The Computer Book: From the Abacus to Artificial Intelligence, 250 Milestones in the History of Computer Science (Sterling Milestones)

Price: (as of – Details) “What a delight! A fast trip through the computing landscape in the company of friendly tour guides who know the history. I enjoyed the views and learned a lot!” —Harry Lewis, Gordon McKay Professor of Computer Science, Harvard University

Baby University Board Book Set: Four Science Board Books for Babies (Baby University Board Book Sets)

Price: (as of – Details) Chris Ferrie is an award-winning physicist and Senior Lecturer for Quantum Software and Information at the University of Technology Sydney. He has a Masters in Applied Mathematics, BMath in Mathematical Physics and a PhD in Applied Mathematics. He lives in Australia with his wife and children.

Baby Loves Coding! (Baby Loves Science)

Price: (as of – Details) A baby with big eyes, dressed as an engineer, plays with a colorful toy train set. When Baby sees that the red car is missing from the track and spies it in the toy box, she takes “Three steps to the right, three steps forward, and three steps to the left. Then baby takes three steps all by herself.” Each time Baby walks to the toy box, Spiro explains, it’s the same pattern—and that pattern is called an algorithm. The train, specifically the tiny computer in its engine, also follows an algorithm, this one created

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Baby Loves Science Board Boxed Set

Price: (as of – Details) Ruth Spiro is the author of the Baby Loves Science series, published by Charlesbridge. These adorably illustrated board books contain expert-reviewed science, yet are simple enough for the very youngest readers. Another new picture book series, Made by Maxine, will be published by Penguin/Dial beginning in 2018. Her debut picture book, Lester Fizz, Bubble-Gum Artist (Dutton), won awards from Writer’s Digest and Willamette Writers and was a Bank Street College of Education Best Book of the Year. Ruth is a frequent speaker at schools and conferences, and recent presentations include the Early Childhood STEM Conference at CalTech and

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Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations

Price: (as of – Details) “We strongly recommend this book to anyone involved in a digital transformation for solid guidance about what works, what doesn’t work, and what doesn’t matter.” (Tom & Mary Poppendieck, Authors of the Lean Software Development Series) “A must read! In a sea of books about technology approaches, Accelerate stands out in its clarity and practicality.” (Karen Martin, Author, Clarity First and The Outstanding Organization) “Excellent! As well as conclusively showing that DevOps outcomes are faster, cheaper AND safer, this book is an excellent case study for robust survey design and analysis.” (Adrian Cockroft) “This is

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What Are the Programming Languages Required for Data Science?

Since the advancement of Data Science is capturing more popularity. Job opportunities in this field are more. Therefore, in order to gain knowledge and become a professional worker, you need to have a brief idea about at least one of these languages that is required in Data Science. PYTHON Python is a general purpose, multiparadigm and one of the most popular languages. It is simple, easy- to-learn and widely used by the data scientists. Python has a huge number of libraries which is its biggest strength and can help us perform multiple tasks like image processing, web development, data mining,

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Programming Languages of Data Science

Data Science is a study of analyzing data in different aspects. In several cases of consideration of data analysis, there is a general abstract framework that describes a basic structure on how data has to be designed. For example, in the generation of music notes, there’s a certain criterion like using only particular music notes for the respective tunes. Describing data analysis is a difficult conundrum. Developing a framework involves considering the elements of the data and implementing it using programming language. Why should we use programming languages for data analysis? As we know, data is used in many streams

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