IPython Interactive Computing and Visualization Cookbook

By Cyrille Rossant

Over a hundred hands-on recipes to sharpen your talents in high-performance numerical computing and information technological know-how with Python

About This Book

  • Leverage the hot positive factors of the IPython pc for interactive web-based vast facts research and visualization
  • Become a professional in high-performance computing and visualization for facts research and clinical modeling
  • A complete assurance of medical computing via many hands-on, example-driven recipes with certain, step by step explanations

Who This booklet Is For

Intended to somebody attracted to numerical computing and knowledge technological know-how: scholars, researchers, lecturers, engineers, analysts, hobbyists... uncomplicated wisdom of Python/NumPy is usually recommended. a few abilities in arithmetic can assist the idea in the back of the computational methods.

What you are going to Learn

  • Code larger via writing high quality, readable, and well-tested courses; profiling and optimizing your code, and engaging in reproducible interactive computing experiments
  • Master all the new gains of the IPython computing device, together with the interactive HTML/JavaScript widgets
  • Analyze facts with Bayesian and frequentist information (Pandas, PyMC, and R), and examine from facts with computer studying (scikit-learn)
  • Gain useful insights into signs, pictures, and sounds with SciPy, scikit-image, and OpenCV
  • Learn tips to write blazingly quick Python courses with NumPy, PyTables, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA and OpenCL), parallel IPython, MPI, and plenty of more

In Detail

IPython is on the middle of the Python clinical stack. With its generally acclaimed web-based computer, IPython is at the present time an amazing gateway to information research and numerical computing in Python.

IPython Interactive Computing and Visualization Cookbook comprises many ready-to-use centred recipes for high-performance clinical computing and information research. the 1st half covers programming recommendations, together with code caliber and reproducibility; code optimization; high-performance computing via dynamic compilation, parallel computing, and pix card programming. the second one half tackles facts technology, statistics, computing device studying, sign and photo processing, dynamical structures, and natural and utilized mathematics.

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

By Tony Gaddis

This article is meant for a one-semester introductory programming direction for college kids with restricted 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 advanced languages. Python, an easy-to-learn and more and more well known object-oriented language, permits readers to develop into pleased with the basics of programming with no the complex syntax that may be not easy for newbies. With the data received utilizing Python, scholars achieve self assurance of their abilities and discover ways to realize the good judgment at the back of constructing high quality programs.

Starting Out with Python discusses regulate buildings, capabilities, arrays, and guidelines ahead of gadgets and sessions. as with every Gaddis texts, transparent and easy-to-read code listings, concise and useful real-world examples, detail-oriented factors, and an abundance of routines look in each chapter.

Teaching and studying Experience

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

  • Enhance studying with the Gaddis method: Gaddis’s obtainable strategy gains transparent and easy-to-read code listings, concise real-world examples, and routines in each chapter.
  • Support teachers and scholars: pupil and teacher assets can be found to extend at the subject matters offered within the text.
  • Keep Your direction present: This edition’s courses were validated with Python 3.3.2.

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Python Passive Network Mapping: P2NMAP

By Chet Hosmer

Python Passive community Mapping: P2NMAP is the 1st publication to bare a innovative and open resource technique for exposing nefarious community activity.

The "Heartbleed" vulnerability has printed major weaknesses inside of firm environments with regards to the shortcoming of a definitive mapping of community resources. In Python Passive community Mapping, Chet Hosmer exhibits you ways to successfully and definitively passively map networks. lively or probing tips on how to community mapping have normally been used, yet they've got many drawbacks - they could disrupt operations, crash platforms, and - most significantly - omit severe nefarious job. You require a correct photograph of the environments you safeguard and function so as to quickly examine, mitigate, after which get over those new assault vectors. This e-book promises a deep realizing of recent options to passive community mapping, whereas offering open resource Python-based instruments that may be positioned into perform immediately.

Python Passive community Mapping is for practitioners, forensic investigators, IT groups, and people who interact whilst acting incident reaction and investigating capability harm, or are reading the affects of latest malware threats. these protecting serious infrastructures can have a distinct curiosity in this book, as lively or probing equipment of community mapping are hardly ever used inside of those environments as any ensuing affects may be disastrous. Python Passive community Mapping is ultimate to be used as a textual content in quite a few educational courses to show and interact scholars within the artwork of passively mapping firm networks, with the additional advantage of delivering publicity to open resource Python solutions.

  • First e-book to teach you the way to take advantage of open resource Python to behavior passive community mapping
  • Provides a brand new procedure for engaging in incident reaction and investigating the level of strength harm for your systems
  • Python code forensics toolkit for community mapping integrated at the significant other website

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Mobile Python: Rapid prototyping of applications on the mobile platform

Mobile Python is the advent of Python programming language to the cellular space.  This functional hands-on publication teaches readers the way to observe their program rules at the Symbian OS. Programming at the Symbian cellular platform has been tough and time eating within the past.  This leading edge new name will treatment this problem. 

Chapters take care of themes which are in accordance with Python S60 positive factors and provided in an order that shall we the person examine first the “simple to code” ones after which expanding in complexity.


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Getting Started with Pyparsing

By Paul McGuire

Have to extract facts from a textual content dossier or an online web page? Or do you need to make your program extra versatile with user-defined instructions or seek strings? Do usual expressions and lex/yacc make your eyes blur and your mind hurt?

Pyparsing may be the answer. Pyparsing is a pure-Python type library that makes it effortless to construct recursive-descent parsers quick. there is not any have to handcraft your individual parsing nation computing device. With pyparsing, you could quick create HTML web page scrapers, logfile info extractors, or complicated info constitution or command processors. This brief minimize indicates you the way!

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Learning Cython Programming - Second Edition

Key Features

  • Learn easy methods to expand C purposes with natural Python code
  • Get extra from Python – you are going to not just study Cython, you are going to additionally unencumber a better figuring out of the way to harness Python
  • Packed with information and tips that make Cython glance effortless, dive into this obtainable programming advisor and discover what occurs in the event you deliver C and Python together!

Book Description

Cython is a hybrid programming language used to write down C extensions for Python language. Combining the practicality of Python and velocity and simplicity of the interval it truly is an exhilarating language worthy studying for you to construct quick functions with ease.

This re-creation of studying Cython Programming exhibits you the way to start, taking you thru the basics so that you can start to event its distinctive powers.

You'll easy methods to get arrange, prior to exploring the connection among Python and Cython. you will additionally examine debugging Cython, sooner than relocating directly to C++ constructs, Caveat on C++ utilization, Python threading and GIL in Cython. ultimately, you are going to examine item initialization and collect time, and achieve a deeper perception into Python three, with a purpose to assist you not just develop into a convinced Cython developer, yet a way more fluent Python developer too.

What you are going to learn

  • Reuse Python logging in C
  • Make an IRC bot from your C application
  • Extend an software so that you have an internet server for relaxation calls
  • Practice Cython opposed to your C++ code
  • Discover tips to paintings with Python ConfigParser in C
  • Create Python bindings for local libraries
  • Find out approximately threading and concurrency relating to GIL
  • Expand Terminal Multiplexer Tmux with Cython

About the Author

Philip Herron is a developer who focuses his ardour towards compilers and digital laptop implementations. while he was once first permitted to Google summer time of Code 2010, he used notion from Paul Biggar's PhD at the optimization of dynamic languages to strengthen an evidence of the idea that GCC frontend to bring together Python. This undertaking sparked his deep curiosity in how Python works.

After finishing a consecutive 12 months at the related venture in 2011, Philip utilized to Cython lower than the Python beginning to achieve a deeper appreciation of the normal Python implementation. via this he began leveraging some great benefits of Python to regulate the common sense in platforms or perhaps upload extra high-level interfaces, comparable to embedding Flask internet servers in a leisure API to a system-level piece of software program, with no writing any C code.

Philip presently works as a software program advisor for Instil software program dependent in Northern eire. He develops cellular functions with embedded local code for video streaming. Instil has given him loads of help in turning into a greater engineer.

He has written numerous tutorials for the UK-based Linux layout journal on Python and likes to proportion his ardour for the Python programming language.

Table of Contents

  1. Cython will not Bite
  2. Understanding Cython
  3. Extending Applications
  4. Debugging Cython
  5. Advanced Cython
  6. Further Reading

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NumPy Beginner's Guide - Second Edition

By Ivan Idris

An motion packed advisor utilizing actual global examples of the simple to exploit, excessive functionality, loose open resource NumPy mathematical library


  • Perform excessive functionality calculations with fresh and effective NumPy code
  • Analyze huge info units with statistical functions
  • Execute advanced linear algebra and mathematical computations

In Detail

NumPy is an extension to, and the basic package deal for clinical computing with Python. In ultra-modern international of technological know-how and expertise, it's all approximately velocity and adaptability. by way of medical computing, NumPy is at the best of the list.

NumPy Beginner's consultant will train you approximately NumPy, a number one medical computing library. NumPy replaces many of the performance of Matlab and Mathematica, yet unlike these items, is unfastened and open source.

Write readable, effective, and quick code, that is as on the subject of the language of arithmetic as is presently attainable with the innovative open resource NumPy software program library. study the entire fine details of NumPy that calls for you to understand uncomplicated Python basically. shop millions of greenbacks on dear software program, whereas preserving all of the flexibility and tool of your favorite programming language.You will know about fitting and utilizing NumPy and comparable ideas. on the finish of the ebook we are going to discover a few comparable medical computing initiatives. This ebook provides you with a pretty good origin in NumPy arrays and common services. via examples, additionally, you will find out about plotting with Matplotlib and the comparable SciPy venture. NumPy Beginner's consultant may help you be efficient with NumPy and feature you writing fresh and speedy code very quickly at all.

What you are going to study from this book

  • Install NumPy
  • NumPy arrays
  • Universal functions
  • NumPy matrices
  • NumPy modules
  • Plot with Matplotlib
  • Test NumPy code
  • Relation to SciPy


The publication is written in beginner’s advisor type with each one element of NumPy verified with genuine global examples and required screenshots.

Who this e-book is written for

If you're a programmer, scientist, or engineer who has easy Python wisdom and want to be capable to do numerical computations with Python, this booklet is for you. No past wisdom of NumPy is required.

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Fundamentals of Python: From First Programs through Data Structures

In basics OF PYTHON: FROM FIRST courses via info constructions, Washington and Lee college professor Kenneth A. Lambert provides the entire very important issues in CS1 and CS2 in a single quantity. This in your price range layout offers teachers with a constant method of educating introductory programming and information constructions over a regular two-term path series. The ebook makes use of the Python programming language, that's either effortless to benefit for newcomers and scales good to complicated purposes.

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Core Python Applications Programming (3rd Edition) (Core Series)

  • Already comprehend Python yet are looking to examine extra? A lot more? Dive right into a number of subject matters utilized in perform for real-world purposes.
  • Covers normal expressions, Internet/network programming, GUIs, SQL/databases/ORMs, threading, and net development.
  • Learn approximately modern improvement developments similar to Google+, Twitter, MongoDB, OAuth, Python three migration, and Java/Jython. offers fresh fabric on Django, Google App Engine, CSV/JSON/XML, and Microsoft place of work. comprises Python 2 and three code samples to get you began correct away!
  • Provides code snippets, interactive examples, and sensible routines to aid construct your Python skills.

The whole Developer’s advisor to Python

Python is an agile, strong, and expressive programming language that maintains to construct momentum. It combines the ability of compiled languages with the simplicity and fast improvement of scripting languages. In Core Python purposes Programming, 3rd Edition , leading Python developer and company coach Wesley Chun is helping you are taking your Python wisdom to the subsequent level.


This ebook has every thing you want to turn into a flexible Python developer. you may be brought to a number of parts of software improvement and achieve wisdom that may be instantly utilized to initiatives, and you'll find code samples in either Python 2 and 3, together with migration guidance if that’s in your roadmap too. a few snippets may even run unmodified on 2.x or 3.x.


  • Learn specialist Python sort, most sensible practices, and stable programming habits
  • construct consumers and servers utilizing TCP, UDP, XML-RPC, and be uncovered to higher-level libraries like SocketServer and Twisted
  • strengthen GUI functions utilizing Tkinter and different to be had toolkits
  • enhance program functionality by way of writing extensions in C/C++, or improve I/O-bound code with multithreading
  • detect SQL and relational databases, ORMs, or even non-relational (NonSQL) databases like MongoDB
  • research the fundamentals of net programming, together with internet consumers and servers, plus CGI and WSGI
  • disclose your self to typical expressions and robust textual content processing instruments for growing and parsing CSV, JSON, and XML data
  • Interface with renowned Microsoft place of work purposes corresponding to Excel, PowerPoint, and Outlook utilizing COM buyer programming
  • Dive deeper into internet improvement with the Django framework and cloud computing with Google App Engine
  • discover Java programming with Jython, how you can run Python code at the JVM
  • hook up with net prone Yahoo! Finance to get inventory charges, or Yahoo! Mail, Gmail, and others to obtain or ship e-mail
  • Jump into the social media craze by way of studying tips on how to hook up with the Twitter and Google+ networks


Core Python functions Programming, 3rd version, delivers

  • Broad insurance of quite a few components of improvement utilized in real-world functions today
  • Powerful insights into present and top practices for the intermediate Python programmer
  • Dozens of code examples, from fast snippets to full-fledged applications
  • A number of routines at the tip of each bankruptcy to aid hammer the suggestions home

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The Art of Prolog: Advanced Programming Techniques (Mit Press Series in Logic Programming)

By Leon Sterling

This re-creation of The artwork of Prolog incorporates a variety of vital alterations. such a lot history sections on the finish of every bankruptcy were up-to-date to take account of significant contemporary learn effects, the references were drastically multiplied, and extra complex routines were further that have been used effectively in instructing the course.

half II, The Prolog Language, has been changed to be appropriate with the hot Prolog typical, and the bankruptcy on software improvement has been considerably altered: the predicates outlined were moved to extra acceptable chapters, the part on potency has been moved to the significantly elevated bankruptcy on cuts and negation, and a brand new part has been further on stepwise enhancement—a systematic manner of creating Prolog courses built via Leon Sterling.

All yet one of many chapters partly III, complex Prolog Programming strategies, were considerably replaced, with a few significant rearrangements. a brand new bankruptcy on interpreters describes a rule language and interpreter for specialist platforms, which larger illustrates how Prolog might be used to build professional structures. The bankruptcy on application transformation is totally new and the bankruptcy on good judgment grammars provides new fabric for spotting easy languages, displaying how grammars observe to extra laptop technological know-how examples.

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