photoblog program. the writer Sylvain Hellegouarch is devoted to the advance of unfastened software program tasks and has been coordinating and administrating the neighborhood efforts round the CherryPy undertaking because 2004. The method in line with an instance program introduces many different universal Python libraries, supplying transferable talents additionally suitable for non-web Python tasks. CherryPy is a Python library for internet improvement that permits builders to construct net functions within the comparable method as the other object-oriented Python software. Enriched through numerous years of energetic improvement, it has develop into some of the most confirmed toolkits for construction sturdy and high-performance internet functions in Python. CherryPy abstracts the complicated low-level HTTP protocol into an easy-to-use interface that respects Python idioms. The library goals at being uncomplicated to profit for a newbie whereas providing the main complex good points to fluent Python builders. For those purposes CherryPy was once selected to be on the center of the preferred and feature-rich TurboGears net framework. CherryPy-powered internet functions are stand-alone Python functions with their very own embedded multi-threaded internet server, yet may also run at the back of Apache or IIS for scalability..CherryPy set up utilizing tarball, egg, and subversion. The CherryPy library intensive: its layout and the way to exploit it. utilizing CherryPy with universal Python and non-Python items . item RelationalMapping with SQLObject, SQLAlchemy, and Dejavu. net companies through relaxation and the Atom Publishing Protocol. AJAX and client-side scripting through MochiKit. Unit, useful, and cargo trying out. CherryPy, Apache, and lighttpd deployment solurionsThe ebook starts off with chapters devoted to CherryPy itself, its historical past and set up. Then it strikes via a steady creation to the most gains and ideas of CherryPy to a radical evaluate of its center features. After laying this origin the booklet dives right into a real-world instance, detailing vital steps within the construction of a photoblog software. those chapters conceal database manipulation through item Relational Mapping (ORM), utilizing net providers to augment the applying, and client-side scripting via AJAX. eventually, the ebook covers the necessity for unit, practical, and function trying out ahead of ultimate with deployment ideas for a CherryPy-based application.Who this ebook is written for This booklet is mainly geared in the direction of Python internet builders, who're seeking to upload the facility of the CherryPy library to their present Python skillset. It assumes an excellent operating wisdom of Python . even if the CherryPy toolkit is on the middle of the ebook, many different universal libraries are brought.

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Two Scoops of Django: Best Practices For Django 1.5 by Daniel Greenfeld, Audrey M. Roy

By Daniel Greenfeld, Audrey M. Roy

Two Scoops of Django: most sensible Practices For Django 1.5 is brim-full of fabric that can assist you together with your Django projects.

We'll introduce you to varied information, methods, styles, code snippets, and methods that we've picked up over the years.

This booklet is superb for:
* newbies who've simply comprehensive the Django tutorial.
* builders with intermediate wisdom of Django who are looking to enhance their Django projects.

We have positioned hundreds of thousands of hours into writing and revising its 2 hundred+ pages of concise, example-packed text.

What is each person announcing approximately Scoops of Django?
* “A unmarried read-through of 2 Scoops of Django gave me such a lot of lightbulbs and assistance; I needed to return for a moment helping.” -- Lynn Root, crimson Hat engineer and PyLadies ambassador.
* Ha ha, I realized anything within the first bankruptcy. Awesome. -- Zed Shaw, writer of study Python the demanding Way.
* Two Scoops should still offer a few foodstuff for idea and usable thoughts for anyone utilizing Django regularly. -- Malcolm Tredinnick, Django center Contributor
* Make convinced you may have your favourite undertaking subsequent to you whereas studying. You'll be performing some rewriting. -- Bryan Veloso, GitHubber, PyCon PH Keynote Speaker
* If i may time go back and forth, the very first thing I'd do will be supply my more youthful self a duplicate of this booklet, and make him learn it. -- Randall Degges, Passionate Python Hacker
* You understand these classes you examine whilst tasks blow up on your face? This publication comprises a number of initiatives worthy of such lessons. -- Lennart Regebro, writer of "Porting to Python 3"
* This publication may still end up to be an awesome source for any new-to-Django developer that choices it up. -- Kenneth Love, author of "Getting began with Django"
* <3 <3 <3 -- Jannis Leidel, Django center Contributor
* No subject what your ability point is, Scoops has reliable information for everyone. -- Jeff Triplett, Developer at Revsys
* This is the booklet i needed had existed and that i may have learn whilst i began studying Django. -- Barry Morrison, Linux structures engineer and Django developer
* Two Scoops of Django is through a ways the easiest Django publication I've read. -- Ben Beecher on Twitter
* Are there any negatives? good sure. just one: I want I've learn it earlier! -- Branko Vukelic

Table of Contents
* bankruptcy 1: Coding Conventions
* bankruptcy 2: The optimum Django setting Setup
* bankruptcy three: tips to Lay Out Django Projects
* bankruptcy four: basics of Django App Design
* bankruptcy five: Settings and necessities Files
* bankruptcy 6: Database/Model most sensible Practices
* bankruptcy 7: Function-and Class-Based Views
* bankruptcy eight: most sensible Practices for sophistication dependent Views
* bankruptcy nine: universal styles for Forms
* bankruptcy 10: extra issues to understand approximately Forms
* bankruptcy eleven: development leisure APIs in Django
* bankruptcy 12: Templates: most sensible Practices
* bankruptcy thirteen: Template Tags and Filters
* bankruptcy 14: Tradeoffs of changing middle Components
* bankruptcy 15: operating With the Django Admin
* bankruptcy sixteen: facing the consumer Model
* bankruptcy 17: Django's mystery Sauce: Third-Party Packages
* bankruptcy 18: checking out bankruptcy of Doom!
* bankruptcy 19: Documentation: Be Obsessed
* bankruptcy 20: discovering and lowering Bottlenecks
* bankruptcy 21: defense top Practices
* bankruptcy 22: Logging: suggestions and Tools
* bankruptcy 23: indications: Use instances and Avoidance Techniques
* bankruptcy 24: What approximately these Random Utilities?
* bankruptcy 25: Deploying Django Projects
* bankruptcy 26: tips to free up your individual Django Packages
* bankruptcy 27: last Thoughts
* Appendix A: programs pointed out during this Book
* Appendix B: Troubleshooting

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Python for Google App Engine by Massimiliano Pippi

By Massimiliano Pippi

Google App Engine is a key portion of the Google Cloud Platform and probably the most accomplished cloud providers. including Python, the 1st programming language ever supported by way of the platform, Google App Engine favors swift improvement, considerably contributing to the good fortune of your projects.

This e-book will consultant you thru the Google Cloud Platform ranging from the fundamentals all through effectively designing, construction, and working sleek and scalable net functions in Python with Google App Engine. From authentication to information garage, and from asynchronous jobs to server push options, you are going to how one can use prone resembling datastore, cloud garage, Cloud SQL, job queues and channels in a Python software in line with internet frameworks comparable to Webapp2 and Django. because the issues during this e-book are coated in a step by step style, you'll get to grips with the knowledge fast and simply.

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