Otros libros que te pueden interesar

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  HowExpert Guide to Becoming a...

  HowExpert, Jennifer Schneid

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  If you want to discover how to become a math teacher, teach mathematics, and help students learn math, then checkout HowExpert Guide to Becoming a Math Teacher. 
  Whether you’re a math tutor, a newly minted math teacher about to start your first job, or a seasoned educator who has already been in the classroom a while, those who desire to become effective mathematics educators would benefit from this guide. Even teachers of other disciplines could learn some new information and techniques. With helpful tips and tricks from a math educator who taught in a community college for seventeen years and tutored math for over twenty years to students from kindergarten up to college undergraduate level, you will gain new knowledge to help you reach your students better, get them to be more cooperative, and make your job easier and more fun! You will learn some new information and techniques that will help you engage your students better and simplify your own tasks so that you have more time for them and your own life. 
  HowExpert Guide to Becoming a Math Teacher encourages you to get to know your students, your resources, your standards, and your technology before you ever design your lessons. It helps you to understand what topics need further research and what is important to prioritize. It also provides many helpful websites and strategies to use right away to resolve problems that may arise or save you time by providing something helpful for you to use. It is not all-inclusive, but it gives you a great place to start to get your teaching career off the ground or improve what it already is. 
  Check out HowExpert Guide to Becoming a Math Teacher to discover how to become a math teacher, teach mathematics, and help students learn math. 
  HowExpert publishes quick how to guides on all topics from A to Z by everyday experts.

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  The Big Bang of Numbers - How to...

  Manil Suri

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  Our universe has multiple origin stories, from religious creation myths to the Big Bang of scientists. But if we leave those behind and start from nothing—no matter, no cosmos, not even empty space—could we create a universe using only math? Irreverent and boundlessly creative, The Big Bang of Numbers invites us to try. 
   
   
   
  In this new mathematical origin story, mathematician and novelist Manil Suri creates a natural progression of ideas needed to design our world, starting with numbers and continuing through geometry, algebra, and beyond. He reveals the secret lives of real and imaginary numbers, teaches them to play abstract games with real-world applications, discovers unexpected patterns that connect humble lifeforms to enormous galaxies, and explores mathematical underpinnings for randomness and beauty. With evocative examples ranging from multidimensional crochet to the Mona Lisa's asymmetrical smile, as well as ingenious storytelling that helps illuminate complex concepts like infinity and relativity, The Big Bang of Numbers charts a playful, inventive course to existence. Mathematics, Suri shows, might best be understood not as something we invent to explain Nature, but as the source of all creation, whose directives Nature tries to obey as best she can.

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  Hands-on NumPy for Numerical...

  Rituraj Dixit

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  Unlock the Power of NumPy to Accelerate Data Analysis and Computing.
  Book Description
  NumPy is the backbone of numerical computing in Python, powering everything from scientific research to machine learning and AI applications. Mastering NumPy is essential for anyone working with data, enabling faster computations, efficient data structures, and seamless integration with advanced analytical tools.
  Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance.
  Whether you're building your foundation in numerical computing or looking to enhance your data analysis workflows, this book will give you a competitive edge. Don't get left behind—harness the full power of NumPy to supercharge your data science and machine learning projects today!
  Table of Contents
  1. Getting Started with NumPy
  2. Understanding NumPy Array
  3. Data Type (dtype) in NumPy Array
  4. Indexing and Slicing in NumPy Array
  5. NumPy Array Operations
  6. NumPy Array I/O
  7. Linear Algebra with NumPy
  8. Advanced Numerical Computing
  9. Exploratory Data Analysis
  10. Performance Optimization
  11. Implementing a Machine Learning Algorithm      
  
  Index

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  Advabced Scrum Case Studies Vol...

  Frederik Mark Fowler

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  You are an Agile Coach and you are being called in to fix a problem with project ownership.  There is a team of developers who look good on paper but who are not performing up to expectations.  They do not seem to care very much about the work they are doing.  You have been asked to figure out what is wrong and to fix it. 
  What should you do? 
  This case and the others in the series come from the real-world experiences of a group of Scrum professionals who meet regularly to discuss the Scrum Framework and how to apply it to actual situations they have encountered.  These discussions have been led since 2015 by Frederik Mark Fowler, A Doctor of Scrum and Holder of the Professional Scrum Master level III certification awarded by Scrum.org.  Fred has worked with the Scrum Framework for almost 20 years and has trained more then 300 people to become Scrum Masters and Product Owners.  For more information, visit www.Patreon.com/SiliconValleyScrum.

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  The Last Wilderness

  Murray Morgan, Tim McNulty

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  Murray Morgan's classic history of the Olympic Peninsula, originally published in 1955, evokes a remote American wilderness "as large as the state of Massachusetts, more rugged than the Rockies, its lowlands blanketed by a cool jungle of fir and pine and cedar, its peaks bearing hundreds of miles of living ice that gave rise to swift rivers alive with giant salmon." 
   
   
   
  Drawing on historical research and personal tales collected from docks, forest trails, and waterways, Morgan recounts vivid adventures of the area's settlers—loggers, hunters, prospectors, homesteaders, utopianists, murderers, profit-seekers, conservationists, Wobblies, and bureaucrats—alongside stories of coastal first peoples and striking descriptions of the peninsula's wildlife and land. 
   
   
   
  Freshly redesigned and with a new introduction by poet and environmentalist Tim McNulty, this humor-filled saga and landmark love story of one of the most formidably beautiful regions of the Pacific Northwest will inform and engage a new generation of listeners.

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  Data Visualization Guide - Clear...

  Alexa Campbell

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  Have you ever wondered how you can work with large volumes of data sets? 
  Do you ever think about how you can use these data sets to identify hidden patterns and make an informed decision? 
  Do you know where you can collect this information? 
  Have you ever questioned what you can do with incomplete or incorrect data sets? 
  If you said yes to any of these questions, then you have come to the right place. 
  Most businesses collect information from various sources. This information can be in different formats and needs to be collected, processed, and improved upon if you want to interpret it. You can use various data mining tools to source the information from different places. These tools can also help with the cleaning and processing techniques. 
  You can use this information to make informed decisions and improve the efficiency and methods in your business. Every business needs to find a way to interpret and analyze large data sets. To do this, you will need to learn more about the different libraries and functions used to improve data sets. Since most data professionals use Python as the base programming language to develop models, this book uses some common libraries and functions from Python to give you a brief introduction to the language. 
  If you are a budding analyst or want to freshen up on your concepts, this book is for you. It has all the basic information you need to help you become a data analyst or scientist.

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