Professional IronPython

Thorough assurance of Microsoft’s new dynamic programming language: IronPython

IronPython is a strong and important a part of any .NET developer's toolbox, and even though it is a number of years outdated, little or no literature exists at the subject. This crucial source fills that void and offers you with an in-depth realizing of IronPython.

A short advent walks you thru the set up, utilization, and instruments of IronPython and likewise explains what makes IronPython diversified from different programming languages. insurance quick strikes directly to explaining the right way to use and paintings with the IronPython language, and an in-depth examine its setting sheds mild on the way it may be stand by myself or with the .NET Framework. you will see how IronPython can be utilized to create both computer or Web-based functions and you’ll witness the way it interacts with different present applied sciences. additionally, assurance of complex themes stocks innovations for extending IronPython and making it a strong language.

  • Provides you with an in-depth examine IronPython, the way it isn't like different programming languages, what it really is in a position to, and the way to maximise its potential
  • Explores how IronPython interacts with current applied sciences and the way it will possibly practice management tasks
  • Answers well known questions, akin to tips to expand IronPython and make it a much better language
  • Tackles themes now not addressed at any place else, together with executing IronPython utilizing Mono

You'll are looking to eat each subject coated in Professional IronPython so that you can start operating with this robust programming language today.

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Pro Python

By Marty Alchin

You’ve realized the fundamentals of Python, yet how do you are taking your abilities to the subsequent degree? whether you recognize adequate to be efficient, there are many beneficial properties which could take you to the subsequent point in Python. professional Python, moment variation explores options and lines often left to experimentation, permitting you to be much more efficient and creative.

In addition to natural code matters, seasoned Python develops your programming concepts and techniques, for you to assist in making you a greater Python programmer. This publication will increase not just your code but in addition your realizing and interplay with the various confirmed Python communities.

This ebook takes your Python wisdom and coding abilities to the following point. It indicates you ways to jot down fresh, cutting edge code that may be revered by way of your friends. With this ebook, make your code do extra with introspection and meta-programming. And examine and later use the nuts and bolts of an program, tier-by-tier as a posh case research alongside the way.

For additional info, together with a hyperlink to the resource code referenced within the ebook, please stopover at http://propython.com/.

What you’ll learn

  • Write robust Python code that might be revered within the Python community
  • Understand the explanations in the back of colossal layout judgements in Python
  • Write courses that could reconfigure themselves in Python
  • Disguise your code as varieties of gadgets in Python
  • Inspect with reference to any item in Python
  • Prepare your code for overseas audiences
  • Ensure code caliber with rigorous testing

Who this e-book is for

This ebook is for intermediate to complicated Python programmers who're seeking to know the way and why Python works how it does and the way they could take their code to the following level.

Table of Contents

1. ideas and Philosophy

2. complex fundamentals

3. Functions

4. periods

5. universal Protocols

6. item administration

7. Strings

8. Documentation

9. Testing

10. Distribution

11. Sheets: A CSV Framework

12. type consultant for Python

13. balloting Guidelines

14. The Zen of Python

15. Docstring Conventions

16. Backward Compatibility Policy

17. Python 3000

18. Python Language Moratorium

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Dive Into Python 3

By Mark Pilgrim

Mark Pilgrim's Dive Into Python 3 is a hands-on consultant to Python three and its variations from Python 2. As within the unique ebook, Dive Into Python, each one bankruptcy begins with a true, entire code pattern, proceeds to choose it aside and clarify the items, after which places all of it again jointly in a precis on the end.

This e-book includes:

  • Example courses thoroughly rewritten to demonstrate strong new techniques now to be had in Python three: units, iterators, turbines, closures, comprehensions, and masses extra
  • A specified case examine of porting an immense library from Python 2 to Python three
  • A finished appendix of the entire syntactic and semantic alterations in Python three

This is the appropriate source for you if you want to port purposes to Python three, or for those who wish to leap into languages quick and get going correct away.

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Scikit-Learn Cookbook

By Trent Hauck

Over 50 recipes to include scikit-learn into each step of the knowledge technological know-how pipeline, from function extraction to version construction and version evaluation

About This Book

  • Learn how one can deal with numerous projects with Scikit-Learn with attention-grabbing recipes that convey you the way the library fairly works
  • Use Scikit-Learn to simplify the programming facet info so that you can specialize in thinking
  • Discover the right way to follow algorithms in quite a few situations

Who This publication Is For

If you are a facts scientist already accustomed to Python yet now not Scikit-Learn, or are conversant in different programming languages like R and need to make the leap with the most advantageous of Python laptop studying libraries, then this can be the e-book for you.

What you'll Learn

  • Address algorithms of varied degrees of complexity and the best way to learn information on the related time
  • Handle universal info difficulties resembling characteristic extraction and lacking data
  • Understand the right way to evaluation your versions opposed to themselves and the other model
  • Discover barely enough math had to find out how to take into consideration the connections among numerous algorithms
  • Customize the laptop studying set of rules to suit your challenge, and how one can alter it whilst the placement demands it
  • Incorporate different applications from the Python environment to munge and visualize your dataset

In Detail

Python is readily changing into the go-to language for analysts and information scientists because of its simplicity and adaptability, and in the Python info house, scikit-learn is the unequivocal selection for computing device studying. Its constant API and plethora of positive factors support resolve any laptop studying challenge it comes across.

The booklet starts off through strolling via assorted the way to organize your data—be it a dataset with lacking values or textual content columns that require the types to be changed into indicator variables. After the knowledge is prepared, you will examine assorted recommendations aligned with various objectives—be it a dataset with identified results akin to revenues by means of country, or extra complex difficulties resembling clustering related buyers. ultimately, you are going to the best way to polish your set of rules to make sure that it really is either exact and resilient to new datasets.

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Pro Python

By Marty Alchin

You’ve discovered the fundamentals of Python, yet how do you are taking your abilities to the following level? no matter if you recognize adequate to be efficient, there are many positive factors that could take you to the subsequent point in Python. professional Python, moment version explores strategies and lines usually left to experimentation, permitting you to be much more effective and creative.

In addition to natural code issues, professional Python develops your programming ideas and ways, with the intention to assist in making you a greater Python programmer. This ebook will increase not just your code but additionally your figuring out and interplay with the various confirmed Python communities.

This e-book takes your Python wisdom and coding talents to the subsequent point. It indicates you ways to jot down fresh, leading edge code that would be revered by means of your friends. With this publication, make your code do extra with introspection and meta-programming. And examine and later use the nuts and bolts of an software, tier-by-tier as a fancy case learn alongside the way.

For additional information, together with a hyperlink to the resource code referenced within the ebook, please stopover at http://propython.com/.

What you’ll learn

  • Write powerful Python code that would be revered within the Python community
  • Understand the explanations in the back of mammoth layout judgements in Python
  • Write courses which can reconfigure themselves in Python
  • Disguise your code as types of items in Python
  • Inspect with reference to any item in Python
  • Prepare your code for overseas audiences
  • Ensure code caliber with rigorous testing

Who this booklet is for

This booklet is for intermediate to complex Python programmers who're seeking to know the way and why Python works how it does and the way they could take their code to the subsequent level.

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Mastering Python for Data Science

Explore the area of information technological know-how via Python and the way to make feel of data

About This Book

  • Master information technological know-how tools utilizing Python and its libraries
  • Create information visualizations and mine for patterns
  • Advanced concepts for the 4 basics of knowledge technology with Python - facts mining, info research, info visualization, and computer learning

Who This ebook Is For

If you're a Python developer who desires to grasp the realm of knowledge technology then this ebook is for you. a few wisdom of information technology is assumed.

What you'll Learn

  • Manage info and practice linear algebra in Python
  • Derive inferences from the research by means of appearing inferential statistics
  • Solve info technology difficulties in Python
  • Create high-end visualizations utilizing Python
  • Evaluate and observe the linear regression strategy to estimate the relationships between variables.
  • Build suggestion engines with some of the collaborative filtering algorithms
  • Apply the ensemble the way to increase your predictions
  • Work with huge facts applied sciences to address facts at scale

In Detail

Data technological know-how is a comparatively new wisdom area that is utilized by a number of organisations to make information pushed judgements. info scientists need to put on numerous hats to paintings with info and to derive price from it. The Python programming language, past having conquered the medical group within the final decade, is now an fundamental software for the information technology practitioner and a must-know device for each aspiring information scientist. utilizing Python will provide you with a quick, trustworthy, cross-platform, and mature surroundings for information research, laptop studying, and algorithmic challenge solving.

This finished consultant is helping you progress past the hype and go beyond the idea via giving you a hands-on, complex research of knowledge science.

Beginning with the necessities of Python in facts technology, you are going to learn how to deal with facts and practice linear algebra in Python. you'll movement directly to deriving inferences from the research via acting inferential records, and mining info to bare hidden styles and tendencies. you are going to use the matplot library to create high-end visualizations in Python and discover the basics of computer studying. subsequent, you'll follow the linear regression strategy and likewise discover ways to observe the logistic regression strategy to your functions, sooner than growing advice engines with a number of collaborative filtering algorithms and enhancing your predictions through employing the ensemble methods.

Finally, you'll practice K-means clustering, in addition to an research of unstructured facts with diverse textual content mining ideas and leveraging the ability of Python in sizeable facts analytics.

Style and approach

This ebook is an easy-to-follow, complete consultant on info technology utilizing Python. the subjects lined within the e-book can all be utilized in actual global scenarios.

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Python 3 Object-Oriented Programming - Second Edition

By Dusty Phillips

Unleash the facility of Python three objects

About This Book

  • Stop writing scripts and begin architecting programs
  • Learn the most recent Python syntax and libraries
  • A useful, hands-on instructional that teaches you all approximately summary layout styles and the way to enforce them in Python 3

Who This publication Is For

If you are new to object-oriented programming recommendations, or when you have simple Python abilities and want to profit extensive how and while to properly follow object-oriented programming in Python to layout software program, this is often the e-book for you.

What you are going to Learn

  • Implement gadgets in Python through developing periods and defining methods
  • Separate comparable gadgets right into a taxonomy of sessions and describe the homes and behaviors of these items through the category interface
  • Extend type performance utilizing inheritance
  • Understand whilst to exploit object-oriented beneficial properties, and extra importantly while to not use them
  • Discover what layout styles are and why they're assorted in Python
  • Uncover the simplicity of unit checking out and why it is so vital in Python
  • Grasp universal concurrency strategies and pitfalls in Python 3
  • Exploit object-oriented programming in key Python applied sciences resembling Kivy and Django.
  • Object-oriented programming simultaneously with asyncio

In Detail

Python three is extra flexible and more uncomplicated to exploit than ever. It runs on all significant systems in an immense array of use situations. Coding in Python minimizes improvement time and raises productiveness compared to different languages. fresh, maintainable code is straightforward to either learn and write utilizing Python's transparent, concise syntax.

Object-oriented programming is a well-liked layout paradigm during which info and behaviors are encapsulated in one of these manner that they are often manipulated jointly. Many sleek programming languages make the most of the robust options in the back of object-oriented programming and Python isn't any exception.

Starting with a close research of object-oriented research and layout, you'll use the Python programming language to obviously snatch key techniques from the object-oriented paradigm. This booklet absolutely explains periods, information encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on should you can use each one precept to improve well-designed software.

You'll get an in-depth research of many universal object-oriented layout styles which are enhanced to Python's designated kind. This ebook won't simply educate Python syntax, yet also will construct your self belief in the right way to program.

You also will how one can create maintainable purposes by means of learning larger point layout styles. Following this, you will examine the complexities of string and dossier manipulation, and the way Python distinguishes among binary and textual info. now not one, yet very strong automatic checking out platforms can be brought within the e-book. when you observe the enjoyment of unit checking out and simply how effortless it may be, you are going to research greater point libraries resembling database connectors and GUI toolkits and learn the way they uniquely practice object-oriented ideas. you are going to learn the way those rules will let you make better use of key participants of the Python eco-system akin to Django and Kivy.

This new version contains the entire themes that made Python three Object-oriented Programming an rapid Packt vintage. it is also full of up-to-date content material to mirror fresh alterations within the middle Python library and covers glossy third-party programs that weren't on hand at the Python three platform while the booklet was once first published.

Style and approach

Throughout the booklet you'll study key object-oriented programming ideas proven through entire case reports within the context of a bigger project.

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Foundations of Agile Python Development (Expert's Voice in Open Source)

By Jeff Younker

You’ve lengthy been enamored with the Python language, and feature mastered its many nuances. but whatever seems missing—a productiveness advance that you just comprehend is feasible yet you’re unsure the way to cross approximately it. This was once the sentiment of such a lot of builders sooner than getting to know Agile programming paradigm, which embraces strategies comparable to automation, potent code administration, and test–driven development.

Foundations of Agile Python Development is the 1st publication to use those sought–after ideas to Python builders, introducing either the instruments and strategies outfitted and supported by way of the Python neighborhood. Authored by means of Jeff Younker, a well–known member of Python’s agile group who's possibly most sensible identified for his production of a favored Python checking out framework, this ebook is certain to be a success between readers who could have reached their limits of data concerning the Python language, but are searching for to enhance their knowing of ways sound techniques can develop productiveness to exceptional heights.

What you’ll learn

  • Understand why the Agile circulate is expanding productiveness and reducing programmer rigidity the area around
  • Use Eclipse and Subversion so as to add a complete new point of potency in your day-by-day programming activities
  • Change your viewpoint on trying out from an important evil to a compelling and the most important a part of your improvement process
  • Automate your construct approach, disposing of a lot of the tedium surrounding checking out and deployment tasks

Who this e-book is for

Python builders trying to reap the benefits of effective developer instruments and methods to spice up productiveness.

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Redis in Action

By Josiah L. Carlson

Summary

Redis in Action introduces Redis and walks you thru examples that reveal tips on how to use it successfully. you will commence through getting Redis organize adequately after which exploring the key-value version. Then, you will dive into genuine use instances together with easy caching, allotted advert concentrating on, and extra. you will how one can scale Redis from small jobs to giant datasets. skilled builders will take pleasure in chapters on clustering and inner scripting to make Redis more straightforward to take advantage of.

About the Technology

When you wish near-real-time entry to a fast-moving info movement, key-value shops like Redis are how to pass. Redis expands at the key-value trend via accepting a wide selection of information varieties, together with hashes, strings, lists, and different constructions. It presents lightning-fast operations on in-memory datasets, and in addition makes it effortless to persist to disk at the fly. Plus, it is unfastened and open resource.

About this book

Redis in Action introduces Redis and the key-value version. you will fast dive into genuine use situations together with easy caching, disbursed advert focusing on, and extra. you will how to scale Redis from small jobs to large datasets and observe the right way to combine with conventional RDBMS or different NoSQL shops. skilled builders will delight in the in-depth chapters on clustering and inner scripting.

Written for builders conversant in database strategies. No past publicity to NoSQL database suggestions nor to Redis itself is needed. applicable for platforms directors ok with programming.

Purchase of the print booklet incorporates a unfastened publication in PDF, Kindle, and ePub codecs from Manning guides.

What's Inside

  • Redis from the floor up
  • Preprocessing real-time data
  • Managing in-memory datasets
  • Pub/sub and configuration
  • Persisting to disk

About the Author

Dr. Josiah L. Carlson is a pro database specialist and an lively contributor to the Redis neighborhood.

Table of Contents

    PART 1 GETTING STARTED
  1. Getting to understand Redis
  2. Anatomy of a Redis net application
  3. PART 2 center CONCEPTS
  4. Commands in Redis
  5. Keeping info secure and making sure performance
  6. Using Redis for program support
  7. Application elements in Redis
  8. Search-based applications
  9. Building an easy social network
  10. PART three subsequent STEPS
  11. Reducing reminiscence use
  12. Scaling Redis
  13. Scripting Redis with Lua

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Full Stack Python Guide to Deployments

By Matthew Makai

The whole Stack Python advisor to Deployments

Learn every thing you must be aware of to install Python internet purposes to a server. In each one bankruptcy, we'll practice a guide deployment to totally comprehend what we're doing, then automate each one step with cloth and Ansible.

Throughout the e-book we'll take an instance open resource Python internet software via an entire deployment on a digital inner most server.

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