Author Description

Learn all about Pandas The book covers the following topics: 1 Introduction Explanation of what Pandas is and its advantages 2. Installation and Setup How to install Pandas Setting up the environment (Jupyter Notebook, IDE, etc.) 3. Pandas Fundamentals Series and DataFrame objects Indexing and selecting data Operations and transformations on data 4. Data Cleaning and Preparation Handling missing values Removing duplicates Data types and conversions Merging, joining, and concatenating data 5. Data Analysis and Exploration Grouping and aggregating data Pivot tables and cross-tabulations Time-series analysis Visualization with Pandas 6. Advanced Topics Handling large datasets Memory optimization techniques Working with multi-dimensional data Custom functions and extensions 7. Real-world Applications Case studies and examples using Pandas in various domains Best practices and tips for efficient Pandas usage