Numerical Methods with Python: for the Sciences by William Miles (English) Paper

Description: Numerical Methods with Python by William Miles Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 7311011611411110011799101115321151161171001011101161153211611132971121121141111121141059711610132117115101321111023299111109112117116101114321121141111031149710910910511010332119105116104105110321161041013211599105101110116105102105993210010511599 Publisher Description Introduces students to appropriate use of computer programming within the scientific disciplines using Python. Discusses several common applications of programming and implementation using real world examples and hands on programming exercises. Students learn how to model situations such as image recognition, medical diagnosis, spread of disease, and others. The text could be used by students and lecturers for courses in Python, Numerical Methods, or as a first course in Data Science. Author Biography Will Miles received his Ph.D. in Mathematical Sciences from Clemson University in 2003. His doctoral thesis focused on mathematical models for multicomponent, viscoelastic fluid flow. His work has appeared in multiple journals, including the Journal of Numerical Analysis published by the Society for Industrial and Applied Mathematics (SIAM). His love for teaching motivated him to seek a position at a smaller, liberal arts institution, and he took a position at Stetson University shortly after earning his degree. He has been at Stetson University since August 2003. The Universitys focus on undergraduate teaching and research allowed Dr. Miles to turn his efforts toward guiding such projects and engaging with his students in and out of the classroom. While his training is in fluid dynamics, his work with undergraduates has spanned a wide variety of applied fields. Many projects have involved statistical analysis, but others focused on numerical methods for differential equations, linear and nonlinear programming, Fourier and wavelet analysis, regression and data analysis, and other topics. He has published in refereed journals with undergraduates as authors. One project developed a new ranking system for college football and was published in the Journal of Quantitative Analysis in Sports (co-author Gary Fowks). Another project created and designed a new measure of a golfers tendency to improve (or worsen) his play when under pressure (co-author Sammi Smith). This work was accepted to the College Mathematics Journal, a highly competitive journal published by the Mathematical Association of America. Organically, he has developed expertise in the Mathematics of Sports. While at Stetson, Dr. Miles has mentored more research projects than any other math faculty. He has been nominated several times for the universitys highest teaching award, and he has been chosen to serve on grant panel review committees for the National Science Foundation. With two other authors (Dr. L. Coulter and Dr. T. Vogel), he has also published a Python lab manual for the first semester of Calculus. He considers himself a man of faith with a great love for his wife and daughter, and he truly cares for his students. Details ISBN 3110776456 ISBN-13 9783110776454 Title Numerical Methods with Python Author William Miles Format Paperback Year 2023 Pages 326 Publisher De Gruyter GE_Item_ID:142205734; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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