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Dancing with Python
Dancing with Python

Dancing with Python: Learn to code with Python and Quantum Computing

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Dancing with Python

PART I

Getting to Know Python

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Key benefits

  • Create quantum circuits and algorithms using Qiskit and run them on quantum computing hardware and simulators
  • Learn the Pythonic way to write elegant and efficient code
  • Delve into Python's advanced features, including machine learning, analyzing data, and searching

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.

Who is this book 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.

What you will learn

  • Explore different quantum gates and build quantum circuits with Qiskit and Python
  • Write succinct code the Pythonic way using magic methods, iterators, and generators
  • Analyze data, build basic machine learning models, and plot the results
  • Search for information using the quantum Grover Search Algorithm
  • Optimize and test your code to run efficiently
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 31, 2021
Length: 744 pages
Edition : 1st
Language : English
ISBN-13 : 9781801077859
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Product feature icon Access this title in our online reader with advanced features
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Product feature icon AI Assistant (beta) to help accelerate your learning
Estimated delivery fee Deliver to Greece

Premium delivery 7 - 10 business days

€17.95
(Includes tracking information)

Product Details

Publication date : Aug 31, 2021
Length: 744 pages
Edition : 1st
Language : English
ISBN-13 : 9781801077859
Category :
Languages :

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Frequently bought together


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Total 144.97
Python Object-Oriented Programming
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Dancing with Python
€36.99
Total 144.97 Stars icon

Table of Contents

21 Chapters
Chapter 1: Doing the Things That Coders Do Chevron down icon Chevron up icon
Part I: Getting to Know Python Chevron down icon Chevron up icon
Chapter 2: Working with Expressions Chevron down icon Chevron up icon
Chapter 3: Collecting Things Together Chevron down icon Chevron up icon
Chapter 4: Stringing You Along Chevron down icon Chevron up icon
Chapter 5: Computing and Calculating Chevron down icon Chevron up icon
Chapter 6: Defining and Using Functions Chevron down icon Chevron up icon
Chapter 7: Organizing Objects into Classes Chevron down icon Chevron up icon
Chapter 8: Working with Files Chevron down icon Chevron up icon
PART II: Algorithms and Circuits Chevron down icon Chevron up icon
Chapter 9: Understanding Gates and Circuits Chevron down icon Chevron up icon
Chapter 10: Optimizing and Testing Your Code Chevron down icon Chevron up icon
Chapter 11: Searching for the Quantum Improvement Chevron down icon Chevron up icon
PART III: Advanced Features and Libraries Chevron down icon Chevron up icon
Chapter 12: Searching and Changing Text Chevron down icon Chevron up icon
Chapter 13: Creating Plots and Charts Chevron down icon Chevron up icon
Chapter 14: Analyzing Data Chevron down icon Chevron up icon
Chapter 15: Learning, Briefly Chevron down icon Chevron up icon
References Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

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venkatesh Nov 01, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have picked up the book a few days ago for learning python for practicing quantum computing. The author has explained all the concepts clearly for anyone to understand and so far this book has exceeded my expectations.
Amazon Verified review Amazon
Stephen J Cook Oct 23, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I don't know Python and last wrote code at college in the late 1980s. I don't know Quantum but I do know it is going to change the world very soon. I picked up the book this evening and have read Chapter 1, while also watching a movie. I understood every word I read. Rob has made this really plain English, using relatable examples. Very pleasantly surprised.
Amazon Verified review Amazon
Dr Barry Henderson Oct 24, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This review is based only on a high level reading of the free Kindle material, but i will write a full review after i get a copy of this rather unique book, which will be soon! I like the approach the author has taken. Robert introduces complicated theories and principles using every day terms and scenarios, such as comparing cooking a meal to how a program works in easy to follow steps.The author first introduces the reader to all the main features of Python in a gradual, methodical way. Basis types and operations; File I/O; Object Oriented Classes and programming; functions; Exceptions; and the ubiquitous Python Libraries. There is also a chapter on Testing your code which bodes well for improving the quality of a design.The author then moves onto describing the basics of Quantum computing linking this to the QisKit Open Source Quantum toolkit. QisKit uses Python 3.6+ and can be run on Jupyter Notebooks. There is some basic theory on how this type of computing may be implemented and the results observed using Python (employing Pandas DataFrames and the Python plotting libraries). Later chapters briefly explain Natural Language processing, AI, ML.All in all this looks to be an interesting and comprehensive introduction to both Python programming and Quantum Computing.
Amazon Verified review Amazon
Christophe Pere Nov 01, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Hi,I was contacted by Packt to review the book Dancing With Python. I’m not linked with the editor, the review is mine.Review:The first part (~330 pages) is about python. It’s hard to compete on this part due to all the materials available on the market. Hundreds of books are published on python. Why this one is different? Clean, clear, precise, and visual.I like the way the author presents things with snippets and graphs.The first part covers all that is needed in scientific computation with python. You’ll also find some references with Dancing With Qubits the previous book of the author.I also appreciate that there are chapters on comments and documentation because, most of the time, both are the weak part of the development phase. It’s good to see this in a book.The second part has a focus on quantum computing but with a python way. You’ll find tons of information on how to use gates with Qiskit and python, also how to use real devices (IBM quantum).How about quantum algorithms? As previously, the author provides good descriptions of different algorithms and a good visual to understand how they worked.Surprisingly, the third part is the use of python to manipulate objects like: string manipulations (regular expressions, NLP etc…). Charts and plots. Analysis. and Machine Learning.Why is surprising? It’s because, for me, this breaks the flow. We study how to use python in classical way, the different core components and how to use them in a developer fashion. We then pass to Quantum computing to see how python is used with IBM quantum. And, we return to the classical way to study different functionalities. For me, part II and part III should have been reversed so that the information flow is more fluid.Global:It’s a very excellent book, Robert Sutor has a real gift for explaining things in a simple, precise way with fun and visual applications. Highly recommended for beginners.
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Trebor Oct 30, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you're interested in programming machine learning, big data, quantum computing or any project that requires large complex computations, then you will most likely need to develop your work using Python. This book is written for all developers, whether you are new to Python or have years of Python programming experience. Dr. Sutor provides an excellent learning path from beginner to advanced while providing great examples. So if you are a student learning Python as part of your course, a professor looking for a textbook, or a self-study individual looking to expand your experience, then this book is definitely one for your shelf! Particularly if your goal is to continue on to learn how to program on a quantum computer.
Amazon Verified review Amazon
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