Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Ball Python Notebook
Download Ball Python Notebook full books in PDF, epub, and Kindle. Read online Ball Python Notebook ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis The Mystery of the Ball Python by : Jessica Lee Anderson
Download or read book The Mystery of the Ball Python written by Jessica Lee Anderson and published by Capstone. This book was released on 2023 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Naomi and her snake-saving club rescue a ball python, not a species native to Austin, Texas, so they need to investigate whether this pet is an escapee, or simply dumped when the owner got tired of it. Includes discussion questions, writing prompts, and web resources.
Download or read book Exotic DVM. written by and published by . This book was released on 2001 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Modeling and Visualization of Physical Systems with Python by : Jay Wang
Download or read book Computational Modeling and Visualization of Physical Systems with Python written by Jay Wang and published by John Wiley & Sons. This book was released on 2015-12-21 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Modeling, by Jay Wang introduces computational modeling and visualization of physical systems that are commonly found in physics and related areas. The authors begin with a framework that integrates model building, algorithm development, and data visualization for problem solving via scientific computing. Through carefully selected problems, methods, and projects, the reader is guided to learning and discovery by actively doing rather than just knowing physics.
Book Synopsis Designer-Morphs, Volume One by : John R. Berry
Download or read book Designer-Morphs, Volume One written by John R. Berry and published by . This book was released on 2010 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Twinkle in the Sky by : James KS Teo
Download or read book A Twinkle in the Sky written by James KS Teo and published by iUniverse. This book was released on 2009-04-07 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: An emir eager to exercise a devious plan sets his sights on Singapore. If he has his way, the small nation in Southeast Asia will disappear from the map. Dangerous friends join the emir: a Russian physicist and a suicide bomber, Inaya Izz Din, whom both are key players in his plan. When the time comes, they will be ready. The plot begins with packets of white powder that are mailed to nine foreign services in Singapore. The contents are mainly harmless, but chaos ensues, and the governments attention is diverted at a crucial time. Meanwhile, Evelyn Lee, a semi-paralyzed woman, finds her life spiraling out of control. But when she has a vision of the Archangel Gabriel and then meets Inaya, her life changes dramatically. What she does not know is that she will play a critical role in the events that are about to unfold. As Evelyn tries to make sense of what is happening, the authorities search frantically for the terrorists. If they fail to unravel the plot, Singapore will be destroyed in A Twinkle in the Sky.
Download or read book The Getty Fiend written by Ken White and published by punctum books. This book was released on 2024-01-27 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Getty Fiend, a contemporary medieval melodrama set in Los Angeles's Getty Museum, takes the reader on a tour filled with rock stars and warrior-kings, werewolves and archivists, sartorial Huns and libertine saints, all seen through the keenly dramatic flair of a collector's eye. A cinematic and labyrinthine take on pulp horror, Ken White's screenplay-in-verse is a monster mash-up of forms and languages, facades and carnal catastrophes, archaic languages and misplaced rhetorics-a campy, fantastical gender-bending transformation into the inadvertently divine. Ken White is a poet and screenwriter. He co-wrote and co-produced the feature film Winter in the Blood, co-directed and co-wrote the short film Universal VIP, as well as directed and co-wrote the short film The Conservationist. He has written or co-written more than a dozen feature scripts, including Blight, The Wereman, The Sorrows, and Cullen's Hound, as well as new scripts, The Orpheum Circuit, The Jennet Device, and a television pilot, LIT, with James Meetze, and most recently the psychological horror feature Wed the Dark, which he directed. White is the author of three books of poetry: Eidolon, The Getty Fiend, and Middlemost Constantine. His work has appeared in The Boston Review, Columbia: A Journal of Literature and Art, Omniverse, Manor House Quarterly, Versal, Spork, Horsethief, EuropeNow, Poets.org, and BOMB Magazine, among others. White is an Assistant Professor of Screenwriting at the Writer's Workshop at the University of Nebrask
Book Synopsis A Simple Introduction to Python by : Stephen Lynch
Download or read book A Simple Introduction to Python written by Stephen Lynch and published by CRC Press. This book was released on 2024-06-11 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Simple Introduction to Python is aimed at pre-university students and complete novices to programming. The whole book has been created using Jupyter notebooks. After introducing Python as a powerful calculator, simple programming constructs are covered, and the NumPy, MatPlotLib and SymPy modules (libraries) are introduced. Python is then used for Mathematics, Cryptography, Artificial Intelligence, Data Science and Object Oriented Programming. The reader is shown how to program using the integrated development environments: Python IDLE, Spyder, Jupyter notebooks, and through cloud computing with Google Colab. Features: No prior experience in programming is required. Demonstrates how to format Jupyter notebooks for publication on the Web. Full solutions to exercises are available as a Jupyter notebook on the Web. All Jupyter notebook solution files can be downloaded through GitHub. GitHub Repository of Data Files and a Jupyter Solution notebook: https://github.com/proflynch/A-Simple-Introduction-to-Python Jupyter Solution notebook web page: https://drstephenlynch.github.io/webpages/A-Simple-Introduction-to-Python-Solutions.html
Download or read book Teosinte written by Karen Chertok and published by Strategic Book Publishing. This book was released on 2013-05 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teosinte began as a series of poems and then merged with the symbolism of Regina Szczypiorski's art. It is structured on the seven days and nights of the Mayan Underworld. A parallel story emerged with the author's diagnosis and treatment of breast cancer in Albuquerque, New Mexico, in December 2010. This book is an honest account of one woman processing the system of cancer treatment in our country. It was written in the form of poetry and journals over a period of ten years, culminating with the assertion of a new myth; a myth that responds to the common theme of the phoenix across cultures and traditions; a myth that states the phoenix has landed, built her nest, burned and flew ... and now it's time to move forward. "After a less than ideal childhood and a difficult adult life, being hit with cancer did not make sense to me. I knew as soon as I was diagnosed I would write a book. My oldest son asked me if I thought about reading some self-help/survivor stories and I replied to him, 'No, I'm writing one.' That was Christmas Day 2010."
Download or read book Dead Pan written by Gayle Trent and published by BelleBooks. This book was released on 2009-11-01 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Book Two of Gayle Trent's cozy mystery series about a Virginia baker turned mystery sleuth. Once again Daphne Martin is the prime suspect when her baked goods are found at the scene of the crime.
Book Synopsis Data Structures & Algorithms in Python by : Robert Lafore
Download or read book Data Structures & Algorithms in Python written by Robert Lafore and published by Addison-Wesley Professional. This book was released on 2022-09-06 with total page 1416 pages. Available in PDF, EPUB and Kindle. Book excerpt: LEARN HOW TO USE DATA STRUCTURES IN WRITING HIGH PERFORMANCE PYTHON PROGRAMS AND ALGORITHMS This practical introduction to data structures and algorithms can help every programmer who wants to write more efficient software. Building on Robert Lafore's legendary Java-based guide, this book helps you understand exactly how data structures and algorithms operate. You'll learn how to efficiently apply them with the enormously popular Python language and scale your code to handle today's big data challenges. Throughout, the authors focus on real-world examples, communicate key ideas with intuitive, interactive visualizations, and limit complexity and math to what you need to improve performance. Step-by-step, they introduce arrays, sorting, stacks, queues, linked lists, recursion, binary trees, 2-3-4 trees, hash tables, spatial data structures, graphs, and more. Their code examples and illustrations are so clear, you can understand them even if you're a near-beginner, or your experience is with other procedural or object-oriented languages. Build core computer science skills that take you beyond merely “writing code” Learn how data structures make programs (and programmers) more efficient See how data organization and algorithms affect how much you can do with today's, and tomorrow's, computing resources Develop data structure implementation skills you can use in any language Choose the best data structure(s) and algorithms for each programming problem—and recognize which ones to avoid Data Structures & Algorithms in Python is packed with examples, review questions, individual and team exercises, thought experiments, and longer programming projects. It's ideal for both self-study and classroom settings, and either as a primary text or as a complement to a more formal presentation.
Book Synopsis A Primer on Scientific Programming with Python by : Hans Petter Langtangen
Download or read book A Primer on Scientific Programming with Python written by Hans Petter Langtangen and published by Springer. This book was released on 2016-07-28 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015
Download or read book Reptiles written by and published by . This book was released on 2009 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Practical Data Science with Python 3 by : Ervin Varga
Download or read book Practical Data Science with Python 3 written by Ervin Varga and published by Apress. This book was released on 2019-09-07 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks, like, SciPy, scikitlearn, Numba, Apache Spark, etc. The book is structured around examples, so you will grasp core concepts via case studies and Python 3 code. As data science projects gets continuously larger and more complex, software engineering knowledge and experience is crucial to produce evolvable solutions. You'll see how to create maintainable software for data science and how to document data engineering practices. This book is a good starting point for people who want to gain practical skills to perform data science. All the code will be available in the form of IPython notebooks and Python 3 programs, which allow you to reproduce all analyses from the book and customize them for your own purpose. You'll also benefit from advanced topics like Machine Learning, Recommender Systems, and Security in Data Science. Practical Data Science with Python will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors. What You'll LearnPlay the role of a data scientist when completing increasingly challenging exercises using Python 3Work work with proven data science techniques/technologies Review scalable software engineering practices to ramp up data analysis abilities in the realm of Big Data Apply theory of probability, statistical inference, and algebra to understand the data science practicesWho This Book Is For Anyone who would like to embark into the realm of data science using Python 3.
Book Synopsis Python Data Structures and Algorithms by : Benjamin Baka
Download or read book Python Data Structures and Algorithms written by Benjamin Baka and published by Packt Publishing Ltd. This book was released on 2017-05-30 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement classic and functional data structures and algorithms using Python About This Book A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures. Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Who This Book Is For The book will appeal to Python developers. A basic knowledge of Python is expected. What You Will Learn Gain a solid understanding of Python data structures. Build sophisticated data applications. Understand the common programming patterns and algorithms used in Python data science. Write efficient robust code. In Detail Data structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications. Style and Approach The easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications.
Download or read book AUUGN written by and published by . This book was released on 2001-11 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Foundations of Data Science with Python by : John M. Shea
Download or read book Foundations of Data Science with Python written by John M. Shea and published by CRC Press. This book was released on 2024-02-22 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality. This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science. Key Features: Applies a modern, computational approach to working with data Uses real data sets to conduct statistical tests that address a diverse set of contemporary issues Teaches the fundamentals of some of the most important tools in the Python data-science stack Provides a basic, but rigorous, introduction to Probability and its application to Statistics Offers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material
Book Synopsis Dreaming in Turtle by : Peter Laufer
Download or read book Dreaming in Turtle written by Peter Laufer and published by St. Martin's Press. This book was released on 2018-11-20 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating exploration into the world of turtles across the globe; Laufer charts the lore, love, and peril to a beloved species. Dreaming in Turtle is a compelling story of a stalwart animal prized from prehistory through to today—an animal threatened by human greed, pragmatism, and rationalization. It stars turtles and shady and heroic human characters both, in settings ranging from luxury redoubts to degraded habitats, during a time when the confluence of easy global trade, limited supply, and inexhaustible demand has accelerated the stress on species. The growth of the middle class in high-population regions like China, where the turtle is particularly valued, feeds this perfect storm into which the turtle finds itself lashed. This is a tale not just of endangered turtles but also one of overall human failings, frailties, and vulnerabilities—all punctuated by optimistic hope for change fueled by dedicated turtle champions.
