July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Further reading
The following are some resources that you can use to become more familiar with Jupyter:
- Jupyter Notebook Basics: https://nbviewer.jupyter.org/github/jupyter/notebook/blob/master/docs/source/examples/Notebook/Notebook%20Basics.ipynb
- JupyterLab introduction: https://blog.jupyter.org/jupyterlab-is-ready-for-users-5a6f039b8906
- Learning Markdown to make your Jupyter Notebooks presentation-ready: https://medium.com/ibm-data-science-experience/markdown-for-jupyter-notebooks-cheatsheet-386c05aeebed
- 28 Jupyter Notebook Tips, Tricks, and Shortcuts: https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/
The following resource shows you how to use conda to manage virtual environments instead of the venv solution that ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.