Bubble Chart with Plotly

A bubble chart is a type of chart that displays three dimensions of data. Bubble charts can be considered a variation of the scatter plot, in which the data points are replaced with bubbles. Bubble

Pie Chart with Plotly

A pie chart (or a circle chart) is a circular statistical graphic, which is divided into slices to illustrate numerical proportion. In a pie chart, the arc length of each slice and consequently its central angle and area is proportional to the quantity it represents

Introduction To Plotly in Python

The Plotly library is an interactive open-source library. Plotly makes data visualization and understanding simple and easy. Plotly is a high-level, declarative charting library that includes over 30 chart types,

Scatter Plots with Plotly

A scatter plot is a chart type that is normally used to observe and visually display the relationship between variables. The values of the variables are represented by dots. The

Bar Charts with Plotly

A bar chart is a way of summarizing a set of categorical data. The bar chart displays data using a number of bars, each representing a particular category. The height

Line Plot with Plotly

A line chart or line plot or line graph or curve chart is a type of chart that displays information as a series of data points called ‘markers’ connected by

Exception handling Python

An Exception is an unwanted event that is caused during the execution of the program. This unwanted event that disturbs the normal flow of the program is called an exception.

Strings in Python

A sequence of elements typically characters, inside single or double quotes is called string. Even a single character inside the quotes is also called a string. Table of Contents Show

Layout Streamlit Application

Streamlit is an amazing technology that turns python scripts into shareable web apps in minutes. Streamlit enables developers to easily create beautiful web apps that can create great experiences for the

Deploy the Streamlit Application

Let’s see how we can deploy our streamlit application on the internet to showcase our work. The article discusses the two methods to deploy the streamlit application into the Web

NLP with Streamlit

In this article, we are going to talk about how we can embed some of the functionalities of NLP(Natural Language Processing) like named entity recognition and sentiment analysis, in a

Altair with STREAMLIT

Altair is a declarative statistical visualization library for Python, based on Vega. Altair is becoming the first choice of people looking for a quick and efficient way to visualize datasets. The

Interview Questions on Graphs

Route Between Nodes We’re given a directed graph and two nodes (X and Y). Design an algorithm to check whether there exists a route between the two nodes. For the

Interview Questions on Trees in Python

Minimal Tree We’re given a sorted array(ascending order) with unique integer elements. Write an algorithm to create a binary search tree with minimal height. For the implementation of the solution

Loops in Python

A loop is a sequence of instructions that is continually repeated until a certain condition is reached. Typically a certain process is done, such as getting an item of data

Plotly with STREAMLIT

Plotly is an open-source graphing library that makes interactive, publication-quality graphs. Plotly is a very helpful tool for understanding and visualizing data. Plotly supports various plots such as scatter plots,

STREAMLIT – Embed Code

In this article, we are going to talk about how to embed code snippets in our streamlit application. Streamlit has built-in methods to embed code snippets. And also streamlit components

Image Processing with STREAMLIT

In this article, we will see how we can use Streamlit with Image Processing Techniques. Assuming that you have Streamlit installed and working on your system. Table of Contents Show

Map Box in STREAMLIT

Mapbox is a location data platform that powers the maps and location services used in many popular apps. Mapbox allows drawing a map dynamically, inside a web browser, instead of downloading

Bert squad

We will try to have a good call with the squad; which is the standard benchmark for the NLP. What is a squad? The squad is all about the question

Using BERT as an Embedder

We will be using the same base model but we won’t be using making embedding layer but using BERT embedding layer. We won’t train the weights of the BERT but

Architecture of CNN and Model making of Bert Tokenization

Table of Contents Show / Hide 1. Pre-training1.0.1. Masked Language model2. Convolution Neural Network (CNN) Explanation2.1. CNN Architecture3. Example4. Step 1: Importing Dependencies5. Step 2: Data Preprocessing6. Step 3: Data Cleaning7. Step 4:

Word embedding in Bert

Before going further, we just need to know what is word embedding. The idea is just that we need words being just a list of characters are of letters. We

Multi-level Indexing in Pandas

We will be taking a closer look into the advanced Pandas indexing feature, the MultiIndex. We are going to build an understanding of modifying the axis, primarily the index, in

Seaborn with STREAMLIT

Seaborn is an amazing data visualization library for statistical graphics plotting in Python. Seaborn provides beautiful default styles and color palettes to make statistical plots more attractive. Seaborn is built on the top

Matplotlib with STREAMLIT

Matplotlib is an amazing visualization library in Python. And, Streamlit is an amazing technology that turns data scripts into shareable web apps in minutes. The main agenda of the article

Conditional Statements – If, else, elif in Python – [PythonWife]

All the programming languages execute code line by line, but in some cases, we might want to avoid executing few lines of code. This is where we use conditional statements.

Prototype Design Pattern with Python

Prototype Design Pattern allows us to copy or clone the existing objects of an interface to fully initialize a new object. Prototype Pattern suggests creating an interface that creates a

Command Design Pattern with Python

The Command Design Pattern allows us to encapsulate and record the action that can be performed on an entity in a system. The key motivation behind the command design pattern

Working with Multiple DataFrames in Pandas

We will take a deeper dive into the mechanics of working with multiple datasets. When working with data to address specific analytical questions we often need to combine multiple DataFrames.