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- Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool,
built on top of the Python programming language.
- if you Know about in Pandas
- In the Pandas Moslty Use
DataFrame and Series.
- Pandas is designed to simplify and speed up data manipulation tasks by providing easy-to-use methods that can operate on both small and large datasets efficiently.
Key Concepts
- Handling Missing Data
- Data Wrangling
- Vectorized Operations
- Time Series Support
- Input and Output
- Memory-efficient
- Indexing and Selection
Data Structures In Pandas
Series
- Series is a One Dimesional Array,similler to table row.
- Each Values are associated by
index or lable.
DataFrame
- DataFrame is Two Dimesional Array,similler to table.
- It consists of multiple Series, where each column in the DataFrame is a Series
- the index is used to label the rows.