Thread by @ollylogo

Since my last post I have had a lot of questions on how I went about learning #Python 🐍, here is a thread 🧵on how I went about it 👇

1. As an introduction to #Python I started on @DataCamp with the introductory course. This is a great starting point
datacamp.com/tutorial/python

2. supported by @britishswimming I used a great tutor which we found on fiverr.com, which was a really cost effective of doing it. I was specific as to the purpose I had for #Python - web scraping and data science/data analysis/data visualisation

3. We used Zoom and a great website replit.com where we could collaborate on code during the sessions. I found the interface really intuitive and easy to learn here, particularly the syntax highlighting

4. Once it was time to start coding on my laptop I started with code.visualstudio.com using #jupyternotebooks and #coderunner as extensions. #jupyternotebooks allows you to break your code up into sections for easier understanding and debugging

5. This learning was supported by some excellent resources on @YouTube, particularly @CoreyMSchafer and his really easy to follow videos youtube.com/c/Coreyms which helped me consolidate my learning

6. It was important for me to learn with datasets I was interested in so using #beautifulsoup and #urllibrequest I was able to parse both #html and #json data from #Swimming and #diving websites and databases, reshape, explore and then store in #csvs

7. Always worth having a book as a reference point too! This is a great book

8. Finally, there is no point in having all this data without being able to visualise it! So using @MSPowerBI powerbi.microsoft.com/en-gb/ I was able to import the data, visualise it and share dashboards using @MSPowerApps

9. @MSPowerBI has #Python custom visuals allowing you to create your own bespoke visuals in PowerBI. I found @GuyInACube youtube.com/c/GuyinaCube a great resource for this and generally for PowerBI

10. So that's it! Still early days but I would be interested to hear how other people have gone about learning #Python #SportsData 🐍🏊‍♂️🏅