Dancing With Python
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Dancing With Python
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Author : Robert S. Sutor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-08-31
Dancing With Python written by Robert S. Sutor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Computers categories.
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 Description Dancing 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 for The 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.
Dancing With Python
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Author : Robert S. Sutor
language : en
Publisher:
Release Date : 2021-08-31
Dancing With Python written by Robert S. Sutor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with categories.
Develop skills in Python by implementing exciting algorithms, including mathematical functions, classical searching, data analysis, plotting data, machine learning techniques, and quantum circuits Key Features: Learn Python basics to write elegant and efficient code Create quantum circuits and algorithms using Qiskit and run them on quantum computing hardware and simulators Delve into Python's advanced features, including machine learning, analyzing data, and searching Book Description: Coding is the art and engineering of creating software, and Python has been one of the core coding languages for many years. This introductory Python book helps you learn classical and quantum computing in a unified and practical way. It will help you explore 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 classical 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 classical coding and programming the latest and most powerful quantum computers. What You Will Learn: Create Python code using numbers, strings, collections, classes, objects, functions, conditionals, loops, and operators Write succinct code the Pythonic way using magic methods, iterators, and generators Explore different quantum gates and use them to build quantum circuits Analyze data, build basic machine learning models and plot the results Search for information using traditional methods and the quantum Grover Search Algorithm Optimize and test your code to run efficiently Who this book is for: The book is for Python and coding beginners. 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.
Dancing With Qubits
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Author : Robert S. Sutor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-28
Dancing With Qubits written by Robert S. Sutor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Computers categories.
Explore the principles and practicalities of quantum computing Key Features Discover how quantum computing works and delve into the math behind it with this quantum computing textbook Learn how it may become the most important new computer technology of the century Explore the inner workings of quantum computing technology to quickly process complex cloud data and solve problems Book DescriptionQuantum computing is making us change the way we think about computers. Quantum bits, a.k.a. qubits, can make it possible to solve problems that would otherwise be intractable with current computing technology. Dancing with Qubits is a quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. From there it moves on to a fuller description of classical computing and the mathematical underpinnings necessary to understand such concepts as superposition, entanglement, and interference. Next up is circuits and algorithms, both basic and more sophisticated. It then nicely moves on to provide a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments will affect you. Really understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is introduced and explained thoroughly, in clear English with helpful examples.What you will learn See how quantum computing works, delve into the math behind it, what makes it different, and why it is so powerful with this quantum computing textbook Discover the complex, mind-bending mechanics that underpin quantum systems Understand the necessary concepts behind classical and quantum computing Refresh and extend your grasp of essential mathematics, computing, and quantum theory Explore the main applications of quantum computing to the fields of scientific computing, AI, and elsewhere Examine a detailed overview of qubits, quantum circuits, and quantum algorithm Who this book is for Dancing with Qubits is a quantum computing textbook for those who want to deeply explore the inner workings of quantum computing. This entails some sophisticated mathematical exposition and is therefore best suited for those with a healthy interest in mathematics, physics, engineering, and computer science.
Competitive Programming In Python
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Author : Christoph Dürr
language : en
Publisher: Cambridge University Press
Release Date : 2020-12-17
Competitive Programming In Python written by Christoph Dürr and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-17 with Computers categories.
All the algorithms, proofs, and implementations in Python you need to know for tech job interviews and coding competitions.
Learn Quantum Computing With Python And Ibm Quantum Experience
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Author : Robert Loredo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-09-28
Learn Quantum Computing With Python And Ibm Quantum Experience written by Robert Loredo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-28 with Computers categories.
A step-by-step guide to learning the implementation and associated methodologies in quantum computing with the help of the IBM Quantum Experience, Qiskit, and Python that will have you up and running and productive in no time Key FeaturesDetermine the difference between classical computers and quantum computersUnderstand the quantum computational principles such as superposition and entanglement and how they are leveraged on IBM Quantum Experience systemsRun your own quantum experiments and applications by integrating with QiskitBook Description IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM's quantum processors. You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you'll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you'll not only learn the differences between the various quantum computers but also the various simulators available. Later, you'll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience. By the end of this book, you'll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business. What you will learnExplore quantum computational principles such as superposition and quantum entanglementBecome familiar with the contents and layout of the IBM Quantum ExperienceUnderstand quantum gates and how they operate on qubitsDiscover the quantum information science kit and its elements such as Terra and AerGet to grips with quantum algorithms such as Bell State, Deutsch-Jozsa, Grover's algorithm, and Shor's algorithmHow to create and visualize a quantum circuitWho this book is for This book is for Python developers who are looking to learn quantum computing and put their knowledge to use in practical situations with the help of IBM Quantum Experience. Some background in computer science and high-school-level physics and math is required.
Python For Data Analysis
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Author : Wes McKinney
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-09-25
Python For Data Analysis written by Wes McKinney and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-25 with Computers categories.
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
Text Analytics With Python
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Author : Dipanjan Sarkar
language : en
Publisher: Apress
Release Date : 2016-11-30
Text Analytics With Python written by Dipanjan Sarkar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Computers categories.
Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data
Monkey Dancing
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Author : Daniel Glick
language : en
Publisher: PublicAffairs
Release Date : 2004-06-16
Monkey Dancing written by Daniel Glick and has been published by PublicAffairs this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-16 with Biography & Autobiography categories.
After losing his brother to cancer and a painful divorce that left him the sole charge d'affaires of two decidedly spirited children, environmental reporter Daniel Glick knew he and his little family desperately needed some karmic rejuvenation. He opted for an epic adventure. In the summer of 2001, Dan, Zoe, and Kolya packed up and set off on a six-month tour to see the world's most exotic and endangered habitats. Monkey Dancing takes readers along for this incredible journey. From the python-infested rivers of Borneo to the highest summits of Bali, from Nepal's Gangeatic Plains to Australia's Great Barrier Reef, Glick recounts the adventures they met with, the challenges they confronted, and how they learned to cope with grief, loss, and one another. Along the way, he offers intimate reflection on life, fatherhood, change, and the fragile health of our troubled planet. Acclaimed by reviewers, a BookSense Parenting bestseller, Monkey Dancing is a "poignant, affirming, ultimately courageous book"—Audubon Magazine.
Dancing Barefoot
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Author : Wil Wheaton
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2004
Dancing Barefoot written by Wil Wheaton and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Biography & Autobiography categories.
Wil Wheaton--blogger, geek, and Star Trek: The Next Generation's Wesley Crusher--gives us five short-but-true tales of life in the so-called Space Age in Dancing Barefoot. With a true geek's unflinching honesty, Wil examines life, love, the web, and the absurdities of Hollywood in these compelling autobiographical narratives. Based on pieces first published in Wil's hugely popular blog, www.wilwheaton.net, the stories in Dancing Barefoot chronicle a teen TV star's journey to maturity and self-acceptance. Far from the usual celebrity tell-all, Dancing Barefoot is a vivid account of one man's version of that universal story, the search for self. If you've ever fallen in love, wondered what goes on behind the scenes at a Star Trek convention, or thought hard about the meaning of life, you'll find a kindred soul in the pages of Dancing Barefoot. In the process of uncovering his true geeky self, Wil Wheaton speaks to the inner geek in all of us. The stories: Houses in Motion - Memories fill the emptiness left within a childhood home, and saying goodbye brings them to life. Ready Or Not Here I Come - A game of hide-n-seek with the kids works as a time machine, taking Wil on a tour of the hiding and seeking of years gone by. Inferno - Two 15-year-olds pass in the night leaving behind pleasant memories and a perfumed Car Wars Deluxe Edition Box Set. We Close Our Eyes - A few beautiful moments spent dancing in the rain. The Saga of SpongeBob VegasPants - A story of love, hate, laughter and the acceptance of all things Trek.
Introducing Python
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Author : Bill Lubanovic
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-11-06
Introducing Python written by Bill Lubanovic and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-06 with Computers categories.
Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.