Search results for "python arithmetic"
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![Elementary Arithmetic. [With] Answers...](//exclusivebooks.co.za/cdn/shop/t/39/assets/placeholder-pixel_small.png?v=33125877389226915141771159651)

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Python Data Science Handbook
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you'll learn how:IPython and Jupyter provide computational environments for scientists using PythonNumPy includes the ndarray for efficient storage and manipulation of dense data arraysPandas contains the DataFrame for efficient storage and manipulation of labeled/columnar dataMatplotlib includes capabilities for a flexible range of data visualizationsScikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms
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Python Experiments in Physics and Astronomy
Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs. The book also provides Python solutions that can be learned from and modified as needed. The book is mainly aimed at undergraduates, but since many science students and faculty have limited exposure to scientific programming, having a collection of examples that address curve-fitting, Fast Fourier Transforms, image photometry and image alignment, and many others could be very helpful not just for learning from, but also to support classroom projects and demonstrations.Key Features:Features tutorials using Python for non-computer science students and faculty involved with scientific programmingContains complete scientific programming examples for teaching and academic projectsPresents detailed Python solutions for Physics and Astronomy topics, not normally covered in depth, because they would be too time-consumingPurchasers of the book can access the accompanying computer code via the Instructor Resources Download Hub.
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Maths All Around You: Calculations
Maths is all around you, it can be seen everywhere in nature and in the human-made world. In Sums, simple artworks illustrate each concept to help visual learners get to grips with mathematical concepts and to encourage children to open their minds to how maths plays an important part of the buildings we live in, the games we play and the ways we live our lives.This series is designed for readers aged 7 to complement the content of traditional maths textbooks. Readers are also encouraged to have a go at some simple maths exercises, putting into practice what they have learned. Written in consultation with a specialist former maths publisher.The six titles in this series are:FractionsMeasurementsNumbersShapesStatisticsSumsSums
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Guide to Distributed Algorithms
The study of distributed algorithms provides the needed background in many real-life applications, such as: distributed real-time systems, wireless sensor networks, mobile ad hoc networks and distributed databases.The main goal of Guide to Distributed Algorithms is to provide a detailed study of the design and analysis methods of distributed algorithms and to supply the implementations of most of the presented algorithms in Python language, which is the unique feature of the book not found in any other contemporary books on distributed computing.Topics and features:Presents comprehensive design methods for distributed algorithmsProvides detailed analysis for the algorithms presentedUses graph templates to demonstrate the working of algorithmsProvides working Python code for most of the algorithms presentedThis unique textbook/study manual can serve as a comprehensive manual of distributed algorithms for Computer Science and non-CS majors as well as practitioners of distributed algorithms in research projects.
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Bioinformatics Algorithms
Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming language and its algorithms, which is quickly becoming the most popular language in the bioinformatics field. Readers will find the tools they need to improve their knowledge and skills with regard to algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications.
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Dancing with Python
Develop skills in Python and Quantum Computing by implementing exciting algorithms, mathematical functions, classical searching, data analysis, plotting data, machine learning techniques, and quantum circuits.Key FeaturesCreate quantum circuits and algorithms using Qiskit and run them on quantum computing hardware and simulatorsLearn the Pythonic way to write elegant and efficient codeDelve into Python's advanced features, including machine learning, analyzing data, and searchingBook DescriptionDancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files.The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning.By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way.What you will learnExplore different quantum gates and build quantum circuits with Qiskit and PythonWrite succinct code the Pythonic way using magic methods, iterators, and generatorsAnalyze data, build basic machine learning models, and plot the resultsSearch for information using the quantum Grover Search AlgorithmOptimize and test your code to run efficientlyWho this book is forThe book will help you get started with coding for Python and Quantum Computing. Basic familiarity with algebra, geometry, trigonometry, and logarithms is required as the book does not cover the detailed mathematics and theory of quantum computing. You can check out the author’s Dancing with Qubits book, also published by Packt, for an approachable and comprehensive introduction to quantum computing.
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![Campbell's Canadian Arithmetic in Decimal Currency, or, The First Book of Arithmetic Superseded [microform]](//exclusivebooks.co.za/cdn/shop/t/39/assets/placeholder-pixel_small.png?v=33125877389226915141771159651)

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11+ Essentials Mathematics: Mental Arithmetic Book 2
Fundamental mathematical skills are at the heart of 11 plus and common entrance exams. Mathematical questions at 11 plus are typically a combination of worded problems, requiring comprehension and mathematical manipulation of data, and quick-fire numerical questions, testing a child s raw mathematical ability. This collection of tests is designed to expose a child to both types of question. The questions provided within this book are intended to develop the fundamental building blocks of mathematics to equip a child with the skills required to sit the numerical reasoning sections of the 11 plus and common entrance exams. The suggested time for each paper is based on data obtained from conventional classroom testing sessions. Students requiring publications that address the numerical reasoning sections of 11 plus will also benefit from the 11+ Essentials Numerical Reasoning Multi-part Book 1 and Book 2, and Numerical Reasoning Quick-fire Book 1 and 2. These books contain practice papers that are representative of the exams set by both independent and public schools and are best used as real exam practice. Extensively road-tested by Eleven Plus Exams, all 11+ Essentials tests are best used to benchmark a child's performance. The online service helps to identify areas for improvement and, crucially, to gauge relative progress. They are perfect for use both in the classroom and at home.
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