Skip to main content

Python String Operations

Python provides a rich set of operations to work with strings. Here are some common string operations along with examples:

1. Concatenation (+)

Combines two or more strings into one.


2. Repetition (*)

Repeats a string a specified number of times.


3. Accessing Characters (Indexing)

Accesses individual characters in a string using zero-based indexing.


4. Slicing

Extracts a substring from a string.


5. Length of a String (len())

Returns the length of the string.


6. Changing Case

Changes the case of the string.


7. Striping Whitespace

Removes leading and trailing whitespace.


8. Splitting and Joining

Splits a string into a list of substrings and joins a list of strings into one.


9. Finding Substrings

Finds the index of a substring and checks for the presence of a substring.


10. Replacing Substrings

Replaces all occurrences of a substring with another substring.


11. String Formatting

Formats strings using various methods.

Using % Operator:


Using format() Method:


Using f-Strings (Python 3.6+):



These examples cover the fundamental string operations in Python, which allow you to manipulate and interact with strings efficiently.










Comments

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 ...

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 = ...

TechUplift: Elevating Your Expertise in Every Click

  Unlock the potential of data with SQL Fundamental: Master querying, managing, and manipulating databases effortlessly. Empower your database mastery with PL/SQL: Unleash the full potential of Oracle databases through advanced programming and optimization. Unlock the Potential of Programming for Innovation and Efficiency.  Transform raw data into actionable insights effortlessly. Empower Your Data Strategy with Power Dataware: Unleash the Potential of Data for Strategic Insights and Decision Making.