The best thing i like about Pandas is how fast and easily it handles huge set of Data in and organize it according to our need. also coding in panda is very fast, I can do a lot of work in very little time.

I like the numpy and ipython integration most, which is very useful for any application. I like the PANDA packages, which are helpful for multiple data processing and machine learning applications. Julia and scipy also I like it. Data frame is essential for data manipulation and easy to link with SQL. It gives the same output in fewer lines of code compared to C++ and C

Pandas is the most common library in python when you have to deal with table like data. This makes of pandas a library with a lot of help available around the web. I like the way of importing data to pandas from text format, spreadsheets, csv, tsv, etc. I also like the way to select rows and columns and to operate with them. Although it is a little bit confusing at the beginning, once you get used to the way to manage data with pandas DataFrames, it is quite easy to play with data.