Learning Python using Pandas Library from scratch.

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Pandas is a panel data structure easy to use for data analysis using Python. Pandas have many methods which can be used to solve data science problems. The installation pandas is pretty much simple just use.

pip install pandas

If you are using a Google Colaboratory notebooks you don't have to manually install it, just import it, by doing so pandas would be automatically installed or called.
Most of the examples were taken from the Pandas Tutorial because this is the best tutorial on the planet which teaches pandas library from scratch. I have gone through this tutorial and come with the best and handy methods of pandas DataFrame that are necessary for solving problems. This also helps you to prepare for the technical interview, so it's more like a last minute preparation.


Example 1: Object creation



Example 2: Creating a "Series" by passing a list of values, letting pandas create a default integer index:


Example 3: Creating a "DataFrame" by passing a Numpy array, with a DateTime index and labeled columns.



Example 4: Creating a "DataFrame" by passing a dictionary of objects that can be converted to series-like.

Example 5: Viewing the Data


The above are some of the examples of  methods in Pandas library, Also, I hope that reading this blog has given you a better understanding of the pandas library. In my next blog, I will give you guys more insight into some of the most important methods of the pandas library. Thank you guys for spending your time reading my blog, stay tuned for more updates. Let me know what is your opinion about this post in the comment section below. Also if you have any doubts regarding the post, the comment section is all yours. Have a nice day.

Author 
Tanu Nanda Prabhu


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