I Saw Anaconda PDF Download
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Author: Jane Clarke
Publisher: Nosy Crow
ISBN: 9780763693367
Category : Anaconda
Languages : en
Pages : 0
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Book Description
What happens when a snake swallows a skink to catch the tick that made her tummy hop and kick? Will she be sick?
Author: Anaconda Company
Publisher:
ISBN:
Category : Copper mines and mining
Languages : en
Pages :
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Book Description
Author: Jane Clarke
Publisher: Nosy Crow
ISBN: 9780763693367
Category : Anaconda
Languages : en
Pages : 0
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Book Description
What happens when a snake swallows a skink to catch the tick that made her tummy hop and kick? Will she be sick?
Author: Jesús A. Rivas
Publisher: Oxford University Press, USA
ISBN: 0199732876
Category : Nature
Languages : en
Pages : 421
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Book Description
Anaconda tells the unexpected story of the world's largest snake. Written by Jes�s Rivas, the undisputed expert on the biology of anacondas, this is the first authoritative book on the biology of the green anaconda. In this book, Rivas describes his experiences over a quarter of a century, exploring the secret life of these fantastic snakes, including: their diet, movement patterns, life and tribulations, survival, behavior, and fascinating reproductive life. More than just presenting facts about anacondas, Rivas tells his story about studying them in the field. Anaconda presents a comprehensive treatment of the natural history of the elusive green anacondas. Drawing on twenty-five years of research on this reptile in the wild and in captivity, Rivas delves into the biology, behavior, demography, reproductive habits, and diet of the anaconda, as well as issues relating to its conservation. Rivas uses an ecological and evolutionary framework to present his research and supplements hard data with descriptions of his research methods, including how he tracked down the anaconda for observation and study in wild. The resulting book is a complete and engaging examination of the world's largest snake. The rich photographs provided, paired with Rivas' storytelling, makes this the perfect book for anyone looking to learn (or even learn more!) about this mysterious snake.
Author: Chris Minnick
Publisher: John Wiley & Sons
ISBN: 1119889561
Category : Computers
Languages : en
Pages : 919
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Book Description
The go-to guide for learning coding from the ground-up Adding some coding know-how to your skills can help launch a new career or bolster an old one. Coding All-in-One For Dummies offers an ideal starting place for learning the languages that make technology go. This edition gets you started with a helpful explanation of how coding works and how it’s applied in the real-world before setting you on a path toward writing code for web building, mobile application development, and data analysis. Add coding to your skillset for your existing career, or begin the exciting transition into life as a professional developer—Dummies makes it easy. Learn coding basics and how to apply them Analyze data and automate routine tasks on the job Get the foundation you need to launch a career as a coder Add HTML, JavaScript, and Python know-how to your resume This book serves up insight on the basics of coding, designed to be easy to follow, even if you’ve never written a line of code in your life. You can do this.
Author: Dr. M. Dhinakaran ,Prof. P. Deepthi, Dr. S. Shyni Carmel Mary ,Mr. Arpit Namdev
Publisher: Booksclinic Publishing
ISBN: 9355359934
Category : Education
Languages : en
Pages : 207
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Book Description
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Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119330521
Category : Computers
Languages : en
Pages : 435
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Book Description
Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.
Author: Frank Millstein
Publisher: Frank Millstein
ISBN:
Category : Computers
Languages : en
Pages : 643
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Book Description
Programming With Python - 8 BOOK BUNDLE!! Deep Learning With Keras Here Is A Preview Of What You’ll Learn Here… The difference between deep learning and machine learning Deep neural networks Convolutional neural networks Building deep learning models with Keras Multi-layer perceptron network models And much more... Convolutional Neural Networks In Python Here Is A Preview Of What You’ll Learn Here… Convolutional neural networks structure How convolutional neural networks actually work Convolutional neural networks applications The importance of convolution operator How to build a simple image classification CNN And much, much more! Python Machine Learning Here Is A Preview Of What You’ll Learn Here… Basics behind machine learning techniques Most commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests Solving multi-clasisfication problems Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn Solving multi-label classification problems And much, much more... Machine Learning With TensorFlow Here Is A Preview Of What You’ll Learn Here… What is machine learning Main uses and benefits of machine learning How to get started with TensorFlow, installing and loading data Data flow graphs and basic TensorFlow expressions Creating MNIST classifiers with one-hot transformation And much, much more... Data Analytics With Python Here Is A Preview Of What You’ll Learn Here… What is Data Analytics? Difference between data science, big data and data analytics Installing python Python data structures Pandas series and data frames And much, much more... Natural Language Processing With Python Here Is A Preview Of What You’ll Learn Here… Challenges of natural language processing How natural language processing works? Part of speech tagging N-grams Running natural language processing script And much, much more... DevOps Handbook Here Is A Preview Of What You’ll Learn Here… Issues and mistakes plaguing software development What is software development life cycle? How software development life cycle works? The origins of devops Testing and building systems tools And much, much more... DevOps Adoption Here Is A Preview Of What You’ll Learn Here… Devops definition Overcoming traditional dev and ops Devops and security integration Devops success factors Is devops right for you? And much, much more... Get this book bundle NOW and SAVE money!
Author: Christine Garrard
Publisher: Simon and Schuster
ISBN: 163835314X
Category : Computers
Languages : en
Pages : 558
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Book Description
Summary Geoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This book is about the science of reading, analyzing, and presenting geospatial data programmatically, using Python. Thanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how. About the Book Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models. What's Inside Geoprocessing from the ground up Read, write, process, and analyze raster data Visualize data with matplotlib Write custom geoprocessing tools Three additional appendixes available online About the Reader To read this book all you need is a basic knowledge of Python or a similar programming language. About the Author Chris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS. Table of Contents Introduction Python basics Reading and writing vector data Working with different vector file formats Filtering data with OGR Manipulating geometries with OGR Vector analysis with OGR Using spatial reference systems Reading and writing raster data Working with raster data Map algebra with NumPy and SciPy Map classification Visualizing data Appendixes A - Installation B - References C - OGR - online only D - OSR - online only E - GDAL - online only
Author: Daniel Reilly
Publisher: No Starch Press
ISBN: 1718502575
Category : Computers
Languages : en
Pages : 313
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Book Description
Use applied math to map fire stations, develop facial recognition software, solve the art gallery problem and more in this hands-on, real-world infosec book. Explore the intersection of mathematics and computer security with this engaging and accessible guide. Math for Security will equip you with essential tools to tackle complex security problems head on. All you need are some basic programming skills. Once you’ve set up your development environment and reviewed the necessary Python syntax and math notation in the early chapters, you’ll dive deep into practical applications, leveraging the power of math to analyze networks, optimize resource distribution, and much more. In the book’s final chapters, you’ll take your projects from proof of concepts to viable applications and explore options for delivering them to end users. As you work through various security scenarios, you’ll: Employ packet analysis and graph theory to detect data exfiltration attempts in a network Predict potential targets and find weaknesses in social networks with Monte Carlo simulations Use basic geometry and OpenCell data to triangulate a phone’s location without GPS Apply computational geometry to Voronoi diagrams for use in emergency service planning Train a facial recognition system with machine learning for real-time identity verification Use spatial analysis to distribute physical security features effectively in an art gallery Whether you’re an aspiring security professional, a social network analyst, or an innovator seeking to create cutting-edge security solutions, this book will empower you to solve complex problems with precision and confidence. Embrace the intricate world of math as your secret weapon in computer security! Covers Python 3.x
Author: Elizabeth Raum
Publisher: Snakes
ISBN: 9781607533719
Category : Juvenile Nonfiction
Languages : en
Pages : 0
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Book Description
"Describes anacondas including what they eat, where they live, and information about their life cycle and interaction with humans"--Provided by publisher.
