Welcome to the March edition of Plotly’s newsletter! From an energy-focused webinar to a new community app challenge, we’ve been hard at work with exciting events and programs. Let’s dive in!
⭐ Upcoming Events
Plotly with Databricks In-Person Meetup
On April 17 at 1pm BST, Plotly’s local London team is organizing a special event for Databricks and Plotly users following the London Data Intelligence Day. For industry professionals, this is the ideal chance to network with like-minded people, learn tips and tricks, and discover high-value joint use cases. Come explore the unrealized possibilities of Databricks with Plotly. Spots are limited.
🌟 ODSC East
Catch us at ODSC East from April 23–25. At the event, we’ll discuss the importance of using the best data analytics tools and platforms to enable enterprises to build and scale data applications quickly and efficiently. Come say hi and meet our team, located at booth 19.
Plotly will also have two speaker slots. On April 23rd at 9:30 AM ET, Mingo Sanchez, Plotly Solutions Engineer, will lead a workshop on how to build interactive data apps with Dash. We also have members from the Kansas City Chiefs data analytics team presenting how they implemented Python analytics with Dash Enterprise. Michael Ragsdale, Vice President of Finance, Strategy, and Analytics, and Andrew Schutte, Senior Data Scientist will be presenting on April 23rd at 11:00 AM ET.
Register for the event here.
Accelerating Time to Insights for the Public Sector
We teamed up with Carahsoft for our next webinar! On April 10th, Mingo Sanchez, Plotly Solutions Engineer, will share how Plotly helps government organizations make data-driven decisions, faster. Learn about the public sector’s use of Python-based analytics, from automated reporting to sophisticated visualization. Register here.
🌼 March Events
Deliver Predictive Analytics with Dash Enterprise and Databricks
During our March 20 webinar, UK Power Networks, a distribution network operator with 20 million customers, spoke about their data analytics needs. With Dash Enterprise and Databricks, their Decision Sciences team developed a production-grade low-voltage network capital planning app that enabled a better understanding of customers’ needs and behaviors, improved forecasting of consumption patterns, and optimized facilitation of efficient network upgrades.
Watch the highlights below. You can see the webinar recording here.
CDAO Canada 2024
On March 26–27, Plotly team members Abe Warraich and Mingo Sanchez had an amazing time at CDAO Canada! They met with data and analytics leaders, discussing how to harness the power of data to drive business growth, enhance operational efficiency, and foster innovation.
Jeff Butler, Executive Director at CIBC, also presented on XVA trading. If you missed his talk, check out their Plotly user story.
🤝 Community Spotlight
➡️ Fraud Detection Dash App Community Challenge — The community challenge for this month was centered around fraud detection. The challenge involved developing a Dash application with credit card usage data visualization and a fraud prediction feature. The winning apps are:
- 🥇 Fraud Detection Dash App, created by Pablo, with the following code
- 🥈 Credit Card Transactions Dashboard, created by Rishi, with the following code.
➡️ Plotly Dash Online Course — Adam Schroeder, Plotly Community Manager, has created a free 6-session course that teaches how to build dashboards with Plotly Dash. In this course, he’ll teach you how to use Plotly Dash to better understand your datasets by creating flexible, interactive, and powerful apps that connect directly to your analytics code.
➡️ Folmer Krikken’s App — Using state-of-the-art (CMIP6) climate model data, Folmer Krikken developed Climateradar. It specializes in transforming raw weather and climate data into tailor-made, easily understandable, and user-friendly products. Built on Plotly Dash, the climate analyzer tools allow you to evaluate your current weather from a climate viewpoint and separate the effects of climate change. Get started here.
⚡ Product Updates
- Dash Open Source Framework 2.16.1 (changelog) — Removed dynamic loading
- Dash AG Grid 31.0.1 (changelog) — Updated README.md
- Plotly.py 5.20.0 (changelog) — Add fill gradients for scatter traces and
indentationto legend - Plotly.js 2.30.1 (changelog) — Fixed centering multi-line headers for treemap traces, heatmap text color and
texttemplateon cells with missing data, and scattergl rendering when colors include capital letters
📚 Resources
Catch up on blog posts and user stories, deep diving into key topics for data science teams:
- Amplify Your Organization’s Custom LLM Strategy Using Databricks with Plotly (Part 1)
- Getting Started with Dash AG Grid v.31
- Meet Liam Connors: Senior Technical Writer at Plotly
- UK Power Networks user story
💼 Join the Plotly team
The Plotly team is growing. Explore our open positions and become part of a dynamic community shaping the future of data visualization.
- Engineering Manager — Platform, Dash Enterprise
- Senior Software Engineer, Full stack, App Studio
- Software Engineer, Full stack, AI
- Software Engineer, Libraries (Python/JS/React)
- Product Designer
- Sales Development Representative
- Customer Success Onboarding Specialist
The Plotly Community also has job postings from around the world looking for Plotly and Dash skills. Check them out.
👋 Thanks for reading!
Thanks for joining us for this month’s round-up. Stay tuned for more exciting updates from Plotly in April.
