Скачать или смотреть Pandas Data Merging and Joining Techniques | 8 | Complete Pandas Tutorial for Beginners | animazouk

Welcome to the Complete Pandas Tutorial

📌 You will learn the following from this vedio:
• Why data merging is essential in Data Science when working with multiple datasets.
• SQL-style joins with pd.merge() – Inner, Left, Right, and Outer joins explained with examples.
• Using .join() for index-based alignment.
• How to stack DataFrames with pd.concat() – vertical (row-wise) and horizontal (column-wise) concatenation.
• Real-world illustrations with employees and departments DataFrames.
• When to use which method – merge vs concat vs join, based on your data combination needs.
• Key takeaways to confidently handle relational joins, append new rows, or add new features side-by-side.
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This course is a comprehensive introduction to Pandas — from the very basics of Series and DataFrames to advanced features like grouping, merging, and time-series analysis.
By the end, you’ll have a strong foundation in data manipulation and analysis, making you ready to move confidently into Data Science, Machine Learning, and AI.

🔗 Watch the full Pandas Tutorial For Beginners Playlist here:    • Complete PANDAS Tutorial To get you Started  

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