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Programming Articles
Page 578 of 2547
Basic Tuples Operations in Python
Tuples respond to the + and * operators much like strings; they mean concatenation and repetition here too, except that the result is a new tuple, not a string. In fact, tuples respond to all of the general sequence operations we used on strings in the prior chapter − Basic Tuple Operations Python Expression Results Description ...
Read MoreDelete Tuple Elements in Python
Tuples are immutable in Python, meaning you cannot delete individual elements from an existing tuple. However, you can create a new tuple with unwanted elements removed, or delete the entire tuple variable using the del statement. Why You Cannot Delete Individual Elements Tuples are immutable data structures, so operations like del tuple[index] will raise a TypeError ? subjects = ('physics', 'chemistry', 'math', 'biology') # This will raise an error try: del subjects[1] except TypeError as e: print(f"Error: {e}") Error: 'tuple' object doesn't support item ...
Read MoreBuilt-in List Functions & Methods in Python
Python provides numerous built-in functions and methods to work with lists efficiently. These functions help perform common operations like finding length, maximum/minimum values, and converting sequences to lists. Built-in List Functions Python includes the following list functions ? Sr.No Function with Description ...
Read MoreBasic List Operations in Python
Lists are sequence objects in Python that support the same fundamental operations as strings. They respond to the + and * operators for concatenation and repetition, except the result is a new list rather than a string. Lists support all general sequence operations, making them versatile for data manipulation and processing tasks. Length Operation Use len() to get the number of elements in a list − numbers = [1, 2, 3] print("Length of list:", len(numbers)) Length of list: 3 Concatenation with + Operator Combine two lists using the + ...
Read MoreBuilt-in String Methods in Python
Python provides a rich set of built-in string methods for manipulating and working with text data. These methods cover everything from case conversion and formatting to searching and validation. Case Conversion Methods Methods for changing the case of characters in strings ? text = "hello WORLD" print("Original:", text) print("capitalize():", text.capitalize()) print("upper():", text.upper()) print("lower():", text.lower()) print("title():", text.title()) print("swapcase():", text.swapcase()) Original: hello WORLD capitalize(): Hello world upper(): HELLO WORLD lower(): hello world title(): Hello World swapcase(): HELLO world String Validation Methods Methods that return True or False based on string content ...
Read MoreUnicode String in Python
In Python, Unicode strings allow you to work with characters from various languages and special symbols. While Python 2 required the u prefix for Unicode strings, Python 3 treats all strings as Unicode by default. Unicode in Python 3 In Python 3, all strings are Unicode by default, so no special prefix is needed ? # All strings are Unicode in Python 3 text = 'Hello, world! 你好 مرحبا' print(text) print(type(text)) Hello, world! 你好 مرحبا Working with Unicode Characters You can use Unicode escape sequences to represent special characters ...
Read MoreTriple Quotes in Python
Python's triple quotes allow strings to span multiple lines, including verbatim newlines, tabs, and any other special characters. This feature is particularly useful for multi-line strings, docstrings, and preserving text formatting. The syntax for triple quotes consists of three consecutive single (''') or double (""") quotes. Syntax # Using triple double quotes text = """Multi-line string content""" # Using triple single quotes text = '''Multi-line string content''' Basic Multi-line String Example Triple quotes preserve all whitespace and special characters within the string ? para_str = """This is a ...
Read MoreString Special Operators in Python
Python provides several special operators for working with strings. These operators allow you to concatenate, repeat, slice, and format strings efficiently. Let's explore each operator with practical examples using string variables a = 'Hello' and b = 'Python'. String Concatenation (+) The + operator joins two or more strings together ? a = 'Hello' b = 'Python' result = a + b print(result) print(a + ' ' + b) HelloPython Hello Python String Repetition (*) The * operator creates multiple copies of a string ? a = 'Hello' ...
Read MoreUpdating Strings in Python
You can "update" an existing string by (re)assigning a variable to another string. The new value can be related to its previous value or to a completely different string altogether. String Reassignment Since strings are immutable in Python, you cannot modify them directly. Instead, you create a new string ? var1 = 'Hello World!' var1 = 'Hello Python!' print("Updated String:", var1) Updated String: Hello Python! Combining Parts of Original String You can create a new string by combining parts of the original string with new content ? var1 ...
Read MoreAccessing Values of Strings in Python
Python does not support a character type; these are treated as strings of length one, thus also considered a substring. To access individual characters or substrings, use square brackets with the index or slice notation. Accessing Individual Characters Use square brackets with an index to access a single character. Python uses zero-based indexing ? var1 = 'Hello World!' var2 = "Python Programming" print("var1[0]:", var1[0]) print("var1[6]:", var1[6]) print("var2[0]:", var2[0]) print("var2[-1]:", var2[-1]) # Last character var1[0]: H var1[6]: W var2[0]: P var2[-1]: g Accessing Substrings with Slicing Use slice notation ...
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