Awesome Strava Charts with Plotly & Dash - Get in-depth insights into your Strava workouts with Python

Unlock Hidden Insights in Your Strava Workouts!

Whether you’re a data professional wanting to improve your visualization skills or a cycling fan craving more detailed ride stats than even Strava Premium offers, this book is your ultimate guide.

Imagine exporting any cycling activity from your Strava profile and getting even more data than the premium Strava version provides - that's what this book is all about. If you know some basic Python programming, you can do just that! You can also analyze other activity types like running and swimming with only a few small code changes.

In just one afternoon, you’ll master the process of transforming a raw Strava GPX file into a fully interactive Python dashboard. This responsive dashboard includes:

• Comprehensive Ride stats: Duration, distance, total climb, and descent.
• Interactive Map: A precise plot of your route.
• Insightful Charts: Speed, elevation, temperature, heart rate, heart rate zones, gradient profile, and gradient ranges.

The book breaks it down into six easy-to-follow chapters:

• Chapter 1: Parse and Visualize Strava Activities with Python and Matplotlib
• Chapter 2: Create Interactive Strava Route Maps with Plotly
• Chapter 3: Visualize Strava Activity Speed, Elevation, and Temperature
• Chapter 4: Visualize Heart Rate and Heart Rate Zones from a Strava Activity
• Chapter 5: Visualize Strava Route Gradients and Gradient Ranges
• Chapter 6: Make a Strava Activity Dashboard with Plotly and Dash

By the end, you’ll have the tools to create customized, data-rich dashboards that leave your fellow cyclists and Strava users in awe.

Ready to take your workout data to the next level? Get your copy of Awesome Strava Charts with Plotly & Dash now and start building your own jaw-dropping dashboards today!

If you want to take a peak first, you can download Chapter 1 for free.