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Hands-On-With-Pandas 🐼

A Beginner-Friendly Pandas Tutorial designed to walk through the essentials of data manipulation and analysis using Python's powerful library, Pandas. This tutorial has been modified from ajitsingh98/Hands-on-with-Pandas via the MIT License. The tutorial covers the following topics:

  1. Creating and Viewing DataFrames and Series
  • Creating Data Structures
  • Viewing Data
  1. Data Aggregation and Statistics
  • Summarizing Data
  • Exploratory Data Analysis
  1. Indexing and Selection
  • Accessing Data
  • Conditional Selection
  • Advanced Indexing
  1. Data Manipulation
  • Modifying DataFrames
  • Data Type Conversion
  • Index Management
  • Advanced Manipulation
  1. Missing Data Handling
  • Identifying Missing Data
  • Handling Missing Data
  1. Data Cleaning and Transformation
  • Cleaning Operations
  1. Merging and Joining DataFrames
  • Combining Data
  1. Working with Dates and Times
  • Date-Time Conversion
  • Time-Series Analysis
  1. Data Visualization
  • Visual Representation
  1. IO Operations
  • Reading Data
  • Writing Data

We will be working through the Exercise in class for an active learning experince.