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7 things to quickly improve your Data Analysis in Python
Take your Data Analysis to the next level!
Thank you (…again)
Turning a blind eye to the completely obvious risk of sounding like a broken record I just want to voice yet another giant thank you to everyone who’s been reading and sharing my last two articles: Python tricks 101, what every new programmer should know and Exploring your data with just 1 line of Python. Here I was, thinking that the “Python tricks 101…” article had been successful and then you go ahead and blow any expectations away once more.
So, to quote myself:
“Thanks and lets get on with it!”
For this article I thought it would be nice to create a list of things I’ve learned that have sped up or improved my average day-to-day data analysis. So without any further ado, here’s a list of what we’ll be covering in the article:
Content overview:
- Pandas Profiling
- Plotting Pandas data using Cufflinks & Plotly
- IPython Magic Commands
- Fancy formatting in Jupyter
- Jupyter shortcuts
- Multiple outputs per cell in Jupyter (or IPython)
- Instantly create slideshows of your…