Tag Archives: plethora

High-Throughput Phenotyping in Plants: Methods and Protocols (Methods in Molecular Biology)

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Jennifer Normanly, "High-Throughput Phenotyping in Plants: Methods and Protocols (Methods in Molecular Biology)"
English | ISBN: 1617799947 | 2012 | PDF | 376 pages | 6,9 MB

High-Throughput Phenotyping in Plants: Methods and Protocols (Methods in Molecular Biology)
Genetic approaches to understanding plant growth and development have always benefitted from screens that are simple, quantitative and rapid. Visual screens and morphometric analysis have yielded a plethora of interesting mutants and traits that have provided insight into complex regulatory pathways, and yet many genes within any given plant genome remain undefined. The premise underlying High Throughput Phenotyping in Plants: Methods and Protocols is that the higher the resolution of the phenotype analysis the more likely that new genes and complex interactions will be revealed. The methods described in this volume can be generally classified as quantitative profiling of cellular components, ranging from ions to small molecule metabolites and nuclear DNA, or image capture that ranges in resolution from chlorophyll fluorescence from leaves and time-lapse images of seedling shoots and roots to individual plants within a population at a field site. Written in the successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, High Throughput Phenotyping in Plants: Methods and Protocols serves as an invaluable guide to plant researchers and all scientists who wish to better understand plant growth and development.
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Prisons and Prison Systems: A Global Encyclopedia

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Prisons and Prison Systems: A Global Encyclopedia By Mitchel P. Roth
2005 | 392 Pages | ISBN: 0313328560 | PDF | 23 MB

Prisons and Prison Systems: A Global Encyclopedia
Prisons have undoubtedly changed over the years, as have penal practices in general, though more so in some countries than others. Prisons and prison systems have long been an overlooked part of criminal justice research, and as a result, limited material is available on many institutions. This comprehensive encyclopedia provides a historical overview of institutions and systems around the world, as well as penal theories, prisoner culture and life, and notable prisoners and personnel. Readers will find a plethora of information including material on such famous prisons as the Tower of London and Alcatraz, as well as on such topics as boot camps and parole. Other entries include Devil's Island, supermaximum prisons, Nelson Mandela, Pennsylvania system, and Amnesty International. Numerous appendixes list famous prisoners, prison museums, prison slang, and more.
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Beginning Linux Programming 2nd Edition

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Beginning Linux Programming 2nd Edition (Linux Programming Series) by Neil Matthew
Wrox Pr Inc | Sep 01 1999 | ISBN: 1861002971 | Pages: 980 | PDF | 2.75 MB
If you've already got Linux up and running on your machine and you really want to exploit its capabilities, Beginning Linux Programming is packed full of useful information that will keep you busy for weeks. In spite of its title, Beginning Linux Programming isn't oriented toward novices. It assumes that you're a competent C programmer but are simply new to the specifics of Linux. Authors Neil Matthew and Richard Stones introduce a plethora of fundamental concepts including shell programming, file access, and using curses to write full-screen, character-based programs.

Beginning Linux Programming 2nd Edition
But that's just the start. They cover advanced topics such as processes, pipes, semaphores, and sockets – and of course, they address issues common to Internet programming such as using CGI (Common Gateway Interface). The book is a superb resource for anyone who has really wanted to put the pedal to the metal in Linux. This revised second edition has been completely updated, and now covers programming in Perl, an introduction to writing applications for the GNOME desktop, and a new chapter about writing device drivers.
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Kettenhund!: The German Military Police in the Second World War

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Kettenhund!: The German Military Police in the Second World War by Gordon Williamson
English | January 19, 2015 | ISBN: 1781553327 | 336 Pages | EPUB/MOBI/AZW3 | 77.9 MB
In almost every army in the world, the military police rank amongst those who are least liked by other soldiers despite the essential duties that they carry out, often being amongst the first in and last out in any theatre of war.

Kettenhund!: The German Military Police in the Second World War
In the German armed forces, opinions of the military police were those of fear and distrust, so great were the powers held by these troops. Germany created a plethora of different branches of what were termed 'Ordnungstruppe' ('Troops for Maintaining Order'). Many wore a distinctive metal plate around the neck, leading to their nickname 'Kettenhund' or 'Chain Dogs'. Despite being involved in the brutal treatment of partisans, their skills were so much appreciated by the Allies that on Germany's surrender, Wehrmacht military police units were allowed to remain in post to assist in controlling the vast number of disarmed German troops. Supplemented with previously unpublished photographs, Kettenhund! – The German Military Police in the Second World provides a detailed study of the organisation of these units and the distinctive uniforms and insignia they wore.
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Scikit-Learn Cookbook

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
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Scikit-Learn Cookbook

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
Download links
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Scikit-Learn Cookbook (PDF)

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

Scikit-Learn Cookbook (PDF)
About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.

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