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Python: End-to-end Data Analysis

You're reading from   Python: End-to-end Data Analysis Leverage the power of Python to clean, scrape, analyze, and visualize your data

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Product type Course
Published in May 2017
Publisher Packt
ISBN-13 9781788394697
Length 931 pages
Edition 1st Edition
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Authors (5):
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Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
Ivan Idris Ivan Idris
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Ivan Idris
Phuong Vo.T.H Phuong Vo.T.H
Author Profile Icon Phuong Vo.T.H
Phuong Vo.T.H
Martin Czygan Martin Czygan
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Martin Czygan
Magnus Vilhelm Persson Magnus Vilhelm Persson
Author Profile Icon Magnus Vilhelm Persson
Magnus Vilhelm Persson
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Toc

Appendix E. More on Jupyter Notebook and matplotlib Styles

In this appendix, we will cover several things that will help you when doing data analysis in Jupyter Notebook and compiling reports. This appendix covers the following topics:

  • General Jupyter Notebook tips and tricks:
    • Useful keyboard shortcuts to speed up your workflow
    • A short introduction to the Markdown syntax to edit text cells
    • A few other useful tips
  • Jupyter Notebook extensions
  • Matplotlib styles for pretty plotting from the start
  • Useful resources such as data repositories, Python packages, and similar

The various tips and tricks are not crucial for data analysis in Python, but it is very useful to make the workflow better and easier to pick up right where you left off in a project. Let's jump right in and start off by looking closer at some good things about Jupyter Notebook.

Jupyter Notebook

Jupyter Notebook is an interactive web application that sends/receives data from a programming language kernel. In this book, we...

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