Download E-books Core Python Applications Programming (3rd Edition) (Core Series) PDF

  • Already recognize Python yet are looking to study extra? A lot more? Dive right into a number of subject matters utilized in perform for real-world functions.
  • Covers normal expressions, Internet/network programming, GUIs, SQL/databases/ORMs, threading, and internet development.
  • Learn approximately modern improvement developments comparable 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. contains Python 2 and three code samples to get you all started correct away!
  • Provides code snippets, interactive examples, and functional routines to assist construct your Python skills.


The entire Developer’s advisor to Python

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

 

This ebook has every little thing you must turn into a flexible Python developer. you'll be brought to a number of components 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 counsel if that’s in your roadmap too. a few snippets may even run unmodified on 2.x or 3.x.

 

  • Learn specialist Python kind, most sensible practices, and strong programming habits
  • construct consumers and servers utilizing TCP, UDP, XML-RPC, and be uncovered to higher-level libraries like SocketServer and Twisted
  • enhance GUI purposes utilizing Tkinter and different to be had toolkits
  • increase program functionality by means of writing extensions in C/C++, or improve I/O-bound code with multithreading
  • observe SQL and relational databases, ORMs, or even non-relational (NonSQL) databases like MongoDB
  • research the fundamentals of internet programming, together with net consumers and servers, plus CGI and WSGI
  • reveal your self to normal expressions and strong textual content processing instruments for developing and parsing CSV, JSON, and XML data
  • Interface with renowned Microsoft place of work purposes akin to Excel, PowerPoint, and Outlook utilizing COM patron programming
  • Dive deeper into internet improvement with the Django framework and cloud computing with Google App Engine
  • discover Java programming with Jython, how one can run Python code at the JVM
  • connect with net providers Yahoo! Finance to get inventory prices, 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 variation, delivers

  • Broad insurance of various 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 top of each bankruptcy to aid hammer the ideas home

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Download E-books Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series) PDF

By Brett Slatkin

It is simple to begin writing code with Python: that is why the language is so immensely well known. even though, Python has detailed strengths, charms, and expressivity that may be not easy to know first and foremost -- in addition to hidden pitfalls which may simply journey you up should you should not conscious of them. Effective Python might help you harness the entire strength of Python to jot down enormously strong, effective, maintainable, and well-performing code. using the concise, scenario-driven sort pioneered in Scott Meyers's best-selling Effective C++, Brett Slatkin brings jointly fifty nine Python top practices, guidance, shortcuts, and reasonable code examples from professional programmers.

Through lifelike examples, Slatkin uncovers little-known Python quirks, intricacies, and idioms that powerfully influence code habit and function. you are going to opt for the most productive and potent strategy to accomplish key projects whilst a number of concepts exist, and the way to jot down code that is more straightforward to appreciate, continue, and improve.

Drawing on his deep realizing of Python's functions, Slatkin deals sensible recommendation for every significant zone of improvement with either Python 3.x and Python 2.x. insurance includes:

  • Algorithms
  • Objects
  • Concurrency
  • Collaboration
  • Built-in modules
  • Production techniques
  • And more

every one part comprises particular, actionable instructions prepared into goods, every one with rigorously worded suggestion supported via designated technical arguments and illuminating examples. utilizing Effective Python, you could systematically increase all of the Python code you write: now not by means of blindly following ideas or mimicking incomprehensible idioms, yet by means of gaining a deep figuring out of the technical explanation why they make experience.

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Download E-books Beginning Python PDF

  • This instructional bargains readers an intensive advent to programming in Python 2.4, the transportable, interpreted, object-oriented programming language that mixes strength with transparent syntax
  • Beginning programmers will quick learn how to increase strong, trustworthy, and reusable Python purposes for net improvement, medical purposes, and method projects for clients or administrators
  • Discusses the fundamentals of putting in Python in addition to the recent gains of Python unencumber 2.4, which make it more uncomplicated for clients to create clinical and internet applications
  • Features examples of assorted working structures through the publication, together with Linux, Mac OS X/BSD, and home windows XP

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Download E-books Python 2.1 Bible PDF

By Dave Brueck

The Python 2.1 Bible presents the single whole Python language reference out there and contains the entire info and software program that builders have to use Python as a fast program improvement tool.

The Python 2.1 Bible fills a severe void within the Python reference marketplace. even though it features a whole Python language reference part, it truly is nonetheless geared in the direction of these of you who have already got a few programming event. This publication explains every bit of expertise extensive and indicates via transparent examples why each one function comes in handy. this is often the guide you have been expecting -- the one who covers all significant Python elements with out glossing over how some of the items healthy jointly.

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Download E-books Gray Hat Python: Python Programming for Hackers and Reverse Engineers PDF

By Justin Seitz

Python is quick changing into the programming language of selection for hackers, opposite engineers, and software program testers simply because it is easy to write down quick, and it has the low-level help and libraries that make hackers chuffed. yet formerly, there was no genuine guide on the way to use Python for a number of hacking initiatives. You needed to dig via discussion board posts and guy pages, perpetually tweaking your personal code to get every thing operating. no longer anymore.

Gray Hat Python explains the options at the back of hacking instruments and methods like debuggers, trojans, fuzzers, and emulators. yet writer Justin Seitz is going past idea, displaying you the way to harness present Python-based safety instruments - and the way to construct your personal whilst the pre-built ones will not lower it.

You'll learn the way to:

  • Automate tedious reversing and protection tasks
  • Design and application your individual debugger
  • Learn tips on how to fuzz home windows drivers and create robust fuzzers from scratch
  • Have enjoyable with code and library injection, tender and difficult hooking innovations, and different software program trickery
  • Sniff safe site visitors out of an encrypted internet browser session
  • Use PyDBG, Immunity Debugger, Sulley, IDAPython, PyEMU, and more

The world's most sensible hackers are utilizing Python to do their handiwork. is not going to you?

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Download E-books Learning IPython for Interactive Computing and Data Visualization - Second Edition PDF

By Cyrille Rossant

Get began with Python for facts research and numerical computing within the Jupyter notebook

About This Book

  • Learn the fundamentals of Python within the Jupyter Notebook
  • Analyze and visualize facts with pandas, NumPy, matplotlib, and seaborn
  • Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel

Who This ebook Is For

This publication pursuits scholars, lecturers, researchers, engineers, analysts, newshounds, hobbyists, and all information fans who're drawn to examining and visualizing real-world datasets. when you are new to programming and information research, this booklet is precisely for you. in case you are already acquainted with one other language or research software program, additionally, you will enjoy this creation to the Python info research platform. eventually, there are extra technical subject matters for complicated readers. No past adventure is needed; this booklet includes every thing you want to know.

What you'll Learn

  • Install Anaconda and code in Python within the Jupyter Notebook
  • Load and discover datasets interactively
  • Perform advanced info manipulations successfully with pandas
  • Create enticing information visualizations with matplotlib and seaborn
  • Simulate mathematical versions with NumPy
  • Visualize and approach photographs interactively within the Jupyter computer with scikit-image
  • Accelerate your code with Numba, Cython, and IPython.parallel
  • Extend the computer interface with HTML, JavaScript, and D3

In Detail

Python is a straight forward and strong programming language. IPython bargains a handy interface to the language and its research libraries, whereas the Jupyter laptop is a wealthy atmosphere well-adapted to facts technological know-how and visualization. jointly, those open resource instruments are generic through newcomers and specialists all over the world, and in a tremendous number of fields and endeavors.

This booklet is a beginner-friendly advisor to the Python info research platform. After an creation to the Python language, IPython, and the Jupyter workstation, you are going to the best way to research and visualize facts on real-world examples, the way to create graphical person interfaces for photograph processing within the laptop, and the way to accomplish quickly numerical computations for clinical simulations with NumPy, Numba, Cython, and ipyparallel. by way of the tip of this ebook, it is possible for you to to accomplish in-depth analyses of all kinds of data.

Style and approach

This is a hands-on beginner-friendly advisor to research and visualize info on real-world examples with Python and the Jupyter Notebook.

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Download E-books Python 3 Text Processing with NLTK 3 Cookbook PDF

By Jacob Perkins

Over eighty useful recipes on average language processing strategies utilizing Python's NLTK 3.0

About This Book

  • Break textual content down into its part components for spelling correction, characteristic extraction, and word transformation
  • Learn the way to do customized sentiment research and named entity recognition
  • Work throughout the ordinary language processing recommendations with basic and easy-to-follow programming recipes

Who This e-book Is For

This booklet is meant for Python programmers attracted to studying how one can do ordinary language processing. possibly you might have discovered the boundaries of normal expressions the difficult method, or you've got discovered that human language can't be deterministically parsed like a working laptop or computer language. maybe you've got extra textual content than you recognize what to do with, and wish computerized how one can learn and constitution that textual content. This Cookbook will enable you to teach and use statistical language types to procedure textual content in ways in which are essentially most unlikely with average programming instruments. A easy wisdom of Python and the elemental textual content processing ideas is predicted. a few event with commonplace expressions can also be helpful.

What you are going to Learn

  • Tokenize textual content into sentences, and sentences into words
  • Look up phrases within the WordNet dictionary
  • Apply spelling correction and notice replacement
  • Access the integrated textual content corpora and create your individual customized corpus
  • Tag phrases with elements of speech
  • Chunk words and realize named entities
  • Grammatically rework words and chunks
  • Classify textual content and practice sentiment analysis

In Detail

This publication will exhibit you the basic ideas of textual content and language processing. beginning with tokenization, stemming, and the WordNet dictionary, you are going to development to part-of-speech tagging, word chunking, and named entity acceptance. you are going to learn the way quite a few textual content corpora are prepared, in addition to how one can create your individual customized corpus. Then, you are going to circulate onto textual content type with a spotlight on sentiment research. and since NLP should be computationally pricey on huge our bodies of textual content, you will try out a couple of tools for allotted textual content processing. eventually, you can be brought to a couple of different small yet complementary Python libraries for textual content research, cleansing, and parsing.

This cookbook presents basic, simple examples so that you can fast research textual content processing with Python and NLTK.

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Download E-books Introduction to Computer Science Using Python: A Computational Problem-Solving Focus PDF

By Charles Dierbach

Introduction to machine technological know-how utilizing Python: A Computational Problem-Solving Focus,recommended by way of Guido van Rossum, the author of Python (“This isn't really your ordinary Python book…I imagine this ebook is a smart textual content for someone educating CS1”). With a spotlight on computational challenge fixing from bankruptcy 1, this article offers a number of hands-on routines and examples, every one bankruptcy finishing with a significant-size software demonstrating the step by step means of application improvement, trying out, and debugging. a last bankruptcy comprises the historical past of computing, beginning with Charles Babbage, containing over sixty five old photos. An end-of-book Python three Programmers’ Reference can be integrated for speedy look up of Python info. wide teacher fabrics are supplied for these adopting for lecture room use, together with an teachers’ handbook, over 1,000 well-developed slides overlaying all basic subject matters of every bankruptcy, resource code, and try out bank. 

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Download E-books Instant Data Intensive Apps with pandas How-to PDF

By Trent Hauck

Manipulate, visualize, and study your information with pandas with this publication and ebook

Overview

  • Learn whatever new straight away! a brief, quick, centred advisor providing rapid results
  • Follow easy recipes that may train universal initiatives whilst acting information research with Pandas
  • Build a knowledge product for showing info over the web
  • Create visualizations of the knowledge together with showing tables and line graphs

In Detail

Pandas is helping to relieve a certainly complicated scenario in facts analytics libraries. Many incumbent languages usually are not approachable or are quite unproductive normally computing projects compared to Python. in spite of the fact that with Pandas it is simple to start operating with tabular datasets in a language that is more straightforward to benefit and use.

Instant information in depth Apps with Pandas How-to begins with Pandas’ functionalities corresponding to becoming a member of datasets, cleansing facts, and different facts munging projects. It speedy strikes onto development a knowledge reporting instrument, which is composed of study in Pandas to figure out what’s suitable and current that correct info in an easy-to-consume manner.

Instant info extensive Apps with Pandas How-to starts off with facts manipulation and different functional initiatives for a basic realizing, and during successive recipes you are going to achieve a extra ecocnomic knowing of Pandas.

Throughout this booklet the recipes are offered in a dependent method. It begins with info transformation options, yet builds as much as extra advanced examples akin to acting statistical research and integrating Pandas items with net functions. the opposite recipes conceal visualization and desktop studying, between different things.

Instant facts extensive Apps with Pandas How-to gets the reader up and working quick with Pandas and placed the consumer able to stream up the educational curve faster.

What you'll research from this book

  • Learn info manipulation in Pandas together with subsetting information, information transformation, and knowledge reshaping
  • Combine info units to get an idea of what the output with tabular information seems like
  • Perform combination information operations corresponding to counts and sums for exploratory analysis
  • Use simple laptop studying to spot inventory functionality similarities
  • Create visualizations of information together with showing tables and line graphs
  • Integrate different libraries with Pandas and perform an easy analysis
  • Create an internet program to exhibit Pandas facts in an internet page

Approach

Filled with sensible, step by step directions and transparent motives for crucial and beneficial projects. This booklet has a realistic strategy with step by step recipes to aid readers familiarize yourself with Pandas.

Who this booklet is written for

Users of alternative facts research instruments will locate price in seeing projects they ordinarily come across translated to Pandas and clients of Python will come across an creation to a really awesome device in a syntax they inherently be aware of. by way of common abilities, it really is assumed that the reader knows simple facts buildings corresponding to arrays or lists dictionaries or hash map in addition to having a few knowing of command line paintings. fitting Pandas isn't really lined, however the on-line documentation is easy. additionally, readers are inspired to exploit IPython to have interaction and scan with the code.

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Download E-books Programming Computer Vision with Python: Tools and algorithms for analyzing images PDF

By Jan Erik Solem

If you will have a easy realizing of laptop vision’s underlying concept and algorithms, this hands-on creation is the right position to begin. You’ll research strategies for item popularity, 3D reconstruction, stereo imaging, augmented truth, and different computing device imaginative and prescient functions as you keep on with transparent examples written in Python.

Programming computing device imaginative and prescient with Python explains computing device imaginative and prescient in vast phrases that won’t lavatory you down in idea. You get whole code samples with reasons on the way to reproduce and construct upon every one instance, in addition to workouts that will help you practice what you’ve realized. This ebook is perfect for college kids, researchers, and lovers with uncomplicated programming and traditional mathematical skills.

  • Learn strategies utilized in robotic navigation, clinical photo research, and different machine imaginative and prescient applications
  • Work with photo mappings and transforms, akin to texture warping and landscape creation
  • Compute 3D reconstructions from numerous photographs of an identical scene
  • Organize photos in response to similarity or content material, utilizing clustering methods
  • Build effective snapshot retrieval suggestions to look for photos according to visible content
  • Use algorithms to categorise photograph content material and realize objects
  • Access the preferred OpenCV library via a Python interface

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