How to merge DataFrames in pandas | Pandas Tutorial for beginners

Will discuss pandas merge, how to do data analysis using python, how we can merge two pandas data frames and use them for our data analysis.
Pandas is a very powerful too, for data analysis and merging helps a lot when our data is spread amongst multiple data sources.

Merge DataFrame or named Series objects with a database-style join. The join is done on columns or indexes. If joining columns on columns, the DataFrame indexes will be ignored. Otherwise if joining indexes on indexes or indexes on a column or columns, the index will be passed on.
In any real world data science situation with Python, you’ll be about 10 minutes in when you’ll need to merge or join Pandas Dataframes together to form your analysis dataset. Merging and joining dataframes is a core process that any aspiring data analyst will need to master. This blog post addresses the process of merging datasets, that is, joining two datasets together based on common columns between them

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