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Rabu, 05 Agustus 2015

PDF Download Chevrolet Camaro, '10-'15 (Haynes Automotive)

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About the Author

Haynes Publishing is the worldwide leader in automotive and motorcycle repair, maintenance and customizing manuals. Every manual is written from hand-on experience based on a complete teardown of the machine, which is the step-by-step procedure of dismantling a particular vehicle part-by-part. This is followed by the detailed rebuilding of the model. Hundreds of photos accompany each manual's step-by-step instructions.

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Product details

Series: Haynes Automotive

Paperback: 336 pages

Publisher: Haynes Manuals N. America, Inc.; 1st edition (November 15, 2016)

Language: English

ISBN-10: 1620922002

ISBN-13: 978-1620922002

Product Dimensions:

8.2 x 0.8 x 10.8 inches

Shipping Weight: 1.5 pounds (View shipping rates and policies)

Average Customer Review:

4.6 out of 5 stars

10 customer reviews

Amazon Best Sellers Rank:

#265,792 in Books (See Top 100 in Books)

not like the old chilton manuals but may help in a crunch.

Been buying Haynes Manuals for decades now - still an amazing resource.

great delivery time. Awesome product.

Just purchased this thinking it might have more info than the Chilton manual; that I also purchased. Imagine my surprise to find out both are published by the Haynes Publishing Group and is pretty much identical to the Chilton branded manual; wording and illustrations both. If you need one of these manuals you don't need them both so save your money and only buy one.

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Senin, 03 Agustus 2015

Download PDF What a Good Eater!, by Alessandra Macaluso Amy Godiwalla

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What a Good Eater!, by Alessandra Macaluso Amy Godiwalla

Product details

Paperback: 172 pages

Publisher: CreateSpace Independent Publishing Platform (July 19, 2016)

Language: English

ISBN-10: 0997532300

ISBN-13: 978-0997532302

Product Dimensions:

8 x 0.4 x 10 inches

Shipping Weight: 15 ounces (View shipping rates and policies)

Average Customer Review:

4.9 out of 5 stars

120 customer reviews

Amazon Best Sellers Rank:

#176,386 in Books (See Top 100 in Books)

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Waste money! Wish I can return it.

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Kamis, 30 Juli 2015

PDF Download Guns,Germs, and Steel: The Fates of Human Societies | Summary

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Product details

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margin: 0.5em 0px 0em 25px !important;

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Audible Audiobook

Listening Length: 1 hour and 26 minutes

Program Type: Audiobook

Version: Unabridged

Publisher: Summary Station

Audible.com Release Date: May 13, 2016

Language: English, English

ASIN: B01FKMAC7I

Amazon Best Sellers Rank:

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Selasa, 28 Juli 2015

PDF Download A Rough-Shooting Dog: The First Season of a Hunting Spaniel

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A Rough-Shooting Dog: The First Season of a Hunting Spaniel

From the Publisher

A Rough Shooting Dog is the beautifully told story of the selection, training, and first hunting season of Jenny, the author's English Springer Spaniel. In lyrical and moving prose, Charles Fergus explores how the intimate bonds between a hunting dog and her master produce a deeper understanding and celebration of the natural world. His insights on animal psychology, country living, writing, and animal breeding are interspersed among the eloquent meditations on the joys and frustrations of owning a dog. During the course of his first season with Jenny, Fergus loses his father, becomes a father himself, and finds that hunting with a dog is one way to get close to wildlife and to a deeper appreciation for the natural cycles of life and death. But this is not a book that will appeal solely to hunters; on the contrary, anyone who has ever owned a dog will take great pleasure in reading the story of Jenny and her master. "What a knockout book! Like all labors of love, a priveledge to read. A treasure of the woods." -- Rick Bass, author of Winter: Notes From Montana

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Product details

Paperback: 256 pages

Publisher: Main Street Books; Edition Unstated edition (September 1, 1995)

Language: English

ISBN-10: 0385479921

ISBN-13: 978-0385479929

Product Dimensions:

5.5 x 1 x 8.2 inches

Shipping Weight: 8.8 ounces

Average Customer Review:

5.0 out of 5 stars

3 customer reviews

Amazon Best Sellers Rank:

#1,165,001 in Books (See Top 100 in Books)

great book. recommended by friend and easily found on Amazon!

A nice read. The book was recommended to me by a ESS breeder I got a springer spaniel pup from.

In A Rough Shooting Dog, Charles Fergus made me think: about nature, about hunting, about dogs, about birth and death and the cycles of life. Most importantly, he reminded me of the simple joy I had as a child when I experienced the sights, sounds and smells of nature. Thanks, Charles, I'm about to hit 40......and I had almost forgotten.

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Minggu, 19 Juli 2015

Get Free Ebook Treatise on Invertebrate Paleontology: Trilobita

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Product details

Hardcover

Publisher: Geological Society of Amer; Reprint edition (November 1, 1997)

Language: English

ISBN-10: 0813731151

ISBN-13: 978-0813731155

Product Dimensions:

7.5 x 1.8 x 10.2 inches

Shipping Weight: 3.2 pounds

Average Customer Review:

5.0 out of 5 stars

1 customer review

Amazon Best Sellers Rank:

#1,563,879 in Books (See Top 100 in Books)

At last, volume one of the long-awaited update to Moore's 1959 epic. It is difficult to understand the monumental amount of work in one of these volumes of the Treatise without reading through it. Take the chapter on ontogeny, for example.  How do we know how a trilobite developed? After all, we can hardly watch one.  Only by collecting hundreds of fossils - at first, no doubt, misidentified as different species - and comparing them, across collection, institution, and probably national boundaries: work which may take multiple workers decades. The 530 pages of this volume represents whole lifetimes of dedicated research.The Treatise is a technical reference for professional palaeontologists so you will want to be a very enthusiastic amateur before you consider buying it. If you are, though, then this is definitely the definitive word on trilobite morphology, habit, ontogeny, evolution and classification available today. It is not a complete systematic review of the whole class, however: This is the first volume of a work which is expected to stretch to three. Systematic descriptions are given for the Agnostida and Redlichiida only.Readers familiar with the 1959 version will first notice that the familiar line drawings have been almost totally replaced by excellent (at least 600 dpi) photographs of actual fossils. As before, taxonomic descriptions are provided down to generic level, providing authorship, synonymy, diagnostic morphology, type species and provenance.

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Minggu, 12 Juli 2015

Get Free Ebook , by Matthew Brehm

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Product details

File Size: 27461 KB

Print Length: 130 pages

Page Numbers Source ISBN: 1781576270

Publisher: Ilex Press (March 9, 2017)

Publication Date: March 9, 2017

Language: English

ASIN: B01N27OJIK

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Not what I expected. Not a book for beginners.

This is a book that teaches the steps and basic abilities needed to sketch any object that you see. It begins by giving you a realistic assumption about what to expect out of it, which is to sketch objects 'roughly' accurately in 15 minutes i.e quick. To go further, the title is a bit misleading in that you are not going to learn to sketch in 15 minutes, rather after reading the book and following the methods, you will be able to sketch an object in 15 minutes. Actual reading-to-learn time I would estimate would take several days to get the jist down.The structure goes something like this:1. Learn what it is you are actually doing i.e. how to approach sketching, say, a building.2. Learn how to start from the basics -- shell -- shape -- structure -- details.3. Different types of contrast lines and how to draw them appropriately.4. The tools needed to sketch.In general, you *will* come out of this book with a different approach to drawing. Coming from someone who has a very artistic mind, but cannot, in anyway, relate that onto a page by drawing, this book allowed me to approach drawing in a different way that will allow me to focus my thoughts on drawing bit by bit. You will, then, be able to sketch quite well following this book however don't expect complicated drawing aspects explained. This will only teach you a very basic and straightforward sketch. I would say this is perfect for a traveler who, instead of wanting to take pictures, has the urge to draw a place they are at, or an event they are experiencing. You can then look back and be 'there' again -- albeit roughly.Good book overall, just don't expect detailed instructions on minute details of sketching.

Having sketched most of my life, I lack the rigor to be a “true artist”. When I was in high school, I loved to draw, but had little patience to really learn to do it well. I then spent 20 years on a drawing board drafting mechanical parts and schematics. Trust me, this is not “artistic”. However I still did “hand-done” 3D machine sketches to provide with estimates or to describe something, I was working on. So you see where I’m going. These two parts of my brain were very separate. Orthographic projection (most mechanical drawings) deals with a lot of detail, but even then you don’t dimension or include everything. So where am I going with this? This book discusses the mechanics of drawing pictures of cityscapes and brings in some fundamental drawing principles.Many aspects of a good drawing are:**** What are the boundaries of your drawing?**** What level of detail do you plan to incorporate?Items such as this; despite knowing enough to do this in mechanical drawing, I never put in practice in my hand sketches, so often I had unbalanced sketches, of way too much detail in areas, I did not care about. Maybe you do too. This book if you put some of the ideas in practice will help you sort that out.Some of the way it does that is in the chapters below.INTRODUCTION:Exploring why you want to draw and the equipment necessary to do so.FUNDAMENTAL DRAWING SKILLS:I found this section essential. There are somethings as a sketcher, I have never done properly. This gives you a whole bunch of common sense tips and tricks, that to be honest, never dawned on me. I and maybe you start sketching and then wonder what happened. This section helps you frame what you want to draw and helps you make those decisions upfront, so by the time you are drawing you have a clear path. None of it is hard.BEGINNING THE DRAWING:Imagine this, starting with a rough framework and then steps to work to what your desired end product is.COMMON CHALLENGES AND STRATEGIES:What makes this book work is all the sketches inside showing what the artist means. It helps with the why and when.LIGHT AND SHADE:This is a great section that no beginning artist thinks through fully. It helps you do understand why, good artists drawings look better.ENTOURAGE:All the other stuff that is around buildings, trees, vehicles & people. Completes the drawing. However you get to pick or choose what you include. The drawing should represent what you want to portray, not a 100% faithful reproduction.CONCLUSIONIn the end it takes practice. You also need to learn from your failures. Essentially, what you might consider a failure is when you don’t achieve what you set out to do. This is a learning opportunity, not so much a failure as you are practicing. Further advice to try new approaches once you get into a rut, as it will only freshen up your skill set.Overall this is a great book with valuable advice and I hope to get cracking on drawing again, as I feel this has given me some great pointers.

A beginners guide that will give you all the tools and terms to get you started.The book starts with the usual introduction to the materials you'll need and fundamental skills you'll need to get started. This is the usual stuff you'll find in a majority of drawing books, but I liked the crosshatching section. This type of shading and technique is usually not covered in most books, but if you're going to do environment or urban sketching, hatching is a great tool.42 pages in you get to the real meat of the book. There are 3 really good examples of how to start your lay-in, and how to build from that point. The only thing I don't like about these examples is the lesson on perspective comes after that. It would have been better to come before that so you get an idea of the perspective the artist was going for in the examples in case you want to follow along.The lessons on perspective are good and cover most of the basics, but if you want to get better at that I would follow up with some additional lessons.Other things that stuck out to me were lessons on windows and water. That's rarely ever talked about and is a much-needed lesson.I don't want to go on and on in full detail about the rest of the book. I recommend this for beginners of urban or environmental art. This covers all the basics to get you started. If you are a true beginner it won't explain in detail what everything is, but it's a great book to get you started drawing and to ask the right questions of your teachers or just looking up something online.

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Senin, 22 Juni 2015

Free Download Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron

Free Download Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron

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Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron

Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron


Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron


Free Download Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron

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Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron

About the Author

Alberto Boschetti Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a PhD in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges involving natural language processing (NLP), machine learning, and probabilistic graph models everyday. He is very passionate about his job and he always tries to stay updated on the latest developments in data science technologies by attending meetups, conferences, and other events.Luca MassaronLuca Massaron is a data scientist and marketing research director who specializes in multivariate statistical analysis, machine learning, and customer insight, with over a decade of experience in solving real-world problems and generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of web audience analysis in Italy to achieving the rank of a top 10 Kaggler, he has always been passionate about everything regarding data and analysis and about demonstrating the potentiality of data-driven knowledge discovery to both experts and nonexperts. Favoring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science by understanding its essentials.

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Product details

Paperback: 258 pages

Publisher: Packt Publishing (April 30, 2015)

Language: English

ISBN-10: 1785280422

ISBN-13: 978-1785280429

Product Dimensions:

7.5 x 0.6 x 9.2 inches

Shipping Weight: 1.2 pounds (View shipping rates and policies)

Average Customer Review:

3.8 out of 5 stars

6 customer reviews

Amazon Best Sellers Rank:

#903,426 in Books (See Top 100 in Books)

I am a senior engineer with years of experience working primarily in C, C#, perl, and T-SQL. I have basic python, and dusty memories of two years of college math. In the last year, my data set has ballooned at the rate of 1Tb every two months and will soon exceed the handling capacity of my old analytics stack. Blessed by my manager with a shiny new hadoop cluster and time to study, I'm learning new tricks. This book is one of the first I found, and for me it was perfect. It reads like a walk-through from a smart coworker: enough to get me going, the most important moving parts, a few gotchas, where to go for help, some simple working examples... It got me moving on my first project in just a few hours. This is the book I'd have written for myself.

It is the book I wish I had available when I was starting a recent research project.In little more than 200 pages it delivers the essential you need to know if you want to do data science and use Python for that (and you should, the authors suggest!). The part of the book I have particularly appreciated is the list of problems you have to face in practice and the proposed solution: loading your data in a fast and easy way by different sources, for instance, or the way to build and tune complex machine learning models for regression and classification problems. Your data can't fit into memory? It happens, as you know. Well there's a paragraph just for that and there are clear and efficient coding examples to solve the problem. I feel safer with this book with so many examples and solutions. Some books I was looking for help in my projects. This one appears to be very useful.Carlo.

compared with other data science book in python, this one is thinner but still comprehensive. Not the best if you want to start learning all the tools and methods, but great for reviewing and refreshing what you've learnt from other places

Although I am an experienced Data Scientist who knows well Python's stack for Data Science (scikit-learn, pandas, statsmodels, numpy, scipy, matplotlib, IPython), this book captured my attention and I have read a half of it during the first two days after getting the book. This book is easy to read for novices and experts alike (it does not contain a lot of math and wherever there are formulas they are not difficult to grasp), though some familiarity with Python packages comprising the Data Science stack will greatly facilitate material understanding. The writing style authors chose is excellent as it teaches readers in a very logical and pedagogically appealing way: the way of data pre-processing and analysis occur in projects that data scientists and engineers often encounter when aiming to solve the real-worlds tasks.The books begins with a description of how to install Python and various packages needed to run the code. The purpose of these packages is also explained. Different Python distributions are briefly discussed together with their characteristics, so that a reader can select a distribution particularly suitable to his/her needs. As all code examples in the book are run in IPython Notebook, special attention is paid to a short but comprehensive introduction into IPython itself. Data sets used in the book are described too.After advising on installation of Python and its packages, the book guides readers towards fast and easy data loading from a file, including the case when the entire data set cannot be loaded during one read in the memory and the solution offered is to load it in chunks by using pandas.Furthermore, answers to the following problems are provided: how to deal with erroneous records, how to treat categorical and text data, what are useful data cleansing and transformation operations implemented in pandas, how to use the optimized data structures - numpy arrays - and what operations on them can be done.Once data is loaded and converted to a suitable representation, the book then spends a chapter on the general Data Science pipeline that can be implemented with scikit-learn. The pipeline includes dimensionality reduction via either feature extraction or feature selection, outlier detection, predictive modeling (classification and regression), optimization of model's hyper-parameters, and model's performance evaluation. This material creates the holistic view what typical data analysis is comprised of.The next chapter introduces several popular machine learning algorithms in detail. Among them are linear and logistic regression, Naive Bayes, support vector machines, bagging and boosting ensembles. Special attention is paid to scikit-learn solutions of the 3Vs of big data: namely, volume, velocity and variety. Scalability with volume is solved with incremental learning when at any given moment of time, only a portion (batch) of the entire data fit to the available memory is used to update a model, hence, a model learns incrementally as new batches arrive. To keep up with velocity, scikit-learn offers a number of classification and regression algorithms optimized for speed. Data variety is deal with the help of hashing and sparse matrices. The chapter ends with short examples of doing basic operations of Natural Language Processing with the NLTK package and data clustering.Final two chapters are devoted to social network analysis with the NetworkX package and data visualization with the matplotlib and pandas packages, respectively.Although I have both paper and electronic versions of this book, I would advise first to buy the paper version as numerous code is much easier to understand in this format because one can see the entire snapshot at once.

In the first 2 chapters there are four errors in the programs that are used as examples. I sent three requests including screenshots of the errors to the support link for assistance with only one response which was that they would send my issue to the author. I never heard back. It has a publishing date of April 2015 yet is does not address the change of ipython notebook to jupyter. The book is junk! Don't waste your money!

The book covers fundamentals of Data Science. Code for the book is available from the publisher. I used Anaconda Launcher which nicely converted the notebooks to jupyter and ran them well. My favorite chapter was chapter five Social Network Analysis. I like the table on graph examples, type, node and edges. It is useful for writing code.

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Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron PDF

Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron PDF
Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron PDF