Exploratory Data Analysis in Python (Pandas)
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Looking for a good source of functions used in EDA with Python (using Pandas library or any other).
Basically my aim is to be able to derive quickly from a large set of data (usually over 20 000 records) the following information:
- what data is about
-main trends and patterns
Does anyone have any examples?
From my point of view there
From my point of view there are more books and tutorials on youtube about that subject than I have time to read/view. But you will need some basic Python skills because the language is developing fast. Often older code snippets need some modifications f.e.: print "Hello" doesn't work in newer versions because you need to set brackets: print("Hello").
Maybe www.packtpub.com is a good source to find eBooks regarding Python, data analysis and machine learning. When registering you will find some free books and also a daily free book or video tutorial. Another good source are books from O'Reilly. They sometimes offer free books too.
Hi - I've probably come a bit
Hi - I've probably come a bit late with this but I have found Datacamp.com an excellent tool for learning Python. I've been doing it for just over a year and have learned enough to start seeing benefits in my job and applying it to more complicated tasks (e.g. I am currently building a script to scrape number plates from a load of Excel files, send to the DVLA via an API, return CO2 emissions and estimate company vehicle emissions. A year ago I would not have had a clue to where to even start with this).
Hello borderraux,
Hello borderraux,
Unfortunately I don't have anything for you. I keep trying to spend more time with Python but I have too many other things on the go. Hopefully I will have more time in the future. If you do find anything I hope you will share.
Brian