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Articles by Tamoghna Das
Page 3 of 3
Create a GUI for weather forecast using weatherstack API in python
Weather forecasting is essential for daily planning and decision-making. The weatherstack API provides accurate weather data that can be integrated into Python applications. In this tutorial, we will create a graphical user interface (GUI) using tkinter to display real-time weather information. Prerequisites Before starting, ensure you have the following ? Python 3.6 or higher installed tkinter (usually comes with Python installation) requests library: pip install requests A free weatherstack API key from weatherstack.com Setting Up the Weather GUI Application Step 1: Import Required Libraries import tkinter as tk from tkinter import ...
Read MoreCreate a grouped bar plot in Matplotlib
Matplotlib is a powerful data visualization library in Python that enables you to create various types of charts and plots. A grouped bar plot is particularly useful for comparing multiple categories across different groups, allowing you to visualize relationships between categorical variables side by side. What is a Grouped Bar Plot? A grouped bar plot displays multiple bars for each category, grouped together to compare different data series. Each group represents a category, and within each group, individual bars represent different data series or variables. Basic Grouped Bar Plot Here's how to create a simple grouped ...
Read MoreCreate a gauss pulse using scipy.signal gausspulse
What are the uses of gauss pulse? Gaussian pulses are widely used in signal processing, particularly in radar, sonar, and communications. This pulse is a pulse that has a Gaussian shape in the time domain, which makes it useful for detecting small signals that may be obscured by noise. In this tutorial, we will explore how to generate a Gaussian pulse using the scipy.signal.gausspulse function. What is a Gaussian Pulse? Gaussian pulses are a type of function that has a Gaussian-shaped envelope in the time domain. The Gaussian function is a bell-shaped curve that is symmetrical around its peak. It ...
Read MoreCreating a Dataframe from Pandas series
In data science, data is represented in various formats, such as tables, graphs, or any other types of structures. One of the most common data structures used to represent data is a DataFrame, which can be created using an array or a series. In this document, we will discuss how to create DataFrames from a Pandas Series object. Importance of Dataframe in data science! Dataframe is a two-dimensional table-like data structure that is widely used in data science. It is a very important tool for data manipulation, data analysis, and data visualization. Here are some of the key advantages of ...
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