Dancing With Python

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Dancing with Python

Author : Robert S. Sutor
Publisher :
ISBN 13 : 9781801077859
Total Pages : 744 pages
Book Rating : 4.0/5 (778 download)

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Book Synopsis Dancing with Python by : Robert S. Sutor

Download or read book Dancing with Python written by Robert S. Sutor and published by . This book was released on 2021-08-31 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Python

Author : Robert S. Sutor
Publisher : Packt Publishing Ltd
ISBN 13 : 1801071624
Total Pages : 745 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Dancing with Python by : Robert S. Sutor

Download or read book Dancing with Python written by Robert S. Sutor and published by Packt Publishing Ltd. This book was released on 2021-08-31 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Qubits

Author : Robert S. Sutor
Publisher : Packt Publishing Ltd
ISBN 13 : 1838825258
Total Pages : 515 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Dancing with Qubits by : Robert S. Sutor

Download or read book Dancing with Qubits written by Robert S. Sutor and published by Packt Publishing Ltd. This book was released on 2019-11-28 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Description Quantum 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

Author : Christoph Dürr
Publisher : Cambridge University Press
ISBN 13 : 1108658431
Total Pages : 265 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Competitive Programming in Python by : Christoph Dürr

Download or read book Competitive Programming in Python written by Christoph Dürr and published by Cambridge University Press. This book was released on 2020-12-17 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book and on the companion website.

Learn Quantum Computing with Python and IBM Quantum Experience

Author : Robert Loredo
Publisher : Packt Publishing Ltd
ISBN 13 : 1838986758
Total Pages : 510 pages
Book Rating : 4.8/5 (389 download)

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Book Synopsis Learn Quantum Computing with Python and IBM Quantum Experience by : Robert Loredo

Download or read book Learn Quantum Computing with Python and IBM Quantum Experience written by Robert Loredo and published by Packt Publishing Ltd. This book was released on 2020-09-28 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Monkey Dancing

Author : Daniel Glick
Publisher : PublicAffairs
ISBN 13 : 9781586482374
Total Pages : 0 pages
Book Rating : 4.4/5 (823 download)

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Book Synopsis Monkey Dancing by : Daniel Glick

Download or read book Monkey Dancing written by Daniel Glick and published by PublicAffairs. This book was released on 2004-06-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

All the Impossible Things

Author : Lindsay Lackey
Publisher : Roaring Brook Press
ISBN 13 : 125020285X
Total Pages : 288 pages
Book Rating : 4.2/5 (52 download)

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Book Synopsis All the Impossible Things by : Lindsay Lackey

Download or read book All the Impossible Things written by Lindsay Lackey and published by Roaring Brook Press. This book was released on 2019-09-03 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bit of magic, a sprinkling of adventure, and a whole lot of heart collide in All the Impossible Things, Lindsay Lackey's extraordinary middle-grade novel about a young girl navigating the foster care system in search of where she belongs. "Wise and wondrous, this is truly a novel to cherish.” —Katherine Applegate, New York Times–bestselling author of Wishtree An Indies Introduce Selection Red’s inexplicable power over the wind comes from her mother. Whenever Ruby “Red” Byrd is scared or angry, the wind picks up. And being placed in foster care, moving from family to family, tends to keep her skies stormy. Red knows she has to learn to control it, but can’t figure out how. This time, the wind blows Red into the home of the Grooves, a quirky couple who run a petting zoo, complete with a dancing donkey and a giant tortoise. With their own curious gifts, Celine and Jackson Groove seem to fit like a puzzle piece into Red’s heart. But just when Red starts to settle into her new life, a fresh storm rolls in, one she knows all too well: her mother. For so long, Red has longed to have her mom back in her life, and she’s quickly swept up in the vortex of her mother’s chaos. Now Red must discover the possible in the impossible if she wants to overcome her own tornadoes and find the family she needs.

Dancing Barefoot

Author : Wil Wheaton
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596006748
Total Pages : 117 pages
Book Rating : 4.5/5 (96 download)

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Book Synopsis Dancing Barefoot by : Wil Wheaton

Download or read book Dancing Barefoot written by Wil Wheaton and published by "O'Reilly Media, Inc.". This book was released on 2004 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Python for Data Analysis

Author : Wes McKinney
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491957611
Total Pages : 676 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Python for Data Analysis by : Wes McKinney

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Clean Code in Python

Author : Mariano Anaya
Publisher : Packt Publishing Ltd
ISBN 13 : 1800562098
Total Pages : 423 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Clean Code in Python by : Mariano Anaya

Download or read book Clean Code in Python written by Mariano Anaya and published by Packt Publishing Ltd. This book was released on 2021-01-06 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tackle inefficiencies and errors the Pythonic way Key Features Enhance your coding skills using the new features introduced in Python 3.9 Implement the refactoring techniques and SOLID principles in Python Apply microservices to your legacy systems by implementing practical techniques Book Description Experienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code. With updated code and revised content aligned to the new features of Python 3.9, this second edition of Clean Code in Python will provide you with all the tools you need to overcome these obstacles and manage your projects successfully. The book begins by describing the basic elements of writing clean code and how it plays a key role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. The book discusses object-oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve problems by implementing software design patterns in your code. In the concluding chapter, we break down a monolithic application into a microservices-based one starting from the code as the basis for a solid platform. By the end of this clean code book, you will be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world Python code. What you will learn Set up a productive development environment by leveraging automatic tools Leverage the magic methods in Python to write better code, abstracting complexity away and encapsulating details Create advanced object-oriented designs using unique features of Python, such as descriptors Eliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented design Create Python-specific solutions using decorators and descriptors Refactor code effectively with the help of unit tests Build the foundations for solid architecture with a clean code base as its cornerstone Who this book is for This book is designed to benefit new as well as experienced programmers. It will appeal to team leads, software architects and senior software engineers who would like to write Pythonic code to save on costs and improve efficiency. The book assumes that you have a strong understanding of programming

Deep Learning with Python

Author : Francois Chollet
Publisher : Simon and Schuster
ISBN 13 : 1638352046
Total Pages : 597 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Deep Learning with Python by : Francois Chollet

Download or read book Deep Learning with Python written by Francois Chollet and published by Simon and Schuster. This book was released on 2017-11-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance

A Time to Dance, a Time to Die

Author : John Waller
Publisher : Icon Books Company
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis A Time to Dance, a Time to Die by : John Waller

Download or read book A Time to Dance, a Time to Die written by John Waller and published by Icon Books Company. This book was released on 2008 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In July 1518 a terrifying and mysterious plague struck the medieval city of Strasbourg. Hundreds of men and women danced wildly, day after day, in the punishing summer heat. Their feet blistered and bled, and their limbs ached with fatigue, but they simply could not stop. Throughout August and early September more and more were seized by the same terrible compulsion." "By the time the epidemic subsided, heat and exhaustion had claimed an untold number of lives, leaving thousands bewildered and bereaved, and an enduring enigma for future generations." "This book explains why Strasbourg's dancing plague took place. In doing so, it leads us into a largely vanished world, evoking the sights, sounds, aromas, diseases and hardships, the fervent supernaturalism and the desperate hedonism of the late-medieval world." "At the same time, it offers insights into how people behave when driven beyond the limits of endurance. Not only a historical detective story, A Time to Dance, A Time to Die is also an exploration of the strangest capabilities of the human mind and the extremes to which fear and irrationality can lead us."--BOOK JACKET.

Purple Python

Author : Scarlet Risque
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781985140561
Total Pages : 198 pages
Book Rating : 4.1/5 (45 download)

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Book Synopsis Purple Python by : Scarlet Risque

Download or read book Purple Python written by Scarlet Risque and published by Createspace Independent Publishing Platform. This book was released on 2018-05-30 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: A BEAUTIFUL UNDERCOVER AGENT, Jessica, codename Purple Python, is sent to Singapore under the White Queen's orders to prevent the expansion plans of Wilmar Enterprises in Asia. Jessica identifies the chief financial officer of an equity fund, Garrett, as her key target. Garrett is interested in investing in Wilmar's Asia Fund, and Jessica is tasked with derailing his plans. As Jessica works on getting close to Garrett, she finds herself becoming interested in Garrett. Jessica engages in an internal tug-of-war as her feelings for Garrett deepen and she begins to question her loyalties. Will she betray the woman who saved her from the streets, or will she sacrifice her chance at a soul mate? Purple Python is a standalone full-length novel in the HOURGLASS series of corporate espionage undercover femme fatale agents. The series explores finding one's identity in the backdrop of capitalism with dominance and submission themes, romance, love, and betrayal entwined with undercover spies on a mission to serve the greater good.

Dive Into Python

Author : Mark Pilgrim
Publisher : Apress
ISBN 13 : 1430207000
Total Pages : 419 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Dive Into Python by : Mark Pilgrim

Download or read book Dive Into Python written by Mark Pilgrim and published by Apress. This book was released on 2004-07-12 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Quick start to learning python—very example oriented approach * Book has its own Web site established by the author: http://diveintopython.org/ Author is well known in the Open Source community and the book has a unique quick approach to learning an object oriented language.

Python Programming

Author : Adam Bash
Publisher : Charlie Creative Lab
ISBN 13 : 9781801135672
Total Pages : 202 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Python Programming by : Adam Bash

Download or read book Python Programming written by Adam Bash and published by Charlie Creative Lab. This book was released on 2020-10-28 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you been seriously thinking about digging into programming but don't know where to start? Are you looking for a quick boost to your career growth? In this Python programming crash course, you will be guided by a quick and thorough introduction intended solely for beginners who want to understand Python programming and learn how to write helpful programs.The book is aimed at getting you fast enough to accelerate and get you to write real programs in no moment. This book is also designed for programmers who have a vague language understanding and would like to brush up their knowledge before trying to program their Python hands-on. The aim of this ultimate guide is to keep each section's thoughts and provide step-by-step guidance to make the learning experience smooth and gradual.It will also address how any future frustration can be reduced. Each code unit is tested, executed and re-read closely. In addition, the INTERACTIVE exercises are optimized for the highest level of commitment, meaning you're not going to get bored to death. Here is what you will find in this book on Pythons for Beginners: A History of Python and the basic concepts of Python ProgrammingHow to prepare your computer for programming in Python and how to install Python on Windows, Mac, and Linux. Screenshots included.Python functions that you'll use often.How to work with various data types including strings, lists, tuples, dictionaries, booleans, and many more.How to begin creating the Command Line Search Tool and make programs with Python SocketsAnd much more... After reading this book, you will realize that Python Programming is not difficult at all and you don't need to be rocket scientist to learn it.This revised and thoroughly tested Python guide will get you up to speed and quickly get you to write true programs. So, what are you waiting for? Scroll Down and Click the buy NOW button!

Programming Collective Intelligence

Author : Toby Segaran
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596550685
Total Pages : 361 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Programming Collective Intelligence by : Toby Segaran

Download or read book Programming Collective Intelligence written by Toby Segaran and published by "O'Reilly Media, Inc.". This book was released on 2007-08-16 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect

Introducing Python

Author : Bill Lubanovic
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492051322
Total Pages : 630 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Introducing Python by : Bill Lubanovic

Download or read book Introducing Python written by Bill Lubanovic and published by "O'Reilly Media, Inc.". This book was released on 2019-11-06 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.