List Column Names And Data Types In Pandas DataFrames | Python Pandas Tutorial For Data Engineering

Welcome to ITVersity’s ‘Data Analysis Using Pandas’ series, your step-by-step guide to mastering data exploration and manipulation with Python!

In this video, we take a deeper dive into exploring datasets using Pandas. Learn how to:
• Use the columns attribute to efficiently list all column names in a Pandas DataFrame.
• Leverage the dtypes attribute to examine the data types of each column, a critical step in understanding your dataset’s structure.

*Why This Video Matters:*
• Knowing your DataFrame’s column names and data types is essential for preparing your data for cleaning, transformation, and analysis.
• This foundational knowledge helps you identify mismatched or unexpected data types, making it easier to optimize your workflow for real-world datasets.

*Who Should Watch?

This video is perfect for Data Engineers, Data Analysts, and Data Scientists looking to improve their data exploration skills using Python and Pandas.

Continue Your Learning Journey with Pandas! 🚀

*Resources*

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Stay tuned for more tutorials in this series as we explore advanced data manipulation techniques with Pandas!

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