English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 0h 53m | 125 MB
Present your projects like a pro with a new tool, Jupyter Notebook. Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, charts and graphics, and descriptive text. It’s ideal for machine learning, statistical modeling, and other projects that require analysis and visualization. Join instructor Josh McQuiston as he shows how to run Jupyter notebooks, streamline workflows, and use common graphs to visualize your data in uncommon ways. The lessons are illustrated with examples based in real data, so you get an accurate picture of the real-world impact Jupyter can make on your development projects.
Topics include:
- Running a Jupyter notebook
- Using shortcuts
- Line and cell commands
- Visualizing data with plotting
- Publishing Jupyter notebooks in GitHub
- Presenting your notebooks with the slideshow feature
Table of Contents
Introduction
1 Present data like a pro with Jupyter
2 What you should know
Getting to Know Jupyter
3 Installing Jupyter
4 Running your Jupyter notebook
5 Jupyter interface
Working Efficiently with Jupyter
6 Modes
7 Shortcuts
8 Line magic commands
9 Cell magic commands
10 Cell types
Effective Plots for Visualization
11 Using pyplot to visualize data
12 Line graphs
13 Bar graphs
14 Bar graphs with subplots
15 Tables
Publishing and Sharing Your Jupyter Notebook
16 Exporting to HTML and PDF
17 Distributing on GitHub
18 Notebook Viewer
19 Slideshow
Conclusion
20 Next steps
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