My favorite resources for learning pandas (python library for analyzing datasets in table formats)

I highly recommend learning pandas (the Python data analysis library) if you want to do any sort of data analysis or think you might want to in the future. Yes, wet work scientists this means you too! Those results you get at the bench will need some work to analyze and Excel won’t cut it!

Start with getting Python fundamentals down:

Then get into pandas:
* official docs
* It has all the fundamentals & it’s broken up by topics (indexing, filtering, grouping, sorting, etc.) so you can easily find what you need
- 80/20 NumPy and 80/20 Pandas, Pandas Mega-Tutorial

You can plot data from pandas dataframes and I like using Seaborn to do this. It’s built on matplotlib (which you can use without Seaborn as well but Seaborn makes things easier and prettier). Here’s a good Seaborn tutorial:

I like working with Jupyter Notebooks in Jupyter Lab. More tips for that here:

If you are using Jupiter Lab, you can access the pandas documentation under the Help tab, and you can access docstrings (usage guides) for various functions by pressing shift+tab at the end of the term.

note: I reposted after fixing the audio - sorry about that! 

   
#scicomm #biochemistry #molecularbiology #biology #sciencelife #science #realtimechem

[aarrtt-qtpi]

Hello ma' am I am a 1st year plant biotechnology student.
A fresher.. ma' am i love your videos...i was searching "DNA extraction process" but i did'nt find it...😅 Ma' am u explain very nicely..is there any video on this topic ?? If it's there..kindly make a playlist of all laboratory procedures😅