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Articles by Kiran P
Page 2 of 11
How to Visualize API results with Python
One of the biggest advantages of writing an API is to extract current/live data. Even when data is rapidly changing, an API will always get up-to-date information. API programs use specific URLs to request certain data, like the top 100 most played songs of 2020 on Spotify or YouTube Music. The requested data is returned in easily processed formats like JSON or CSV. Python allows users to make API calls to almost any URL. In this tutorial, we'll extract API results from GitHub and visualize them using charts. Prerequisites First, install the required packages ? ...
Read MoreHow to implement Multithreaded queue With Python
A multithreaded queue is a powerful pattern for distributing work across multiple threads. Python's queue module provides thread-safe queue implementations that allow multiple threads to safely add and remove tasks. Understanding Queues A queue is a First In, First Out (FIFO) data structure. Think of it like a grocery store checkout line — people enter at one end and exit from the other in the same order they arrived. Key queue operations: enqueue — adds elements to the end dequeue — removes elements from the beginning FIFO — first element added is first to be ...
Read MoreHow to scan for a string in multiple document formats (CSV, Text, MS Word) with Python?
Searching for strings across multiple document formats is a common task in data processing and content management. Python provides excellent libraries to handle CSV, text, and MS Word documents efficiently. Required Packages Install the following packages before starting − pip install beautifulsoup4 python-docx CSV File Search Function The CSV search function uses the csv.reader module to iterate through rows and columns − import csv def csv_stringsearch(input_file, input_string): """ Function: search a string in csv files. args: input file, ...
Read MoreHow to make the argument optional in Python
Python functions and command-line scripts often need flexible parameter handling. Optional arguments allow you to provide default values when parameters aren't supplied, making your code more user-friendly and robust. Optional Function Arguments In Python functions, you can make arguments optional by providing default values ? def greet(name="World", greeting="Hello"): return f"{greeting}, {name}!" # Using default values print(greet()) # Using one argument print(greet("Alice")) # Using both arguments print(greet("Bob", "Hi")) Hello, World! Hello, Alice! Hi, Bob! Optional Command-Line Arguments with argparse The argparse module handles optional ...
Read MoreHow to combine multiple graphs in Python
Python's Matplotlib library allows you to combine multiple graphs in a single figure to create comprehensive visualizations. You can use subplots to display different charts vertically or horizontally, and dual axes to overlay different data types on the same plot. Preparing Sample Data First, let's prepare sample data for mobile phone sales across different years ? import matplotlib.pyplot as plt # Sample mobile phone sales data (in millions) mobile_brands = ['iPhone', 'Galaxy', 'Pixel'] # Sales data: (Year, iPhone, Galaxy, Pixel) units_sold = ( ('2016', 12, 8, 6), ...
Read MoreHow to match text at the start or end of a string in Python?
Checking if a string starts or ends with specific text patterns is a common task in Python programming. The startswith() and endswith() methods provide elegant solutions for pattern matching at string boundaries. Using startswith() Method The startswith() method returns True if the string begins with the specified prefix ? Example text = "Is USA colder than Australia?" print(f"Starts with 'Is': {text.startswith('Is')}") Starts with 'Is': True Example filename = "Hello_world.txt" print(f"Starts with 'Hello': {filename.startswith('Hello')}") Starts with 'Hello': True Example site_url = 'https://www.something.com' ...
Read MoreHow to Search and Replace text in Python?
Python provides several methods to search for and replace text patterns in strings. For simple literal patterns, use str.replace(). For complex patterns, use the re module with regular expressions. Basic Text Searching Let's start by creating a sample text and exploring basic search methods ? def sample(): yield 'Is' yield 'USA' yield 'Colder' yield 'Than' yield 'Canada?' text = ' '.join(sample()) print(f"Output {text}") Output Is USA Colder Than Canada? ...
Read MoreHow to Implement Priority Queue in Python?
A priority queue is a data structure where elements are processed based on their priority rather than insertion order. Python's queue module provides PriorityQueue for thread-safe priority-based processing. Basic FIFO Queue First, let's understand a regular FIFO (First In, First Out) queue where elements are processed in insertion order − import queue fifo = queue.Queue() # Put numbers into queue for i in range(5): fifo.put(i) # Get numbers from queue print("FIFO Output:") while not fifo.empty(): print(fifo.get()) FIFO Output: 0 1 2 3 ...
Read MoreHow to improve file reading performance in Python with MMAP function?
Memory mapping (MMAP) allows Python to access file data directly through the operating system's virtual memory, bypassing traditional I/O operations. This technique significantly improves file reading performance by eliminating system calls and buffer copying. How MMAP Works MMAP maps file contents directly into memory, treating them as mutable strings or file-like objects. The mmap module supports methods like read(), write(), seek(), and slice operations. Basic File Reading with MMAP Let's create a sample file and demonstrate basic MMAP usage ? import mmap # Create sample text file sample_text = """Lorem ipsum dolor sit ...
Read MoreHow to read text files using LINECACHE in Python
The linecache module in Python provides an efficient way to read specific lines from text files. It caches file contents in memory and allows random access to lines by their line number, making it ideal when you need to read multiple lines from the same file repeatedly. Key Features of linecache The linecache module offers several advantages − Memory caching: File contents are parsed and stored in memory Line indexing: Access lines directly by line number (starting from 1) Performance: Avoids repeatedly reading and parsing the same file Creating Test Data First, let's ...
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