6. Power Up Your Analysis: Efficient Ways to Identify Numeric Columns in Pandas DataFrames
   Understanding Numeric Columns:In Pandas DataFrames, numeric columns contain numerical data that can be used for calculations and mathematical operations
7. Enhancing Code Readability with Named Tuples in Python
   I'd be glad to explain named tuples in Python:Named Tuples in PythonIn Python, tuples are ordered collections of elements
8. Checking if an Object is a Dictionary in Python
   I'd be glad to explain determining the type of an object in Python, specifically dictionaries:Dictionaries in PythonA dictionary is a fundamental data structure in Python that stores data in a collection of key-value pairs
9. Python Type Detectives: Unveiling Data Types with type() and isinstance()
   There are two main ways to find out the data type of a variable in Python:Here's a summary:type(): Tells you the exact class of the variable
10. Unlocking Subtype Magic: How isinstance() Empowers Flexible Type Checks in Python
    Why isinstance() is preferred:Subtype check: Imagine you have a class Animal and another class Dog that inherits from Animal
11. Determining Integer Types in Python: Core, NumPy, Signed or Unsigned
    Using isinstance():This function lets you check if a variable belongs to a particular type or a subclass of that type.For checking general integer types (including signed and unsigned), you can use isinstance(value