Introduction to Pandas and Data Loading
What are pandas? Pandas is a powerful open-source data manipulation and analysis library for Python. It provides data structures like DataFrame and Series , which are used to work with structured data. It provides fast, flexible, data structures that make it easy to handle and analyze large datasets, similar to working with tables or spreadsheets. Key Features 1. Data Structures Series → A one-dimensional array-like object. It’s like a single column from a DataFrame. DataFrame → This is the main structure in Pandas, similar to a table or spreadsheet. It consists of rows and columns, and you can easily manipulate, filter, and analyze data within it. 2. Data Manipulation Handling missing data easily. Data filtering, sorting, grouping, and aggregation. Merging and joining datasets. Time-series functionality (date parsing, resampling, etc.). 3. Performance Built on NumPy, so it’s optimized for performance. Vectorized operations for fast computation. 4. Integration Works well ...