Pandas is an open source python library used for analysis and data manipulation. It is one of the most preferred library in data wrangling. Wes McKinney is the creator of this library. You can checkout his github at following:
This library makes life much more easier by taking data from csv or sql database and convert it into a Python object with columns & rows called as data frame. Pandas officially supports python version 3.6.1 and above and is dependent on libraries like setuptools, NumPy, python-dateutil and pytz. You can install it by following the instructions provided at following link:
If you have configured pandas library in your machine, now is the time to look at the most frequent commands/syntax in pandas. PFB cheatsheet images. You can also download this cheatsheet at the link provided below.
You can also refer to below Pandas notes/cheatsheet which is much more detailed.