• NLTK Essentials by Nitin Hardeniya

    By Nitin Hardeniya

    Natural Language Processing (NLP) is the sphere of man-made intelligence and computational linguistics that bargains with the interactions among desktops and human languages. With the situations of human-computer interplay expanding, it’s turning into central for pcs to understand all significant typical languages. normal Language Toolkit (NLTK) is one such robust and strong tool.

    You commence with an creation to get the gist of the way to construct structures round NLP. We then circulation directly to discover facts science-related initiatives, following which you may find out how to create a personalized tokenizer and parser from scratch. all through, we delve into the basic recommendations of NLP whereas gaining useful insights into a number of open resource instruments and libraries to be had in Python for NLP. you'll then how you can research social media websites to find trending issues and practice sentiment research. eventually, you'll discover instruments in order to assist you care for huge scale text.

    By the top of this ebook, you can be convinced approximately NLP and information technological know-how innovations and understand how to use them on your daily work.

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  • Learning Python: Powerful Object-Oriented Programming (3rd by Mark Lutz

    By Mark Lutz

    Moveable, robust, and a breeze to exploit, Python is perfect for either standalone courses and scripting functions. With this hands-on ebook, you could grasp the basics of the middle Python language quick and successfully, even if you're new to programming or simply new to Python. when you end, you are going to be aware of sufficient concerning the language to take advantage of it in any program area you decide. Learning Python is predicated on fabric from writer Mark Lutz's renowned education classes, which he's taught over the last decade. each one bankruptcy is a self-contained lesson that is helping you completely comprehend a key portion of Python sooner than you proceed. besides lots of annotated examples, illustrations, and bankruptcy summaries, each bankruptcy additionally comprises mind Builder, a distinct part with useful workouts and evaluation quizzes that allow you to perform new abilities and try out your knowing as you cross. This ebook covers: varieties and Operations -- Python's significant integrated item varieties extensive: numbers, lists, dictionaries, and extra Statements and Syntax -- the code you kind to create and approach items in Python, in addition to Python's common syntax version capabilities -- Python's simple procedural device for structuring and reusing code Modules -- applications of statements, features, and different instruments prepared into better elements periods and OOP -- Python's not obligatory object-oriented programming device for structuring code for personalisation and reuse Exceptions and instruments -- exception dealing with version and statements, plus a glance at improvement instruments for writing higher courses. Learning Python delivers a deep and entire knowing of the language to help you understand any application-level examples of Python that you just later stumble upon. If you're able to become aware of what Google and YouTube see in Python, this ebook is find out how to start.

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  • OpenCV Computer Vision with Python by Joseph Howse

    By Joseph Howse

    Learn to seize movies, manage pictures, and music items with Python utilizing the OpenCV Library

    * manage OpenCV, its Python bindings, and non-compulsory Kinect drivers on home windows, Mac or Ubuntu
    * Create an program that tracks and manipulates faces
    * establish face areas utilizing basic colour photographs and intensity images

    In Detail

    Computer imaginative and prescient can achieve shoppers in numerous contexts through webcams, digital camera telephones and gaming sensors like Kinect. OpenCV's Python bindings can assist builders meet those patron calls for for purposes that trap photos, switch their visual appeal and extract info from them, in a high-level language and in a standardized information layout that's interoperable with medical libraries corresponding to NumPy and SciPy.

    "OpenCV desktop imaginative and prescient with Python" is a pragmatic, hands-on advisor that covers the elemental initiatives of laptop vision—capturing, filtering and studying images—with step by step directions for writing either an software and reusable library classes.

    "OpenCV desktop imaginative and prescient with Python" indicates you ways to exploit the Python bindings for OpenCV. via following transparent and concise examples you'll improve a working laptop or computer imaginative and prescient program that tracks faces in stay video and applies lighting tricks to them. in case you have continually desired to examine which model of those bindings to exploit, find out how to combine with cross-platform Kinect drivers and and the way to successfully approach picture information with NumPy and SciPy then this e-book is for you.

    What you are going to examine from this book
    * set up OpenCV and similar software program corresponding to Python, NumPy, SciPy, OpenNI, and SensorKinect—all on home windows, Mac or Ubuntu
    * seize, demonstrate, and shop pictures and real-time videos
    * deal with window occasions and enter occasions utilizing OpenCV's HighGui module or Pygame
    * comprehend OpenCV's picture structure and the way to accomplish effective operations on OpenCV photos with NumPy and SciPy
    * practice "curves" and different colour modifications to simulate the glance of outdated images, video clips or video games
    * practice an impact simply to edges in an image
    * replica and resize segments of an image
    * observe an impact in simple terms to sure depths in a picture through the use of information from a intensity sensor equivalent to Kinect
    * song faces, eyes, noses and mouths through the use of prebuilt datasets
    * music arbitrary gadgets through growing unique datasets


    A sensible, project-based instructional for Python builders and hobbyists who are looking to start with computing device imaginative and prescient with OpenCV and Python.

    Who this ebook is written for

    OpenCV laptop imaginative and prescient with Python is written for Python builders who're new to laptop imaginative and prescient and wish a pragmatic advisor to coach them the necessities. a few realizing of photo info (for instance, pixels and colour channels) will be helpful. At a minimal you will want entry to 1 webcam. sure routines require extra like a moment webcam, a Microsoft Kinect or an OpenNI-compliant intensity sensor reminiscent of the Asus Xtion PRO.

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  • Python for Finance: Analyze Big Financial Data by Yves Hilpisch

    By Yves Hilpisch

    The monetary has followed Python at a huge cost lately, with many of the biggest funding banks and hedge cash utilizing it to construct center buying and selling and probability administration platforms. This hands-on advisor is helping either builders and quantitative analysts start with Python, and courses you thru crucial facets of utilizing Python for quantitative finance.

    Using functional examples throughout the e-book, writer Yves Hilpisch additionally exhibits you the way to increase a full-fledged framework for Monte Carlo simulation-based derivatives and danger analytics, according to a wide, real looking case research. a lot of the booklet makes use of interactive IPython Notebooks, with subject matters that include:

    basics: Python information constructions, NumPy array dealing with, time sequence research with pandas, visualization with matplotlib, excessive functionality I/O operations with PyTables, date/time details dealing with, and chosen most sensible practices

    monetary subject matters: mathematical suggestions with NumPy, SciPy and SymPy similar to regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; data for normality checks, mean-variance portfolio optimization, significant part research (PCA), and Bayesian regression

    unique themes: functionality Python for monetary algorithms, akin to vectorization and parallelization, integrating Python with Excel, and construction monetary functions in accordance with net applied sciences

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  • Make a Raspberry Pi-Controlled Robot: Building a Rover with by Wolfram Donat

    By Wolfram Donat

    Make a Raspberry-Pi managed robotic teaches you ways to construct a able and upgradeable own robotic for round $100. You'll the right way to keep watch over servos, reply to sensor enter, and recognize the place your bot is utilizing GPS. You'll additionally examine many ways to hook up with your robotic and ship it directions, from an SSH connection to sending textual content messages out of your telephone.

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  • Real Python: An Introduction to Python Through Practical by Fletcher Heisler

    By Fletcher Heisler

    An book to coach programming via hands-on, attention-grabbing examples which are worthwhile and fun!

    Python is a brilliant programming language. It's unfastened, strong, more uncomplicated to learn than so much languages, and has extensions to be had to do nearly something you'll think automatically.

    But how do you certainly use it? There are a whole lot assets in the market for studying Python, yet none of them are very functional or fascinating - as a substitute, they pass over every one thought one after the other, by no means tying something jointly, yet spending lots of time misplaced in technical language, discussing the twenty alternative ways to complete every one easy task...

    I are looking to write an booklet that at last supplies a concise creation to every little thing you may truly are looking to do with Python.

    We'll commence with a brief yet thorough evaluate of the entire fundamentals, so that you don't even desire any past adventure with programming. however the majority of the booklet might be spent increase instance code to unravel fascinating real-world problems.

    Python is astounding for automating repetitive projects that may another way take you hours - for example, quick amassing info from the internet, or renaming thousands of records. a number of the subject matters that I'm making plans to cover:

    Collecting info from webpages (web scraping)
    Interacting with PDF records - examining facts, growing PDFs, editing pages, including passwords...
    Interacting with Excel records (less performance in OS X)
    Calling different outdoors courses from inside of Python
    Files - read/write/modify, unzip, rename, flow, etc.
    Basic video game development
    Interacting with SQL databases (internal and ODBC connections)
    GUI (Graphical person Interface) layout - developing easy point-and-click courses that any one can use
    Any different issues that you simply, my backers, are so much in!
    Update: by way of renowned call for, I'll be including net software development

    All comparable direction fabrics downloadable at: http://www.psychotix.com/share/Real_Python.zip

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  • Python Recipes Handbook Problem-Solution Approach by Joey Bernard

    By Joey Bernard

    Python Recipes is your convenient code cookbook reference from Apress. Written by means of Robert A. Gibson of IBM, this advisor delivers the most typical and modern code snippets for todays probably and significant kinds of functions related to the Python language. during this reference, youll research the code to write down algorithms, numerical computations, facts research and masses extra: lookup and re-use the recipes in your personal Python coding. even if youre a maker, video game developer, cloud computing programmer and extra, it is a must-have reference on your library.

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  • Python for Software Design: How to Think Like a Computer by Allen B. Downey

    By Allen B. Downey

    Python for software program layout is a concise advent to software program layout utilizing the Python programming language. meant for individuals with out programming event, this booklet starts off with the main simple strategies and steadily provides new fabric. a number of the rules scholars locate so much not easy, like recursion and object-oriented programming, are divided right into a series of smaller steps and brought over the process numerous chapters. the focal point is at the programming procedure, with certain emphasis on debugging. The publication encompasses a wide selection of workouts, from brief examples to sizeable tasks, in order that scholars have considerable chance to perform every one new notion. workout ideas and code examples can be found from thinkpython.com, in addition to Swampy, a set of Python courses that's utilized in a number of the workouts.

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  • Python Web Development with Django by Wesley J. Chun, Jeff Forcier, Paul Bissex

    By Wesley J. Chun, Jeff Forcier, Paul Bissex

    Utilizing the easy, strong, Python-based Django framework, you could construct robust net ideas with remarkably few strains of code. In Python net improvement with Django®, 3 skilled Django and Python builders hide the entire innovations, instruments, and ideas you want to utilize Django 1.0, together with the entire significant beneficial properties of the recent release.

    The authors educate Django via in-depth causes, plus offer large pattern code supported with photographs and line-by-line motives. You’ll observe how Django leverages Python’s improvement pace and adaptability that will help you clear up a large spectrum of internet improvement difficulties and study Django most sensible practices coated nowhere else. You’ll construct your first Django program in precisely mins and deepen your real-world talents via start-to-finish software initiatives including
    * basic net log (blog)
    * on-line photograph gallery
    * basic content material administration system
    * Ajax-powered dwell blogger
    * on-line resource code sharing/syntax highlighting tool
    * find out how to run your Django purposes at the Google App Engine

    This whole advisor begins via introducing Python, Django, and internet improvement innovations, then dives into the Django framework, supplying a deep realizing of its significant elements (models, perspectives, templates), and the way they arrive jointly to shape whole net purposes. After a dialogue of 4 self reliant operating Django purposes, assurance turns to complex issues, comparable to caching, extending the template procedure, syndication, admin customization, and checking out. worthwhile reference appendices hide utilizing the command-line, fitting and configuring Django, improvement instruments, exploring latest Django purposes, the Google App Engine, and the way to get extra concerned with the Django group.

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