- Python Introduction
- Python - Overview
- Python - History and Evolution
- Python - Significance in Modern Development
- Python - Understanding Python's design philosophy and the Zen of Python
- Python - Installing Python and Setting up the Development Environment
- Python - Setting Up the Development Environment
- Python - Basic Syntax and Execution of Python Scripts
- Python - Getting Started to Python
- Python Basics
- Python - Control flow (If statements, Loops - For and While)
- Python - Operators (Arithmetic, Comparison, Logical, Assignment)
- Python - Arithmetic Operators
- Python - Comparison Operators
- Python - Logical Operators
- Python - Assignment Operators
- Python - Integers (int)
- Python - Floats (float)
- Python - Strings (str)
- Python - Loop Control Statements
- Python - Loops
- Python - If Statements
- Python - Python's built-in functions
- Python - Using Built-in Functions
- Python - Examples of Common Built-in Functions
- Python Data Structures
- Python - Understanding Lists, Tuples, Sets, and Dictionaries
- Python - Lists
- Python - Tuples
- Python - Sets
- Python - Dictionaries
- Python - Operations on Data Structures (Indexing, Slicing, Appending, Removing)
- Python - Advanced Usage
- Python - Advanced Data Manipulation Techniques (List Comprehension, Dictionary comprehension)
- Python - List Comprehensions
- Python - Dictionary Comprehensions
- Python Functions and Modules
- Python - Defining a Function
- Python - Function arguments and return values
- Python - Function Arguments
- Python - Return Values
- Python - Defining and calling functions
- Python - Using the Return Value
- Python - Calling the Function with Arguments
- Python - Creating a Module
- Python - Importing a Module
- Python - Creating a Package
- Python - Importing from a Package
- Python - Creating and importing modules and packages
- Python - Introduction to Python standard libraries.
- Python - File and Directory Access
- Python - Internet Data Handling
- Python - Networking
- Python - Data Persistence and Serialization
- Python - Data Compression and Archiving
- Python - Concurrent Execution
- Python - Mathematics
- Python - Date and Time
- Python - Development Tools
- Python Object-Oriented Programming
- Python - Understanding classes and objects
- Python - Understanding Classes
- Python - Understanding Objects
- Python - Inheritance, encapsulation, and polymorphism
- Python - The constructor, class variables, and instance variables
- Python - Magic methods and their importance
- Python Error Handling and Debugging
- Python - Exceptions
- Python - Working Code Sample Demonstrating Both
- Python - Handling exceptions with try-except blocks
- Python - Syntax Errors versus Exceptions
- Python - Using logging for Debugging and Error tracking
- Python Working with Files
- Python - Reading from and writing to files
- Python - Writing to a File
- Python - Reading from a File
- Python - Combined Example of Reading and Writing
- Python - Understanding file handling modes
- Python - Common File Handling Modes
- Python - Working with different file formats (text, CSV, JSON)
- Python - Working with Text Files
- Python - Working with JSON Files
- Python - Working with CSV Files
- Python Web Scraping
- Python - Introduction to Beautiful Soup and requests library
- Python - Beautiful Soup
- Python - Requests Library
- Python - Legality of Web Scraping
- Python - Overview of web scraping and its legality
- Python - Combined Example: Using Both Requests and Beautiful Soup
- Python - Conclusion
Python - Strings (str)
String Data Type in Python
In Python, strings are collections of Unicode characters. The characters that can be included include spaces, symbols, numerals, and letters. A string can be in both single (' single quotes ') and double quotes ("double quotes").
Strings are fundamental data types and they are used to represent text data.
Following is the basic declaration of String (str):
name = "letsupdateskills" # An example of a stringBasic Operations with Strings
Concatenate String:
In Python, we can do concatenation of strings using the (+) operator.
str1 = "letsUpdate"
str2 = "Skills"
res = str1+str2
print (res) # letsUpdateSkillsRemove a Substring:
If you want to remove a substring from a string use the Python replace() method.
str1 = "Hello World"
str2 = "World"
result = str1.replace(str2, "")
print(result) # Hello Find the difference between two strings:
To find the difference between two strings use the 'set' data structure. It helps to find the unique character in each string.
str1 = "Hello"
str2 = "World"
set1 = set(str1)
set2 = set(str2)
diff = set1 - set2
print(diff) # {'H', 'e', 'l'}Type Conversion and Casting of Floats
In Python, type conversion is the process of changing data types from one type to another. Here, we are converting strings to other data types.
Converts str to int:
str_num = "1234"
int_num = int(str_num) # double quotes is discarded.
print(int_num) # 1234Converts str to float:
str_num = "123.45"
float_num = float(str_num)
print(float_num) # 123.45Converts str to boolean:
str_bool = "True"
2bool_val = bool(str_bool)
3print(bool_val) # TrueProperties of The Python String
The following are the properties of the Python string:
Python strings are immutable once a string is created its content can’t be changed.
Python strings are the sequence of characters that can be indexed, sliced, and iterated over.
Python strings are Unicode, which means they can represent characters from any language or script.
Strings have length we can get the length of a string using the 'len()' function.
In summary, Python string is the basic data type that represents text data and provides a wide variety of functions and methods for manipulating and processing text data.
