Skip to main content

Python Conditional statements

Conditional statements in Python allow you to execute code based on certain conditions. They are fundamental for controlling the flow of a program. Here's a comprehensive overview of how to use conditional statements in Python:

1. if Statement

The if statement is used to test a condition. If the condition evaluates to True, the code block under the if statement is executed.


2. if-else Statement

The else statement follows an if statement and runs when the if condition is False.


3. if-elif-else Statement

The elif (short for "else if") statement checks another condition if the previous if condition was False


4. Nested if Statements

You can nest if statements within other if statements to create complex conditions.


5. Logical Operators

You can use logical operators (and, or, not) to combine multiple conditions.

Using and:


Using or:


Using not:


6. Conditional Expressions (Ternary Operator)

Python supports conditional expressions (also known as ternary operators) for short conditional assignments.



Summary

  • if statement: Executes a block of code if the condition is true.
  • else statement: Executes a block of code if the if condition is false.
  • elif statement: Checks multiple conditions.
  • Logical operators: and, or, not to combine conditions.
  • Nested if statements: Create complex conditions.
  • Ternary operator: Short conditional assignments.

By mastering conditional statements, you'll be able to control the flow of your programs effectively and handle various logical scenarios.


Comments

Post a Comment

Popular posts from this blog

Performance Optimization

Performance optimization in SQL is crucial for ensuring that your database queries run efficiently, especially as the size and complexity of your data grow. Here are several strategies and techniques to optimize SQL performance: Indexing Create Indexes : Primary Key and Unique Indexes : These are automatically indexed. Ensure that your tables have primary keys and unique constraints where applicable. Foreign Keys : Index foreign key columns to speed up join operations. Composite Indexes : Use these when queries filter on multiple columns. The order of columns in the index should match the order in the query conditions. Avoid Over-Indexing:  Too many indexes can slow down write operations (INSERT, UPDATE, DELETE). Only index columns that are frequently used in WHERE clauses, JOIN conditions, and as sorting keys. Query Optimization Use SELECT Statements Efficiently : SELECT Only Necessary Columns : Avoid using SELECT * ; specify only ...
Post a Comment
Read more

Power BI tenant settings and admin portal

As of my last update, Power BI offers a dedicated admin portal for managing settings and configurations at the tenant level. Here's an overview of Power BI tenant settings and the admin portal: 1. Power BI Admin Portal: Access : The Power BI admin portal is accessible to users with admin privileges in the Power BI service. URL : You can access the admin portal at https://app.powerbi.com/admin-portal . 2. Tenant Settings: General Settings : Configure general settings such as tenant name, regional settings, and language settings. Tenant Administration : Manage user licenses, permissions, and access rights for Power BI within the organization. Usage Metrics : View usage metrics and reports to understand how Power BI is being used across the organization. Service Health : Monitor the health status of the Power BI service and receive notifications about service incidents and outages. Audit Logs : Access audit logs to track user activities, access requests, and administrative actions wit...
Post a Comment
Read more

DAX UPPER Function

The DAX UPPER function in Power BI is used to convert all characters in a text string to uppercase. This function is useful for standardizing text data, ensuring consistency in text values, and performing case-insensitive comparisons. Syntax: UPPER(<text>) <text>: The text string that you want to convert to uppercase. Purpose: The UPPER function helps ensure that text data is consistently formatted in uppercase. This can be essential for tasks like data cleaning, preparing text for comparisons, and ensuring uniformity in text-based fields. E xample: Suppose you have a table named "Customers" with a column "Name" that contains names in mixed case. You want to create a new column that shows all names in uppercase. UppercaseName = UPPER(Customers[Name]) Example Scenario: Assume you have the following "Customers" table: You can use the UPPER function as follows: Using the UPPER function, you can convert all names to uppercase: UppercaseName = ...
Post a Comment
Read more