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Articles on Trending Technologies
Technical articles with clear explanations and examples
Python program to print all the numbers divisible by 3 and 5 for a given number
This Python program finds all numbers divisible by both 3 and 5 within a given range. Numbers divisible by both 3 and 5 are also divisible by their least common multiple (LCM), which is 15. Method 1: Using Modulo Operator with AND Condition We can check if a number is divisible by both 3 and 5 using the modulo operator ? lower = int(input("Enter lower range limit: ")) upper = int(input("Enter upper range limit: ")) print(f"Numbers divisible by both 3 and 5 between {lower} and {upper}:") for i in range(lower, upper + 1): ...
Read MoreImplementation of Dynamic Array in Python
In Python, dynamic arrays automatically resize when elements are added or removed. Python's built-in list is actually a dynamic array that can grow and shrink during runtime, unlike static arrays with fixed sizes. Understanding Mutable vs Immutable Objects Python objects fall into two categories ? Mutable: Lists, sets, and dictionaries can be modified after creation Immutable: Numbers, strings, and tuples cannot be changed after creation Python Lists as Dynamic Arrays Let's see how Python lists work as dynamic arrays ? # Create an empty list numbers = [] print(f"Type: {type(numbers)}") print(f"Initial ...
Read MoreGeographical plotting using Python plotly
Plotly is a powerful Python library for creating interactive geographical visualizations. It provides tools to create choropleth maps, scatter plots on maps, and other geographical charts that help visualize data across different regions. Installing Required Libraries First, install the necessary libraries for geographical plotting ? pip install plotly pandas Creating a Basic Choropleth Map A choropleth map uses different colors to represent data values across geographical regions. Here's how to create one for US states ? import plotly.graph_objects as go import plotly.express as px # Sample data for US states ...
Read MoreExploratory Data Analysis in Python
Exploratory Data Analysis (EDA) is the critical first step in any data analysis project. It helps us understand our dataset's structure, identify patterns, and uncover relationships between variables before applying machine learning algorithms. What EDA Helps Us Achieve EDA provides valuable insights by helping us to − Gain insight into the dataset's characteristics Understand the underlying data structure Extract important parameters and relationships between variables Test underlying assumptions about the data Loading and Exploring the Dataset Let's perform EDA using the Wine Quality dataset from UCI Machine Learning Repository. We'll start by loading ...
Read MorePlotting Google Map using gmplot package in Python?
The gmplot library allows you to plot geographical data on Google Maps and save it as HTML files. It provides a matplotlib-like interface to generate interactive maps with markers, polygons, heatmaps, and other visualizations. Installation Install gmplot using pip if it's not already installed − pip install gmplot Creating a Basic Map To create a basic map, specify the latitude, longitude, and zoom level − # Import gmplot library import gmplot # Create map centered at specific coordinates # Parameters: latitude, longitude, zoom_level gmap = gmplot.GoogleMapPlotter(17.438139, 78.39583, 18) # ...
Read MoreSimple registration form using Python Tkinter
Tkinter is a Python library for developing GUI (Graphical User Interfaces). It comes as a standard package with Python 3.x, so no additional installation is required. This tutorial shows how to create a registration form using Tkinter widgets. Creating a Simple GUI Application Let's start by creating a basic window with a button − from tkinter import * from tkinter import ttk window = Tk() window.title("Welcome to TutorialsPoint") window.geometry('325x250') window.configure(background="gray") ttk.Button(window, text="Hello, Tkinter").grid() window.mainloop() This code creates a simple window with the following components − Tk() − Creates the main window ...
Read MorePython Vs Ruby, which one to choose?
When choosing between Python and Ruby, developers often wonder which language suits their needs better. Both are interpreted, object-oriented languages with strong community support, but they have different philosophies and strengths. Language Overview Comparison Here's a comprehensive comparison of Python vs Ruby across key aspects ? Aspect Python Ruby Created 1991 by Guido Van Rossum 1995 by Yukihiro Matsumoto Philosophy More direct and explicit"There should be one obvious way to do it" More magical and flexible"There's more than one way to do it" Purpose Emphasizes productivity ...
Read MoreBasics of Discrete Event Simulation using SimPy in Python
SimPy (rhymes with "Blimpie") is a Python package for process-oriented discrete-event simulation. It allows you to model real-world systems like queues, networks, and resource allocation scenarios. Installation The easiest way to install SimPy is via pip ? pip install simpy To upgrade an existing installation ? pip install -U simpy Note: You need Python 2.7 or above. For Linux/Unix/MacOS, you may need root privileges to install SimPy. To verify the installation, open a Python shell and import simpy ? import simpy print("SimPy installed successfully!") ...
Read MoreFinding modules used by a Python script (modulefinder)
The ModuleFinder class in Python's modulefinder module can determine the set of modules imported by a script. This module provides both a command line interface and programmatic interface for analyzing module dependencies. Sample Script for Testing For demonstration, let's create a test script that imports various modules − # modfinder.py import hello try: import trianglebrowser import nomodule, mymodule except ImportError: pass Command Line Interface Use the module from command line to display modules found and missing − python -m ...
Read MorePython Garbage Collector interface (gc)
Automatic garbage collection is one of the important features of Python. The garbage collector mechanism attempts to reclaim memory occupied by objects that are no longer in use by the program. Python uses a reference counting mechanism for garbage collection. The Python interpreter keeps count of how many times an object is referenced by other objects. When references to an object are removed, the count for that object is decremented. When the reference count becomes zero, the object's memory is reclaimed. Normally this mechanism is performed automatically. However, it can be controlled manually if needed. The gc module ...
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