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Fisher G: Beading With Algorithms:
Cellular Automata In Peyote Stitch

Beading With Algorithms: Cellular Automata In Peyote Stitch

You Don't Know What You're Missing

From the author of the award-winning Which One Doesn't Belong? and How Many? comes How Did You Count?, the latest title in Christopher Danielson's collection that is sure to spark conversation, questioning and wondering amongst both younger and older students alike.

Picture Book

How Did You Count?

Cambridge Mathematical Textbooks

Bridging Theory and Applications with Python

Mathematical Methods in Data Science

This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis. Even with no programming experience, The Book of R, 2nd Edition will teach everything you need to know to use R effectively in statistical analysis and data visualization. Readers will start with the basics, like how to handle data and write simple programs, before learning more advanced topics, like producing statistical models or creating 3D visualizations. More than 30 hands-on exercises (with downloadable solutions) take readers from theory to practice. The second edition has been updated from start to finish, with new content on statistical operations, data plots, date-time objects, and more — including dozens of fresh exercises.

A First Course in Programming and Statistics

The Book of R, 2nd Edition

The Times Su Doku

Challenge your brain with these enjoyable puzzlesThe latest book in The Times Fiendish Su Doku series - previously unpublished quality Su Doku puzzles. Includes 180 Fiendish and 20 Super Fiendish puzzles.

200 Challenging Su Doku Puzzles

The Times Fiendish Su Doku Book 18

Problem Solving in Mathematics and Beyond

"Our physical world is embedded in a geometric environment. Plane geometry has many amazing wonders beyond those that are briefly touched on in school curriculums. The triangle, one of the basic instruments in geometry, has a plethora of unexpected curiosities. Geometric Gems presents one of the largest collections of triangle curiosities currently available, which the authors discuss in an easily understood fashion, requiring nothing more of readers other than the very basics of school geometry to appreciate these curiosities and their justifications or proofs. The book is intended to be widely appreciated by a general audience, and their love for geometry should be greatly enhanced through exploring these many unexpected relationships in geometry. Geometric Gems is also suitable for mathematics teachers, to enhance the education of their students with these highly motivating triangle properties"--

Geometric Gems: An Appreciation For Geometric Curiosities - Volume Ii: The Wonders Of Quadrilaterals

5-Pack of Softcover Picture Book

The Times Fiendish Su Doku Book 19

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis--from wrangling data and generating statistics to identifying patterns and testing hypotheses. Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas. You'll explore distributions, relationships between variables, visualization, and many other concepts. And all chapters are available as Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place. <ul> <li>Analyze data distributions and visualize patterns using Python libraries</li> <li>Improve predictions and insights with regression models</li> <li>Dive into specialized topics like time series analysis and survival analysis</li> <li>Integrate statistical techniques and tools for validation, inference, and more</li> <li>Communicate findings with effective data visualization</li> <li>Troubleshoot common data analysis challenges</li> <li>Boost reproducibility and collaboration in data analysis projects with interactive notebooks</li> </ul>

Exploratory Data Analysis

Think STATS

Chapman & Hall/CRC The R Series

Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The second edition features numerous updates, including the adoption of the high-performance terra package for all raster data processing.

Geocomputation with R

Learning Geometry Through Problem Solving

Challenge your brain with these enjoyable puzzlesSpecially compiled to provide the most deadly Su Doku challenge, this is the only volume for Su Doku enthusiasts who need a puzzle that really tests their mettle.

200 of the Deadliest Su Doku Puzzles

The Times Ultimate Killer Su Doku Book 17

Beading With Algorithms: Cellular Automata In Peyote Stitch

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