A Comprehensive Practical Guide to Python Pandas

• Pandas Data Structures
  • Pandas Series in Python Pandas
  • Pandas DataFrame in Python Pandas
• Creating a Data Frame in Python Pandas
  • Reading Data from a File in Python Pandas
  • Create a DataFrame in Python Pandas
• Exploring a Data Frame in Python Pandas
  • Size of a DataFrame in Python Pandas
  • Data Types of Columns in Python Pandas
  • Different Values in a Column in Python Pandas
  • Measures of Central Tendency in Python Pandas
  • Challenge: Find the Most Frequent Values in a Column in Python Pandas
• Filtering a Data Frame in Python Pandas
  • Why Do We Need Filtering? in Python Pandas
  • Filtering with 'loc' and 'iloc' Methods in Python Pandas
  • Filtering by Selecting a Subset of Columns in Python Pandas
  • Filtering by Condition in Python Pandas
  • Filtering Rows with the Query Function in Python Pandas
  • Challenge: Filter Out the Values Below Average in Python Pandas
• String Manipulation with Pandas in Python Pandas
  • Slicing and Indexing on Strings in Python Pandas
  • Splitting and Combining Strings in Python Pandas
  • Converting Strings to Upper and Lower Case in Python Pandas
  • Challenge: Create City and State Columns from the Address in Python Pandas
  • Replacing Characters in a String in Python Pandas
  • Chained Operations in Python Pandas
  • Challenge: Make the Salary Column Proper in Python Pandas
• Date Manipulation with Pandas in Python Pandas
  • Pandas Date and Time Data Types in Python Pandas
  • Extracting Information from Dates in Python Pandas
  • The dt Accessor in Python Pandas
  • Manipulating Dates by Adding Time Intervals in Python Pandas
  • Challenge: The Age of Employees in Python Pandas
  • Quiz Yourself: Date Manipulation in Python Pandas
• Handling Missing Values with Pandas in Python Pandas
  • Missing Value Types and Representation in Python Pandas
  • Finding the Missing Values in Python Pandas
  • Dropping Rows and Columns with Missing Values in Python Pandas
  • Replacing the Missing Values in Python Pandas
  • Challenge: Filling the Missing Values in Python Pandas
• Data Analysis with Pandas in Python Pandas
  • The groupby Function in Python Pandas
  • Enhancing the groupby Function in Python Pandas
  • Challenge: Find the Weekly Sales Quantities in Python Pandas
  • The Pivot Table Function in Python Pandas
  • The Cut and Qcut Functions in Python Pandas
  • Challenge: Categorize Groceries Based on Price in Python Pandas
  • The 'where' Function in Python Pandas
• Data Visualization with Pandas in Python Pandas
  • Histogram in Python Pandas
  • Line Plot in Python Pandas
  • Scatter Plot in Python Pandas