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Articles by Vikram Chiluka
Page 5 of 22
How to perform accurate Decimal Calculations using Python?
Floating-point arithmetic in Python can introduce precision errors when performing decimal calculations. This article explores two methods to achieve accurate decimal calculations: using the decimal module and the math.fsum() function. The Problem with Floating-Point Arithmetic Standard floating-point numbers cannot accurately represent all decimal values due to IEEE 754 standard limitations. This leads to unexpected calculation errors ? x = 4.2 y = 3.1 # printing the sum of both variables print("x + y =", x + y) # checking if the sum equals 7.3 print((x + y) == 7.3) x + ...
Read MoreHow to Manipulating Pathnames using Python?
In this article, we will learn how to manipulate pathnames using Python's os.path module. Python provides several built-in functions to work with file paths, making it easy to extract components, join paths, and handle different operating systems. We will explore the following pathname manipulation techniques ? Getting the main filename from the file path Getting the directory name from the file path Joining path components together Expanding the user's home directory Splitting the file extension from the file path Getting the Main Filename The os.path.basename() function returns the last component (filename) from ...
Read MoreHow to Iterate over Tuples in Dictionary using Python
In this article, we will learn how to iterate over tuples stored as values in a Python dictionary. Dictionaries can contain tuples as values, and we often need to access and process these tuple elements efficiently. Methods Used The following are the various methods used to accomplish this task ? Using Direct Indexing Using dictionary.values() Method Using dictionary.items() Method Tuples are immutable, ordered collections in Python. Unlike lists, tuples have a fixed length and cannot be modified after creation, making them ideal for storing related data that shouldn't change. Method 1: Using Direct ...
Read MoreHow to get the file name from the file path in Python?
When working with file paths in Python, you often need to extract just the filename from a complete file path. Python provides several methods to accomplish this task using different modules. Method 1: Using os.path.basename() The most common and straightforward approach is using the os.path.basename() function, which returns the final component of a file path ? import os # Input file path file_path = 'C:/Users/Documents/tutorial.pdf' # Extract filename using os.path.basename() filename = os.path.basename(file_path) print("The filename is:", filename) The filename is: tutorial.pdf Method 2: Using os.path.split() The split() function ...
Read MoreHow to Get a Negation of a Boolean in Python?
In this article, we will learn how to get a negation of a Boolean in Python. In Python, the Boolean datatype is a built-in data type that represents True or False values. For example, 520 is False. Boolean negation means converting True to False and False to True. The following are the various methods to accomplish this task ? Using the "not" operator Using the "~" operator Using operator module Using arithmetic subtraction from 1 Using NumPy functions Method 1: Using the "not" Operator The not operator is the most common and pythonic ...
Read MoreHow to generate IP addresses from a CIDR address using Python?
In this article, we will learn how to generate IP addresses from a CIDR (Classless Inter-Domain Routing) address using Python's built-in ipaddress module. CIDR notation represents a network address and its subnet mask, allowing us to define IP address ranges efficiently. What is CIDR Notation? CIDR notation combines an IP address with a prefix length (e.g., 192.168.1.0/24). The number after the slash indicates how many bits are used for the network portion, determining the range of available host addresses. Using IPv4Network The ipaddress.ip_network() function creates a network object from CIDR notation, allowing us to iterate through ...
Read MoreHow to find Profit or loss using Python when CP of N items is equal to SP of M
In this article, we will learn a Python program to find the profit or loss when the cost price (CP) of N items is equal to the selling price (SP) of M items. When CP of N items equals SP of M items, we can calculate profit or loss percentage using a mathematical relationship between these quantities. Understanding the Problem Given that Cost Price of N items = Selling Price of M items, we need to determine whether there's a profit or loss and calculate the percentage. What is Cost Price (CP)? Cost price is ...
Read MoreHow to Determine Last Friday's Date using Python?
In this article, we will learn how to determine last Friday's date using Python. This is useful for scheduling, reporting, and date-based calculations in business applications. Methods Used The following are the various methods to accomplish this task − Using datetime module Using dateutil package Method 1: Using Datetime Module This approach uses Python's built-in datetime module to calculate the previous Friday by determining the current weekday and counting backwards. Algorithm Following are the steps to perform this task − Import datetime and timedelta from datetime module Create a ...
Read MoreHow to detect whether a Python variable is a function?
In this article, we will learn how to detect whether a Python variable is a function. Sometimes, it's essential to figure out whether a Python variable is a function, especially when working with large codebases or dynamically generated code. Methods to Check if a Variable is a Function The following are the methods to check whether a Python variable is a function − Using the built-in callable() function Using the isfunction() of the inspect module Using the type() function Using the built-in hasattr() function Using the isinstance() function Using the callable() Function The ...
Read MoreHow to create a dictionary of sets in Python?
A dictionary of sets in Python stores sets as values for dictionary keys, automatically eliminating duplicates. This structure is useful for grouping unique items under different categories. Using Dictionary Literals The simplest way is to create a dictionary with sets as values using curly braces ? # Creating a dictionary with sets as values employee_data = { 'Employee_ID': {10, 11, 12, 14, 15}, 'Employee_Age': {25, 30, 40, 35, 28} } print("Dictionary of sets:") print(employee_data) Dictionary of sets: {'Employee_ID': {10, 11, 12, 14, 15}, 'Employee_Age': ...
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