🧩 Part 1/8

✔ What is Filtering and Why is it Useful?
✔ How to Create Boolean Masks for Filtering
✔ Using Comparison Operators
✔ Using Logical Operators
✔ Using Methods and Attributes
✔ How to Apply Boolean Masks to DataFrames
✔ Filtering Rows
✔ Filtering Columns
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🧩 Part 2/8

✔ What is the Query Method and How to Use It
✔ Basic Syntax and Examples of the Query Method
✔ Using Operators and Logical Conditions with the Query Method
✔ Using Variables and Expressions with the Query Method
✔ Query Method vs Other Filtering Methods in Pandas
✔ Practical Examples of the Query Method with Real-World Datasets
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🧩 Part 3/8

✔ What is the isin method and why use it?
✔ How to use the isin method with a single column
✔ How to use the isin method with multiple columns
✔ How to combine the isin method with other filtering methods
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🧩 Part 4/8

✔ Creating a Pandas DataFrame
✔ Filtering Data with String Methods
✔ Using str.contains()
✔ Using str.startswith() and str.endswith()
✔ Using str.match() and str.extract()
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🧩 Part 5/8

✔ What are Datetime Methods in Pandas?
✔ How to Create a Datetime Index in Pandas?
✔ How to Filter Data by Date in Pandas?
✔ How to Filter Data by Time in Pandas?
✔ How to Filter Data by Date Range in Pandas?
✔ How to Filter Data by Time Range in Pandas?
✔ How to Filter Data by Day of Week in Pandas?
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🧩 Part 6/8

✔ Creating a Sample DataFrame
✔ Filtering Data with the Where Method
✔ Replacing Values with the Where Method
✔ Filtering Data with the Mask Method
✔ Replacing Values with the Mask Method
✔ Comparing the Where and Mask Methods
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🧩 Part 7/8

✔ Creating a Pandas DataFrame
✔ Filtering with Column Labels
✔ Using a List of Labels
✔ Using a Regex Pattern
✔ Filtering with Row Labels
✔ Using a List of Labels
✔ Using a Callable Function
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🧩 Part 8/8

✔ What is Pandas DataFrame Filtering?
✔ How to Filter DataFrames Using Boolean Indexing
✔ How to Filter DataFrames Using Query Method
✔ How to Filter DataFrames Using Mask Method
✔ How to Filter DataFrames Using Where Method
✔ How to Filter DataFrames Using Isin Method
✔ Comparison of Filtering Techniques
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