A Comprehensive Guide to Pandas for Data Science

Quick dive into Pandas

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A Comprehensive Guide to Pandas for Data Science

Pandas

Pandas is an open-source python package that provides numerous tools for high-performance data analysis and data manipulation.

Let’s learn about the most widely used Pandas Library in this article.

Table of content

1. Pandas Series
2. Pandas DataFrame
3. How to create Pandas DataFrame?
4. Understanding Pandas DataFrames
5. Sorting Pandas DataFrames
6. Indexing and Slicing Pandas Dataframes
7. Subset DataFrames based on certain conditions
8. How to fill/drop the null values?
9. Lambda functions to modify dataframe
10. Merge, Concatenate dataframes
11. Grouping and aggregating

Pandas Datastructures

Pandas supports two datastructures

1. Pandas Series
2. Pandas DataFrame

Pandas Series