Python Create - Modify - Reuse by James O. Knowlton

By James O. Knowlton

Python: Create-Modify-Reuse is designed for all degrees of Python builders attracted to a realistic, hands-on approach of studying Python improvement. This ebook is designed to teach you the way to exploit Python (in mixture with the uncooked processing strength of your desktop) to complete real-world initiatives in a extra effective method. do not search for an exhaustive description of the Python language––you will not locate it. The book's major goal isn't really to completely disguise the Python language, yet relatively to teach how one can use Python to create powerful, real-world purposes.

This e-book is for builders with a few event with Python who are looking to discover how you can strengthen full-blown functions. it's also for builders with adventure in different languages who are looking to study Python via construction strong purposes. it really is well-suited for builders who wish to “learn through doing,” instead of exploring a language characteristic by means of function. To get the main out of the ebook, you might want to comprehend simple programming principles.

This e-book starts off with a easy evaluate of the Python language, designed for these accustomed to different languages yet new to Python. it's via numerous chapters, each one of which describes an entire undertaking that may be used as-is or transformed and prolonged to fit your specific reasons. you will discover functions that entry databases, reap the benefits of net applied sciences, and facilitate community communications, to call a number of. moreover, and extra vital than the applied sciences you can be brought to, you are going to methods to use Python to unravel genuine demanding situations. Following those chapters are chapters that hide having access to working approach assets and debugging and trying out, respectively.

This e-book is framed round the code itself. reason why builders tend to be searching for tips on how to do whatever; and, as with many actions, you do whatever through looking at how others do and attempting it your self. so that you can understand how a for loop works, you will discover for loops in my code, yet that isn't the thrust of the booklet. as a substitute, this booklet indicates you ways to do issues: how you can construct a content material administration method, tips on how to construct a attempt administration approach, the way to arrange a approach for monitoring patron follow-up, etc. alongside the way in which, you will methods to speak with a SQL database, the right way to act as an internet server or converse with one, easy methods to entry working approach prone, and more.

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Natural Language Processing: Python and NLTK by Nitin Hardeniya, Jacob Perkins, Deepti Chopra, Nisheeth

By Nitin Hardeniya, Jacob Perkins, Deepti Chopra, Nisheeth Joshi, Iti Mathur

Learn to construct professional NLP and laptop studying tasks utilizing NLTK and different Python libraries

About This Book

  • Break textual content down into its part components for spelling correction, characteristic extraction, and word transformation
  • Work via NLP thoughts with easy and easy-to-follow programming recipes
  • Gain insights into the present and budding examine subject matters of NLP

Who This e-book Is For

If you're an NLP or computer studying fanatic and an intermediate Python programmer who desires to quick grasp NLTK for average language processing, then this studying course will do you many of fine. scholars of linguistics and semantic/sentiment research pros will locate it invaluable.

What you'll Learn

  • The scope of average language complexity and the way they're processed via machines
  • Clean and wrangle textual content utilizing tokenization and chunking that can assist you procedure info better
  • Tokenize textual content into sentences and sentences into words
  • Classify textual content and practice sentiment analysis
  • Implement string matching algorithms and normalization techniques
  • Understand and enforce the ideas of data retrieval and textual content summarization
  • Find out find out how to enforce a number of NLP initiatives in Python

In Detail

Natural Language Processing is a box of computational linguistics and synthetic intelligence that bargains with human-computer interplay. It presents a unbroken interplay among desktops and people and provides desktops the facility to appreciate human speech with the aid of computing device studying. The variety of human-computer interplay cases are expanding so it truly is changing into relevant that pcs understand all significant usual languages.

The first NLTK necessities module is an advent on find out how to construct structures round NLP, with a spotlight on the best way to create a personalised tokenizer and parser from scratch. you'll study crucial thoughts of NLP, accept useful perception into open resource instrument and libraries on hand in Python, proven how you can examine social media websites, and receive instruments to accommodate huge scale textual content. This module additionally presents a workaround utilizing many of the outstanding features of Python libraries reminiscent of NLTK, scikit-learn, pandas, and NumPy.

The moment Python three textual content Processing with NLTK three Cookbook module teaches you the fundamental options of textual content and language processing with uncomplicated, user-friendly examples. This comprises organizing textual content corpora, developing your individual customized corpus, textual content type with a spotlight on sentiment research, and allotted textual content processing equipment.

The 3rd studying average Language Processing with Python module can assist you develop into a professional and help you in developing your personal NLP tasks utilizing NLTK. you'll be guided via version improvement with laptop studying instruments, proven find out how to create education information, and given perception into the simplest practices for designing and construction NLP-based purposes utilizing Python.

This studying course combines the very best that Packt has to provide in a single whole, curated package deal and is designed that will help you quick research textual content processing with Python and NLTK. It contains content material from the next Packt products:

  • NTLK necessities by way of Nitin Hardeniya
  • Python three textual content Processing with NLTK three Cookbook by means of Jacob Perkins
  • Mastering average Language Processing with Python through Deepti Chopra, Nisheeth Joshi, and Iti Mathur

Style and approach

This accomplished direction creates a delicate studying direction that teaches you ways to start with typical Language Processing utilizing Python and NLTK. you will learn how to create potent NLP and computer studying initiatives utilizing Python and NLTK.

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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 provides the commonest and modern code snippets for todays probably and critical kinds of functions related to the Python language. during this reference, youll examine the code to jot down algorithms, numerical computations, information research and masses extra: search for and re-use the recipes to 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 and Algorithmic Thinking for the Complete Beginner: by Aristides S Bouras

By Aristides S Bouras

This e-book is for an individual who desires to study computing device programming and is aware completely not anything approximately it. in fact, while you are considering even if this ebook goes to coach you ways to create striking applets or tremendous computer or cellular purposes, the answer's "no"—that is a task for different books. such a lot of books in the market can train you these abilities in Python, C#, or Java. a lot of them even declare that they could train you in 24 hours! Don’t giggle! They most likely can do this, yet them all take something for granted—that the reader understands a few fundamentals approximately desktop programming. None of these books, regrettably, bothers to educate you the very first thing beginner programmer must study, that is "Algorithmic Thinking." Algorithmic pondering includes greater than simply studying code. it's a challenge fixing method that consists of studying the right way to code. With over seven hundred pages, and containing greater than three hundred solved and four hundred unsolved routines, over 450 true/false, a hundred and fifty a number of selection, and a hundred and eighty evaluation questions (the strategies and the solutions to which might be chanced on at the Internet), this publication is perfect for college kids, academics, professors, beginners or commonplace programmers, or for somebody who desires to commence studying or instructing machine programming utilizing the correct conventions and methods.

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Think Python: An Introduction to Software Design: How To 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 e-book starts off with the main simple thoughts and steadily provides new fabric. a number of the principles scholars locate so much tough, like recursion and object-oriented programming, are divided right into a series of smaller steps and brought over the process numerous chapters. the point of interest is at the programming procedure, with distinct emphasis on debugging. The publication incorporates a wide variety of workouts, from brief examples to significant tasks, in order that scholars have plentiful chance to perform every one new thought. workout options and code examples can be found from thinkpython.com, besides Swampy, a collection of Python courses that's utilized in many of the workouts. ** released lower than the phrases of the GNU unfastened Documentation License. cash raised from the sale of this publication helps the advance of unfastened software program and documentation.

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Maya Python for Games and Film: A Complete Reference for by Adam Mechtley, Ryan Trowbridge

By Adam Mechtley, Ryan Trowbridge

Maya Python for video games and Film is the 1st ebook to concentration solely on the best way to enforce Python with Maya. Written via relied on gurus within the box, this in-depth advisor may also help you grasp Maya Python, no matter if you're a pro technical artist trying to make the transition from MEL to Python or an aspiring artist no longer eager to scramble for info.

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Python Data Visualization Cookbook by Igor Milovanovic

By Igor Milovanovic

This ebook is written in a Cookbook variety specified in the direction of a complicated viewers. It covers the complex issues of knowledge visualization in Python.Python info Visualization Cookbook is for builders that already learn about Python programming in most cases. in case you have heard approximately info visualization yet you don't be aware of the place to begin, then this publication will consultant you from the beginning and assist you comprehend facts, information codecs, facts visualization, and the way to take advantage of Python to imagine data.You might want to be aware of a few common programming strategies, any form of programming adventure may be invaluable, however the code during this ebook is defined nearly line via line. You don't want maths for this ebook, each idea that is brought is carefully defined in simple English, and references can be found for additional curiosity within the subject

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Expert Python Programming: Best practices for designing, by Tarek Ziadé

By Tarek Ziadé

Specialist Python Programming exhibits how Python improvement might be performed with top practices and specialist layout suggestions.
This booklet is for Python builders who're already development purposes, yet are looking to construct higher ones via utilising top practices and new improvement suggestions to their tasks.
The reader is anticipated to have a valid historical past in Python programming.

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Statistics, Data Mining, and Machine Learning in Astronomy: by Željko Ivezic, Andrew J. Connolly, Jacob T. VanderPlas,

By Željko Ivezic, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray

Book Details:

ISBN: 0691151687
EAN: 9780691151687
ASIN: 0691151687
Publisher: Princeton collage Press
Publication Date: 2014-01-12
Number of Pages: 560
Website: Amazon, LibraryThing, Google Books, Goodreads

Synopsis from Amazon:

As telescopes, detectors, and pcs develop ever extra robust, the quantity of knowledge on the disposal of astronomers and astrophysicists will input the petabyte area, supplying exact measurements for billions of celestial items. This ebook offers a complete and obtainable advent to the state of the art statistical tools had to successfully research complicated info units from astronomical surveys resembling the Panoramic Survey Telescope and quick reaction approach, the darkish power Survey, and the approaching huge Synoptic Survey Telescope. It serves as a pragmatic instruction manual for graduate scholars and complex undergraduates in physics and astronomy, and as an quintessential reference for researchers.

Statistics, information Mining, and computer studying in Astronomy offers a wealth of useful research difficulties, evaluates recommendations for fixing them, and explains tips to use a variety of techniques for various kinds and sizes of information units. For all purposes defined within the booklet, Python code and instance info units are supplied. The aiding information units were conscientiously chosen from modern astronomical surveys (for instance, the Sloan electronic Sky Survey) and are effortless to obtain and use. The accompanying Python code is publicly on hand, good documented, and follows uniform coding criteria. jointly, the knowledge units and code permit readers to breed all of the figures and examples, review the tools, and adapt them to their very own fields of interest.

  • Describes the main worthwhile statistical and data-mining equipment for extracting wisdom from large and intricate astronomical information sets
  • Features real-world facts units from modern astronomical surveys
  • Uses a freely to be had Python codebase throughout
  • Ideal for college kids and dealing astronomers

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