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: 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: Alice Schertle
Publisher: Disney-Hyperion
ISBN: 9781423113546
Category : Juvenile Fiction
Languages : en
Pages : 0
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Book Description
What do you do when your teacher assigns you ten pages of homework, a raptor swoops down and grabs you, and you suddenly find yourself all alone in the jungle about to be swallowed by a python? When you're Digby, the solution to every problem is in your backpack.
Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119547644
Category : Computers
Languages : en
Pages : 496
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Book Description
The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
Author: Pooja Baraskar
Publisher: BPB Publications
ISBN: 935551624X
Category : Computers
Languages : en
Pages : 406
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Book Description
DESCRIPTION In today's era of Artificial Intelligence and the vast expanse of big data, understanding how to effectively utilize search algorithms has become crucial. Every day, billions of searches happen online, influencing everything from social media recommendations to critical decisions in fields like finance and healthcare. Behind these seemingly straightforward searches are powerful algorithms that determine how information is discovered, organized, and applied, fundamentally shaping our digital interactions. This book covers various search algorithms, starting with linear and binary searches, analyzing their performance, and implementing them in Python. It progresses to graph traversal algorithms like DFS and BFS, including Python examples and explores the A* algorithm for optimal pathfinding. Advanced search techniques and optimization best practices are discussed, along with neural network applications like gradient descent. You will also learn to create interactive visualizations using Streamlit and explore real-world applications in gaming, logistics, and Machine Learning. By the end, readers will have a solid grasp of search algorithms, enabling them to implement them efficiently in Python and tackle complex search problems with ease. KEY FEATURES ● Comprehensive coverage of a wide range of search algorithms, from basic to advanced. ● Hands-on Python code examples for each algorithm, fostering practical learning. ● Insights into the real-world applications of each algorithm, preparing readers for real-world challenges. WHAT YOU WILL LEARN ● Understand basic to advanced search algorithms in Python that are crucial for information retrieval. ● Learn different search methods like binary search and A* search, and their pros and cons. ● Use Python’s visualization tools to see algorithms in action for better understanding. ● Enhance learning with practical examples, challenges, and solutions to boost programming skills. WHO THIS BOOK IS FOR This book is for software engineers, data scientists, and computer science students looking to master search algorithms with Python to optimize search algorithms in today's data-driven environments. TABLE OF CONTENTS 1. Introduction to Search Algorithms 2. Linear and Binary Search 3. Depth Search and Breadth First Search 4. Heuristic Search: Introducing A* Algorithm 5. Advanced Search Algorithms and Techniques 6. Optimizing and Benchmarking Search Algorithms 7. Search Algorithms for Neural Networks 8. Interactive Visualizations with Streamlit 9. Search Algorithms in Large Language Models 10. Diverse Landscape of Search Algorithms 11. Real World Applications of Search Algorithms
Author: Silas Toms
Publisher: Packt Publishing Ltd
ISBN: 1788293819
Category : Computers
Languages : en
Pages : 431
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Book Description
Explore GIS processing and learn to work with various tools and libraries in Python. Key Features Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas Leverage new ArcGIS API to process geospatial data for the cloud. Explore various Python geospatial web and machine learning frameworks. Book Description Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API. What you will learn Manage code libraries and abstract geospatial analysis techniques using Python 3. Explore popular code libraries that perform specific tasks for geospatial analysis. Utilize code libraries for data conversion, data management, web maps, and REST API creation. Learn techniques related to processing geospatial data in the cloud. Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite. Who this book is for The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3.
Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119330491
Category : Computers
Languages : en
Pages : 434
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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: Ethan Lang
Publisher: "O'Reilly Media, Inc."
ISBN: 1098151755
Category : Computers
Languages : en
Pages : 349
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Book Description
In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you're a beginner or an experienced user, this book equips you with the foundational knowledge to grasp and implement statistical models within Tableau. Gain the confidence to speak fluently about the models you employ, driving adoption of your insights and analysis across your organization. As AI continues to revolutionize industries, possessing the skills to leverage statistical models is no longer optional—it's a necessity. Stay ahead of the curve and harness the full potential of your data by mastering the ability to interpret and utilize the insights generated by these models. Whether you're a data enthusiast, analyst, or business professional, this book empowers you to navigate the ever-evolving landscape of data analytics with confidence and proficiency. Start your journey toward data mastery today. In this book, you will learn: The basics of foundational statistical modeling with Tableau How to prove your analysis is statistically significant How to calculate and interpret confidence intervals Best practices for incorporating statistics into data visualizations How to connect external analytics resources from Tableau using R and Python
Author: Jonathan D. Hill
Publisher: University of Illinois Press
ISBN: 0252091515
Category : Social Science
Languages : en
Pages : 225
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Book Description
Made-from-Bone is the first work to provide a complete set of English translations of narratives about the mythic past and its transformations from the indigenous Arawak-speaking people of South America. Among the Arawak-speaking Wakuénai of southernmost Venezuela, storytellers refer to these narratives as "words from the primordial times," and they are set in an unfinished space-time before there were any clear distinctions between humans and animals, men and women, day and night, old and young, and powerful and powerless. The central character throughout these primordial times and the ensuing developments that open up the world of distinct peoples, species, and places is a trickster-creator, Made-from-Bone, who survives a prolonged series of life-threatening attacks and ultimately defeats all his adversaries. Carefully recorded and transcribed by Jonathan D. Hill, these narratives offer scholars of South America and other areas the only ethnographically generated cosmogony of contemporary or ancient native peoples of South America. Hill includes translations of key mythic narratives along with interpretive and ethnographic discussion that expands on the myths surrounding this fascinating and enigmatic character with broad appeal throughout various folkloric traditions.
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: Jesse M. Kinder
Publisher: Princeton University Press
ISBN: 0691180571
Category : Science
Languages : en
Pages : 168
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Book Description
A fully updated tutorial on the basics of the Python programming language for science students Python is a computer programming language that is rapidly gaining popularity throughout the sciences. This fully updated edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics Monte Carlo simulations Numerical methods, including solving ordinary differential equations Image processing Animation Numerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more. This current edition brings the discussion of the Python language, Spyder development environment, and Anaconda distribution up to date. In addition, a new appendix introduces Jupyter notebooks.
