Table of Contents

Jupyter references

Books

  1. Doug Hudgeon, Richard Nichol: Machine Learning for Business: Using Amazon SageMaker and Jupyter. 2020
  2. Marc Wintjen: Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting useful and actionable insights using Python. 2020
  3. Thorsten Gressling: Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter. 2020
  4. Alex Galea: Applied Data Science with Python and Jupyter. 2018
  5. Cyrille Rossant: IPython Interactive Computing and Visualization Cookbook : Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook. 2 ed, 2018
  6. David Taieb: Expert Insight Thoughtful Data Science: A Programmer’s Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust. 2018
  7. Dan Toomey: Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more. 2018
  8. Dan Toomey: Learning Jupyter 5. 2018

WWW

  1. xeus-python is a Jupyter kernel for Python
notes/bib/jupyter.txt · Last modified: 2021/03/11 05:14 by vlado
 
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