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Dancing with Python

Dancing with Python

By : Robert S. Sutor
5 (7)
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Dancing with Python

Dancing with Python

5 (7)
By: Robert S. Sutor

Overview of this book

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.
Table of Contents (29 chapters)
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2
Part I: Getting to Know Python
10
PART II: Algorithms and Circuits
14
PART III: Advanced Features and Libraries
19
References
20
Other Books You May Enjoy
Appendices
Appendix C: The Complete UniPoly Class
Appendix D: The Complete Guitar Class Hierarchy
Appendix F: Production Notes

A.9 Jupyter notebooks

Jupyter is a browser-based interactive environment mainly written in Python. While you can use it to edit and run Python immediately, it also supports other installable runtime environments called kernels and is widely used by data scientists. Developers have written over one hundred kernels and these support languages like R, Scala, Go, Java, Ruby, Rust, and even Fortran. [JUP]

Jupyter creates notebooks, which are combinations of text, images, code, and code execution results. A notebook is persistent, which means that you can save it and restart it later. By default, Jupyter uses the Markdown description language for formatting text.

Install and start Jupyter from the command line:

pip install jupyter
jupyter notebook

You may get a windowed prompt asking you which browser you would like to use. Pick one, and in the upper right-hand corner, click “New”...

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