Featured Post

SQL Interview Success: Unlocking the Top 5 Frequently Asked Queries

Image
 Here are the five top commonly asked SQL queries in the interviews. These you can expect in Data Analyst, or, Data Engineer interviews. Top SQL Queries for Interviews 01. Joins The commonly asked question pertains to providing two tables, determining the number of rows that will return on various join types, and the resultant. Table1 -------- id ---- 1 1 2 3 Table2 -------- id ---- 1 3 1 NULL Output ------- Inner join --------------- 5 rows will return The result will be: =============== 1  1 1   1 1   1 1    1 3    3 02. Substring and Concat Here, we need to write an SQL query to make the upper case of the first letter and the small case of the remaining letter. Table1 ------ ename ===== raJu venKat kRIshna Solution: ========== SELECT CONCAT(UPPER(SUBSTRING(name, 1, 1)), LOWER(SUBSTRING(name, 2))) AS capitalized_name FROM Table1; 03. Case statement SQL Query ========= SELECT Code1, Code2,      CASE         WHEN Code1 = 'A' AND Code2 = 'AA' THEN "A" | "A

Relational Operators in Python: A Quick Guide On How to Use Them

Relational operators in Python are helpful, If you are working with numeric values to compare them. Here we explore eight different relational operators and provide examples of how each one works. So to compare numeric values it is a useful guide to refresh.


Relational Operators


Python Relational Operators

Here's a frequently used list of relational operators, and these you can use to compare numeric values. The list shows how to use each operator helpful for data analysis.


<
<=
>
>=
==
!=
Is
is not

Python program: How to use relational operators

Assign 23 to a and 11 to b. Then, apply all the comparison operators. The output is self-explanatory. Bookmark this article to refresh when you are in doubt.

Example

a = 23
b = 11
print("Is a greater than b?", a > b) #greater than
print("Is a less than b?", a < b) #less than
print("Is a greater or equal to b?", a >= b) #greater or equal
print("Is a less or equal to b?", a <= b) #less or equal
print("Is a equal to b (option 1)?", a == b) #test for equality
print("Is a equal to b (option 2)?", a is b) #test for equality
print("Is a not equal to b (option 1)?", a != b) #test for inequality
print("Is a not equal to b (option 2)?", a is not b) #test for inequality


The output

Is a greater than b? True
Is a less than b? False
Is a greater or equal to b? True
Is a less or equal to b? False
Is a equal to b (option 1)? False
Is a equal to b (option 2)? False
Is a not equal to b (option 1)? True
Is a not equal to b (option 2)? Tru



** Process exited - Return Code: 0 **
Press Enter to exit terminal

Conclusion

Relational operators are very helpful for developers who work on data analysis projects, and act as a quick guide they can use as a refresher.

Comments

Popular posts from this blog

How to Fix datetime Import Error in Python Quickly

Explained Ideal Structure of Python Class

How to Check Kafka Available Brokers