abstreet VS plotly

Super awesome! I like how you just color roads to show time. When you calculate polygons to try and cover the whole area in some 5-10 minute bucket, you can wind up with all sorts of odd holes far away from roads. Keep it simple.

https://github.com/a-b-street/abstreet/pull/1075

A|B Street does some of that, but it is not a game: https://github.com/a-b-street/abstreet

You can build it out in a cool simulator and show it off.

The tool you want exists, but you'll need to actually build the city in it. It's really an incredible program!

Active Travel England | Software Developers and Data Engineer | Full or Part Time | https://www.gov.uk/government/organisations/active-travel-en...

Active Travel England will be developing tools to support evidence-based investment and policies to support sustainable transport. We're hiring 3 roles at present (there will be more jobs in January): https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SI...

We are already working with the transport simulation and scenario development tool A/B Street and the Low Traffic Neighbourhood design tool: https://a-b-street.github.io/docs/ and plan to create new web applications to transform active travel infrastructure design, monitoring and evaluation.

An exciting thing about these jobs from a software engineering perspective is that you will be starting with a relatively blank slate. In the UK we already have tools like https://bikedata.cyclestreets.net and https://www.pct.bike/ but need to go further than this. Long term, the 7 strong Data and Digital team that you will be part of will develop a comprehensive map based design support tool to provide data of the type in BikeData (and more datasets), drawing tools, and automated assessment of proposed interventions.

These opportunities will enable you to shape the future of tools for active travel investment and policy in England and, because the software develop as part of these roles will be open source, beyond.

These high profile jobs will have a large impact, see here for context: https://twitter.com/Chris_Boardman/status/159648662743800217...

I don't know the topic well enough to be sure, but isn't this what you're looking for: https://github.com/a-b-street/abstreet

https://github.com/a-b-street/abstreet - project to plan, simulate, and communicate visions for making cities friendlier to people walking, biking, and taking public transit.

Github: https://github.com/plotly/plotly.py

First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.

my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.

Plotly documentation (https://plotly.com/python/)

I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.

Plotly GitHub repository: https://github.com/plotly/plotly.py

I'm using plotly.py now. This is why I love this community.

Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.