Python Data Visualization - Where To Start?
Episode #384,
published Tue, Oct 4, 2022, recorded Wed, Sep 28, 2022
Do you struggle to know where to start in the wide range of Python's visualization frameworks? Not sure when to use Plotly vs. Matplotlib vs. Altair? Then this episode is for you. We have Chris Moffitt, a Talk Python course author and founder of Practical Business Python, back on the show to discuss getting started with Python's data visualization frameworks.
Links from the show
Links from the show
Chris on Twitter: @chris1610
Python Data Visualization course: talkpython.fm
10 tips to move from Excel to Python episode: talkpython.fm
Escaping Excel Hell with Python and Pandas episode: talkpython.fm
PB Python: pbpython.com
matplotlib: matplotlib.org
Seaborn example: seaborn.pydata.org
Altair: altair-viz.github.io
Plotly sunburst: plotly.com
Plotly treemap: plotly.com
streamlit: streamlit.io
Dash: dash.gallery
Streamlit Talk Python episode: talkpython.fm
splink package: github.com
redframes package: github.com
Edward Tufte book: edwardtufte.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Python Data Visualization course: talkpython.fm
10 tips to move from Excel to Python episode: talkpython.fm
Escaping Excel Hell with Python and Pandas episode: talkpython.fm
PB Python: pbpython.com
matplotlib: matplotlib.org
Seaborn example: seaborn.pydata.org
Altair: altair-viz.github.io
Plotly sunburst: plotly.com
Plotly treemap: plotly.com
streamlit: streamlit.io
Dash: dash.gallery
Streamlit Talk Python episode: talkpython.fm
splink package: github.com
redframes package: github.com
Edward Tufte book: edwardtufte.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy