## Part 11: VECTORIZED STRING OPERATIONS

We will learn to apply the famous Python string operations on Pandas Series and DataFrame objects

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We will learn to apply the famous Python string operations on Pandas Series and DataFrame objects

We will go through the basics of working of Pivot Tables – essentially a multi-dimensional version of GroupBy aggregation

Learn the simple aggregation techniques along with Pandas GroupBy function applied on Series and DataFrame.

In this article, we will learn how to apply various filtering and sorting techniques on Pandas Series and DataFrame

In this article, we will learn how to combine datasets using concat, append, merge and join functions/methods

In this article, we will learn how to create, index, slice, rearrange and aggregate a multi-index Series and DataFrame.

In this article, we will learn how to handle the missing data in Pandas, which includes detecting, dipping and filling the missing data.

In this article, we will learn the basics of I/O: how to read/write files in csv, json and xls format

In this article, we will learn how to index Pandas Series and DataFrame, including fancy indexing and using indexers like loc and iloc