Untitled12.ipynb: Prevent Miles of Scrolling, Reduce the Spaghetti Code from the Copy Pasta

Channel:
United States Coding Tech
Subscribers:
725,000
Published on ● Video Link: https://www.youtube.com/watch?v=MpFZUshKypk


Duration: 35:22
8,549 views
281

Copying and pasting code multiple times creates spaghetti code.This is especially true for a lot of data science based Jupyter notebooks. Watch this video to learn some tricks and tips on how to prevent miles of scrolling and reduce the spaghetti code when creating Jupyter notebooks.

EVENT:
PyData Eindhoven 2019

SPEAKER:
Vincent D. Warmerdam

PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks

CREDITS:
PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w


****
INTERESTED IN THE STOCK MARKET?
I developed a profitable trading model that generates high probability BUY & SELL signals on S&P500. To learn about it, visit https://yuriymatso.com/sp500-model/



Other Videos By Coding Tech


2020-01-09Preparing For a Future Microservices Journey Using Wardley Maps
2020-01-07A Primer on Gaussian Processes for Regression Analysis || Chris Fonnesbeck
2020-01-07Messenger Hacking: Remotely Compromising an iPhone through iMessage
2020-01-06ReasonML for Skeptics || Eric Schaefer
2020-01-06Intro to Kotlin Multiplatform
2020-01-06Publishing (Perfect) Python Packages on PyPi
2020-01-05How To Read (Code)
2020-01-04Stream Into the Future (NodeJS Streams)
2020-01-02Do You Want To Build A Forest? || Thomas J Fan
2020-01-02Crafting Stateful Styles
2020-01-01Untitled12.ipynb: Prevent Miles of Scrolling, Reduce the Spaghetti Code from the Copy Pasta
2019-12-31Regular Expressions: My Secret Love
2019-12-29The Pragmatic Front End Tester
2019-12-29Typography and Variable Fonts
2019-12-27Broken Promises
2019-12-26Building Realtime Serverless APIs with GraphQL and Azure
2019-12-25Top 10 Frustrations for Web Developers and Designers
2019-12-24Microservices: A Retrospective
2019-12-23Electron Desktop Apps With JavaScript
2019-12-22Develop, Debug, Learn
2019-12-21The Art of Code


Tags:
jupyter notebook
python
data science