Django & Plotly - Building a Github-style Heatmap

In this video, we'll build a Github-style contribution heatmap using Django and Plotly. We'll see how to build basic models to replicate Github (very simply!), and how to use Plotly's imshow function to generate heatmaps that can be rendered in Django templates. We'll also see how to use Python and Django's datetime functionality to manipulate ORM objects and get the correct counts for a given date. Starter code is available at: https://github.com/bugbytes-io/django-plotly-heatmap Management command to generate data is here: https://github.com/bugbytes-io/django-plotly-heatmap/blob/video1/core/management/commands/generate_commits.py ? ????????: 00:00 Intro 01:07 Building Django Models 04:40 Creating SHA1 hash function 08:50 TimeStampedModel additional fields 09:28 Querying to Retrieve User Commits 10:08 Generating Fake Data 12:11 Adding URL and view 15:44 Finding the number of commits per-day 18:17 Reshaping Counts to a 2D list 21:59 Creating Plotly heat map 23:25 Changing the color scale 24:39 Customising Axis labels 28:09 Customising the Figure ☕️ ??? ?? ? ??????: To support the channel and encourage new videos, please consider buying me a coffee here: https://ko-fi.com/bugbytes ?????? ?????: ? Blog: https://www.bugbytes.io/posts/ ? Github: https://github.com/bugbytes-io/django-plotly-heatmap ? Twitter: https://twitter.com/bugbytesio ? ??????? ??????? ??? ???????????: Plotly Heatmaps: https://plotly.com/python/heatmaps/ Plotly Color Scales: https://plotly.com/python/builtin-colorscales/ Python Hashlib: https://docs.python.org/3/library/hashlib.html django-model-utils: https://django-model-utils.readthedocs.io/en/latest/ #python #django #plotly #aggregation