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How to Check Column Nulls and Replace: Pandas

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Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda

Java in Digital Applications Real Usage

Recently I found, some of my friends refreshing Java language skills. I asked them why.

They told me many digital applications need proficiency in Java skill.

Java is the top skill, and popular in customization of all the tools involved in digital applications. 

From the above conversation, I can say that at least core Java everyone should be proficient. In addition to that, Java once upon a time popular as web development language.Since Java is being used in all modern applications. 

Of course, there are many other popular languages. Those are Python and Scala.

 

Top List of  Java Applications
  1. Robotic process automation-Daily activities in any offices can be automated with Robotic process automation. Java is the language in this scenario to write backend scripts.
  2. Artificial Intelligence-Each AI application involves some sort of programming logic. Where it validates user input and sends back output. The backend logic often is written in Java.
  3. Full stack development-In this area, web development modernization, and maintenance jobs are more. So to work on these applications you need Java. Java is popular for the past two decades, and many applications already are written using it.
  4. Migration to cloud-The tools involved is CloudFormation need skills in Java. Since all the customizations need proficiency in basic Java.
  5. Blockchain-One of the top platforms. People are using for financial applications where transactions are prone to fraud The script to write in Blockchain needs Java skills.

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