Hands on Data Visualization, Data Science, AI and Python
Alan JonesPractical tutorials about Data Science, Data Visualization and AI with hands-on coding mostly in Python
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
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| Issues | 96 | Founded | 6 years ago | Last Issue | 4 months ago |
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technofile.substack.comLatest Issues
A Pause...
A domestic situation prevents me from spending much time on this Substack, so my posts will be even more erratic than usual. Indeed, I may not be able to post anything new for the time being.
So, if you are a paid subscriber, please cancel...
Plotly Studio: AI Data Analysis and Visualization
You might have seen AI-driven data visualization applications before, but other tools that I have used have a kind of DIY feel.
By contrast, Plotly Studio is a complete desktop app that takes you smoothly and professionally from raw data...
Pandas Plots: Matplotlib Made Easy
Matplotlib is powerful but can be daunting as it can get verbose when you move beyond basic charts. If you don’t need that level of granular control, there’s a faster path to great visuals: the built-in plotting tools in Pandas. They delive...
Matplotlib or Plotly: how to choose the right Python visualization library
Photo by Jakub Żerdzicki on Unsplash
Matplotlib and Plotly are both data visualization powerhouses, but they were created for different purposes. Which you use depends on the purpose of your Python application.
Matplotlib was created back...
px_xtras: Beyond Plotly Express, More Beautiful Charts
Of course, you’ve used Plotly Express to create quick and beautiful charts, and you know how easy it makes data visualisation in Python. But if your needs grow beyond the standard offerings, you might find yourself tangled up in complex Plo...
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Authors
The writers behind this newsletter.
Brit in Northern Spain. Ex-university teacher and software developer. I write about data science, data visualization and technology.
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