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Articles by Vikram Chiluka
Page 6 of 22
How to capture SIGINT in Python?
In this article, we will learn how to capture SIGINT in Python and what has to be done after capturing it. SIGINT is a signal sent when the user presses Ctrl+C (or Ctrl+F2 on Windows) to interrupt a running program. When the signal module receives signals, it performs specific actions. It can capture the user's keyboard interruption through SIGINT and allow you to define custom behavior instead of just terminating the program. Required Modules The following modules are needed for signal handling in Python − Signal Module The signal module provides mechanisms to handle asynchronous ...
Read MoreHow to Align Text Strings using Python?
In this article, we will learn how to align text strings using Python. Python provides multiple ways to align text: f-strings with alignment specifiers and built-in string methods like ljust(), rjust(), and center(). Python's text alignment feature helps create well-formatted output. When data varies in length, proper alignment makes output more readable and professional-looking. You can specify left, right, or center alignment with a reserved width for consistent formatting. F-String Alignment Syntax F-strings use alignment symbols followed by width numbers ? − Right alignment ^ − Center alignment Left Alignment using F-strings ...
Read MoreFind the maximum element of each row in a matrix using Python
In this article, we will learn Python programs to find the maximum element of each row in a matrix. We'll explore three efficient approaches to solve this common problem. Assume we have taken an NxN input matrix. We will now find the maximum element of each row in an input matrix using the below methods. Methods Used The following are the various methods to accomplish this task − Using Nested For Loops Using max() function Using map() and lambda functions Method 1: Using Nested For Loops Algorithm Following are the steps ...
Read MoreFind the least frequent element in an array using Python
Finding the least frequent element in an array is a common programming problem. Python offers several approaches: sorting with linear traversal, hashing with dictionaries, and using the Counter class from the collections module. Methods Overview The following methods can accomplish this task − Using sort() function (Naive Approach) Using Hashing with Dictionary Using Counter() Function Method 1: Using sort() Function This approach first sorts the array, then traverses it linearly to count frequencies. The time complexity is O(n log n) due to sorting. Example The following program returns the least frequent ...
Read MoreDecoding and encoding hexadecimal digitals using Python
In this article, we will learn how to decode and encode hexadecimal digits using Python. Python provides built-in modules like binascii and base64 that make hexadecimal conversion straightforward. What are Hexadecimal Digits? Hexadecimal is a base-16 number system that uses digits 0-9 and letters A-F to represent values. It's commonly used in programming to represent binary data in a more readable format. Method 1: Using binascii Module The binascii module provides functions to convert between binary and different ASCII-encoded binary representations. It's ideal when you need to encode or decode raw hex digit strings. Encoding ...
Read MoreDecimal Equivalents of 1/2, 1/3, . . . ,1/10 in Python
In this article, we will learn Python programs that calculate and display the decimal equivalents of fractions from 1/2, 1/3, 1/4, up to 1/10. We'll explore three different approaches to accomplish this task. Method 1: Basic Division for Single Fraction We can calculate the decimal equivalent of 1/2 using simple division. This demonstrates the basic concept before scaling to multiple fractions ? # Calculate decimal equivalent of 1/2 numerator = 1 denominator = 2 result = numerator / denominator print(f"1/{denominator} = {result}") 1/2 = 0.5 Method 2: Using range() Function ...
Read MoreCheck if the matrix is lower triangular using Python
In this article, we will learn a Python program to check if a matrix is lower triangular. A lower triangular matrix is a square matrix where all elements above the main diagonal are zero. What is a Lower Triangular Matrix? A square matrix is called lower triangular if all entries above the main diagonal are zero. Elements on or below the main diagonal can be any value. Example of Lower Triangular Matrix 1 0 0 0 2 3 0 0 1 3 7 0 0 4 8 4 In ...
Read MoreCalculating profit or loss using Python
In this article, we will learn how to create Python programs to calculate profit or loss by comparing cost price and selling price. We'll explore two different approaches to solve this business problem. Understanding Cost Price, Selling Price, Profit and Loss Before diving into the code, let's understand the basic concepts ? The cost price (CP) is the amount paid to purchase a product. The selling price (SP) is the amount received when selling that product. Profit occurs when selling price is greater than cost price ? Profit = Selling Price - Cost Price ...
Read MoreBreaking a Set into a list of sets using Python
In this article, we will learn how to break a Set into a list of sets in Python, where each element of the original set becomes a separate single-element set. A set is an unordered collection of unique elements. Sometimes we need to convert each element into its own set within a list structure. We'll explore three different approaches to accomplish this task ? Methods Used The following are the various methods used to accomplish this task ? Using For Loop and append(), add() functions Using Python map() & lambda functions Using List Comprehension ...
Read MoreAdding a data table to the figure using Python
In this article, we will learn how to add a data table to the figure using Python. Although matplotlib is primarily a plotting library, it also assists us with minor tasks when making a chart, such as having a nice data table alongside our attractive visuals. It is critical to understand why we are adding a table to a plot. The primary goal of plotting data visually is to clarify the otherwise incomprehensible data values. However, properly chosen, perhaps summarized, or highlighted values from the entire dataset might identify essential areas of the chart or highlight important values ...
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