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Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

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 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...
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Python Abstract Classes to Learn Quickly

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Here's the best example of how to understand the abstract classes of python quickly. An abstract class means it is a skeleton. You cannot instantiate abstract classes.

For Example:

The abstract class name is 'dog'

o = dog()

It gives an error. Since the 'dog' is an abstract class.

I am sharing with you a clear understanding of abstract class. So that you can tell confidently about these classes.

Here is the beautiful answer with syntax and examples of the Python abstract class.


The syntax for Abstract Class


from abc, import ABC, abstractmethod 
class <class name>(ABC):
@abstractmethod 
def <method name>(): 
#abstract class definition

Python Abstract Class Explanation


from abc import ABC, abstractmethod
class AbsBaseClass(ABC):
def __init__(self):
print("Abstract class")
@abstractmethod
def abMeth(self):
pass
def conMeth(self):
print("I'm a concrete method")
class Derived(AbsBaseClass):
def abMeth(self):
print("I'm redefined")
o=Derived()
o.abMeth()
o.conMeth()




References

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