April 2024
Beginner to intermediate
184 pages
4h 26m
English
Content preview from Python 3 Data Visualization Using Google Gemini
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INDEX
A
AI21, 130
Anthropic, 130–131
Apple GPT, 146
B
Bard, 137–138
alternatives, 144–146
Matplotlib
box-and-whisker plots, 155–156
contour plots, 162–164
donut charts, 158–160
3D surface plots, 160–162
line plots, 151–153
pie charts, 153–154
stacked bar charts, 156–158
queries and responses, 138–144
Seaborn
bar charts, 169–172
heat maps, 174–176
histplot() function, 176–177
polar plots, 167–169
scatter plots, 172–174
stream plot, 165–167
violin plots, 177–180
Bokeh, 109–111
C
Charts and graphs
bar charts, 148
box plots, 150
heatmap, 149
histogram, 149
line graphs, 148–149
Pareto chart, 150
pie charts, 148
radar charts, 150
treemap, 151
waterfall chart, 151
Cohere, 129
Command-line arguments, 27–28
Compile-time checking, ...
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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.
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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.