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Articles by Atharva Shah
Page 6 of 6
Difference Between Set vs List vs Tuple
The utilization of data structures in Python presents a perplexing and convoluted method of depicting numbers, strings, and other Python objects in a collection of values. Python's built-in data structures, such as lists, tuples, and sets, are captivating and exhibit distinctive traits that differentiate them from one another. These data structures possess an extraordinary capacity to hold groups of objects, rendering them one of a kind. In this article, we will see which among the three fits best with examples. List Items can be changed, added to, or taken out of after they are made. It can also be ...
Read MoreHandling Categorical Data in Python
Data that only includes a few values is referred to as categorical data, often known as categories or levels and it is described in two ways - nominal or ordinal. Data that lacks any intrinsic order, such as colors, genders, or animal species, is represented as nominal categorical data while ordinal categorical data refers to information that is naturally ranked or ordered, such as customer satisfaction levels or educational attainment. We will go through how to handle categorical data in Python in this tutorial. Setup pip install pandas pip install scikit-learn pip install category_encoders Categorical data is often ...
Read MoreFun Fact Generator Web App in Python
Flask offers a number of features, such as database access, processing of user input, and dynamic data delivery. An effective and user-friendly online application may be made using HTML and simple Python coding. Python gives us the ability to work with data and provide consumers tailored experiences, while Flask makes it easier to create web applications. The data item is also shown in the browser using HTML. You'll have a working Fun Fact Generator web application at the conclusion of this lesson. Setup Make sure we have the necessary frameworks and libraries installed before we start. The only requirements ...
Read Morefromtimestamp() Function Of Datetime.date Class in Python
The fromtimestamp() function of the Python datetime.date class is useful for converting a timestamp into a date object. A timestamp essentially denotes the duration since the epoch (which took place on January 1, 1970, 00:00:00 UTC). To help you understand the fromtimestamp() function's practical uses, we'll go over the syntax and coding practices involved in utilizing it in this blog article. We'll also include different Python code samples. Syntax datetime.date.fromtimestamp(timestamp) The method returns a date object that represents the timestamp and only requires a single input, the timestamp value in seconds. You must use the class name to access ...
Read MoreFood Recognition Selenium using Calorie Mama API
An open-source program used to automate web browsers is called Selenium Webdriver. It offers a platform-independent testing framework for web applications on many platforms and browsers. With the use of deep learning and computer vision algorithms, the food identification API Caloriemama can recognise different foods and their nutritional values from a single photograph. In this guide, we'll look at how the Selenium Webdriver automates the process of uploading photographs and retrieving the results, making it simple for developers to include food recognition functionality into their apps and provide consumers with correct nutritional information. Setup Firefox Executable Download the ...
Read MoreHow to apply different titles for each different subplots using Plotly in Python?
Introduction Subplot creation is one of several tools for data visualization provided by the Python library Plotly. A big narrative can be broken up into multiple smaller ones using subplots. Sometimes, in order to give the main story greater depth and consistency, it may be essential to give each subplot its own title. Syntax Customizing subplot titles in plot grids is made possible through the usage of the subplot_titles parameter, which enables us to create unique titles for each plot. The make_subplots() function is essentially a factory method that allows us to establish a plot grid with a designated number ...
Read MoreHow to Annotate Matplotlib Scatter Plots?
Introduction Scatter plots are an essential tool for illustrating the connection between two continuous variables. They help us identify potential anomalies, patterns, and trends in the data. Yet, scatter charts can also be hard to interpret when there are numerous data points. If comments are made, some points of interest in a scatter plot could be easier to observe and understand. In order to make Matplotlib scatter plots more understandable, this article will examine how to annotate them. Syntax ax.annotate(text, xy, xytext=None, arrowprops=None, **kwargs) text − Text to be displayed in the annotation. xy − (x, y) coordinates ...
Read MoreHow to animate an object using the Arcade module?
Introduction Python's Arcade module allows users to build interactive animations. It has simple and straightforward documentation for making interactive games, and its object-oriented architecture makes working with animated objects simple. Wonderful Animations with Arcade Module The Arcade module in Python is a Python library for creating 2D video games and can be easily installed by pip installing the arcade package. In order to use Arcade in your Python project, you need to install the Arcade external dependency by running the command "pip install arcade" in the terminal. Let's look at two fantastic uses for this Python package. Create a ...
Read MoreHow to Adjust the Number of Ticks in Seaborn Plots?
Introduction Ticks are tiny symbols that Matplotlib uses to represent the positions of data points on both axes of a plot. They may be positioned to best fit the data range and are used to highlight certain locations on the x and y axes. Usually, ticks may be labeled to indicate the precise values they stand for. In the python package Seaborn, there are two functions, namely, xticks() and yticks() that can be used for adjusting the ticks of a given graph. Syntax To adjust the number of ticks in Seaborn plots, we can use the following syntax − ...
Read MoreHow to Adjust Marker Size in Matplotlib?
Introduction In a plot, a marker is a symbol that designates a single data point. Size, color, and shape are just a few of the attributes that may be changed. Markers are commonly used in conjunction with other charting methods to enhance the readability and comprehension of data. With Matplotlib, a wide variety of marker shapes are provided, including circles, squares, triangles, diamonds, and more. It is possible to alter the marker size to draw attention to crucial details or to develop more aesthetically pleasing plots. We'll show you how to alter the marker size in Matplotlib using examples of ...
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