In this beginner friendly hands on tutorial, we will be using the Toronto BikeShare GTFS data feed to build a live interactive streamlit web app in Python. You can replicate this project with data from your own city that would be perfect for your data science portfolio projects.
Github Repo: https://github.com/maggieindata/bikes...
Play around with the Live App: https://findmeabike.streamlit.app
Data: https://open.toronto.ca/dataset/bike-...
00:00 intro
01:11 project demo
03:03 user centric design + business impact
06:57 Set up IDE and folder structure
08:59 Set Up Environment
10:49 First line of streamlit code
12:36 Data Source
19:15 KPI metrics
24:50 Add Sidebar
31:32 Edge Case Logic
36:30 Add Maps
45:12 final debugging
46:33 portfolio project tips
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👩🏻💻About Me:
I'm Maggie, a 26 year old data scientist living in Toronto. I recently quit my job in tech and am currently on my 1 year sabbatical to pursue entrepreneurship and content creation full time. In my videos, you can expect Python coding tutorials, navigating career and life in my 20s, and how you can break into data science too.
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tags: python, data science, data, data projects, data science portfolio projects, beginner friendly coding project, python coding project, streamlit, dashboard, data visualization, web app, data scientist, learn programming, how to code in python, real world data science project, portfolio project, data analyst, data analytics project, big data, data cleaning
#python #codingtutorial #datascience
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