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Python Program to Compare two strings lexicographically

Rohan Singh
Rohan Singh
Updated on 27-Mar-2026 5K+ Views

We can compare two strings lexicographically in Python using comparison operators like , ==, =. Lexicographic comparison is the process of comparing two strings based on their alphabetical order, similar to how words are arranged in a dictionary. Algorithm A generalized algorithm to compare two strings lexicographically is as follows − Initialize two strings with the values to be compared. Compare the first character of both strings. If they are equal, move to the next character and repeat. If they are not equal, proceed to step 3. Determine which character comes first alphabetically. The string with ...

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How to Save Pandas Dataframe as gzip/zip File?

Rohan Singh
Rohan Singh
Updated on 27-Mar-2026 7K+ Views

Pandas DataFrames can be saved in compressed gzip/zip format to reduce file size and improve storage efficiency. Python provides multiple approaches using gzip, zipfile modules, and built-in compression parameters in pandas methods. Method 1: Using to_csv() with Built-in Compression The simplest approach is using pandas' built-in compression parameter with to_csv() ? Saving as Gzip File import pandas as pd # Create a DataFrame data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35], 'Salary': [50000, 60000, 70000]} df ...

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How to Run Python Flask App Online using Ngrok?

Rohan Singh
Rohan Singh
Updated on 27-Mar-2026 6K+ Views

Ngrok is a tool that creates a secure tunnel between your local machine and the internet. It allows developers to expose their local web server to the internet without deploying it to a remote server. Python Flask lets you create web applications locally, but with Ngrok, you can showcase them online instantly. Step 1: Install Ngrok Download Ngrok from its official website (https://ngrok.com/download) for your operating system (Windows/macOS/Linux). Extract the archive to your preferred folder location. Step 2: Create a Flask App Create a new Python file called app.py with a simple Flask application ? ...

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How to run multiple Python files in a folder one after another?

Rohan Singh
Rohan Singh
Updated on 27-Mar-2026 12K+ Views

The subprocess module can be used to run multiple Python files in a folder one after another. Running multiple files sequentially is required in various situations like processing large datasets, performing complex analysis, or automating workflows. In this article, we will discuss different methods for running multiple Python files in a folder sequentially with practical examples. Method 1: Using subprocess Module The subprocess module provides a powerful way to spawn new processes and run external commands. Here's how to use it for running Python files sequentially ? Step 1: Create Sample Python Files First, let's create ...

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How to rotate the X label using Pygal?

Rohan Singh
Rohan Singh
Updated on 27-Mar-2026 346 Views

Pygal is a Python library that is used to create interactive, customizable charts and graphs. We can rotate the x-axis label using the x_label_rotation attribute in the Pygal module. The rotation of the x-axis label makes the chart easier to read and comprehend when dealing with long labels or limited space. Algorithm A general algorithm for rotating the x label using pygal is given below − Import the Pygal module. Create a chart object (e.g., Bar, Line, Pie, etc.). Add data to the chart ...

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How to Retrieve an Entire Row or Column of an Array in Python?

Rohan Singh
Rohan Singh
Updated on 27-Mar-2026 8K+ Views

Python provides various methods to retrieve entire rows or columns from arrays. We can use slice notation, NumPy functions, list comprehension, and for loops. In this article, we'll explore all these methods with practical examples. Using Slice Notation Slice notation extracts subsets of elements using the : notation. To retrieve entire rows or columns, we specify : for the dimension we want completely ? Syntax array_name[row_index, column_index] # For entire row: array_name[row_index, :] # For entire column: array_name[:, column_index] Example Here we create a 2D array and retrieve the second ...

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How to reshape Pandas Series?

Rohan Singh
Rohan Singh
Updated on 27-Mar-2026 3K+ Views

A Pandas Series is a one-dimensional labeled array that can hold various data types. Reshaping a Series means changing its structure or format to suit different analysis needs. Python provides several methods to reshape Series data including transpose, reshape, melt, and pivot operations. Using the Transpose Attribute (.T) The transpose attribute switches rows and columns. For a Series, this operation doesn't change much since it's already one-dimensional ? import pandas as pd # Create a Series series = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd']) print("Original Series:") print(series) # Transpose the Series series_transposed ...

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How To Track ISS (International Space Station) Using Python?

Tushar Sharma
Tushar Sharma
Updated on 27-Mar-2026 833 Views

Tracking the International Space Station (ISS) in real-time is an exciting project that combines space exploration with Python programming. This article demonstrates how to fetch ISS location data using APIs and visualize it on an interactive map using the folium library. Installing Required Libraries Before we start tracking the ISS, we need to install two essential libraries: requests for making API calls and folium for creating interactive maps. pip install requests folium Fetching ISS Location Data The Open Notify API provides real-time ISS location data in JSON format. Let's create a function to ...

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How to Throttle API with Django Rest Framework

Tushar Sharma
Tushar Sharma
Updated on 27-Mar-2026 749 Views

Django Rest Framework (DRF) provides powerful throttling mechanisms to control the rate at which clients can make API requests. Throttling helps prevent API abuse, protects server resources, and ensures fair usage among all clients. Built-in Throttling Classes DRF offers several built-in throttling classes for different scenarios: AnonRateThrottle: Limits requests from anonymous (unauthenticated) clients within a specific time frame. UserRateThrottle: Restricts requests from authenticated users within a given time interval. ScopedRateThrottle: Allows custom throttling rates for different API sections using scopes. Configuring Throttling in Settings To configure throttling for your DRF API, add the ...

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How to test Typing Speed using Python?

Tushar Sharma
Tushar Sharma
Updated on 27-Mar-2026 1K+ Views

Creating a typing speed test in Python is a fun way to measure and improve your typing skills. This tutorial will show you how to build a simple program that measures your words per minute (WPM) and accuracy. Required Modules We need two built-in Python modules for our typing speed test ? import time import random Setting Up Test Sentences First, let's create a list of sentences to type during the test ? sentences = [ "The quick brown fox jumps over the lazy dog.", ...

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