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A comprehensive Jupyter Notebook series for learning and mastering Pandas for Data Science — from beginner to advanced, with practical examples and clear explanations for revision and sharing knowledge.

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khalidkhankakar/Pandas-for-Data-Science

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Welcome to my personal Pandas learning repository! This is a comprehensive collection ofJupyter Notebooks where I explore and learnPandas for Data Science, covering everything from thebasics to advanced topics.

Whether you're a beginner just starting out or someone revising for interviews or real-world projects, this repository is designed to be:

  • ✅ Beginner-friendly
  • ✅ Rich with hands-on examples
  • ✅ Well-documented and easy to follow
  • ✅ A valuable resource for learners and professionals alike
  • more etc...

📚 Topics Covered

  • Introduction to Pandas 🐼
  • Pandas Series and DataFrames
  • Checking the data structure
  • Reading & Writing Data (CSV, Excel, more etc...)
  • Data Cleaning & Handling Missing Values
  • Filtering, Sorting & Indexing
  • GroupBy Operations
  • Merging, Joining & Concatenation
  • Aggregation & Pivot Tables
  • Time Series Analysis
  • Working with Text Data
  • Advanced Pandas Tips & Tricks
  • Real-world Use Cases and Projects
  • Dataset spliting
  • Random and Startified Sampling
  • and more etc...

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A comprehensive Jupyter Notebook series for learning and mastering Pandas for Data Science — from beginner to advanced, with practical examples and clear explanations for revision and sharing knowledge.

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