Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
BeautifulSoup is a third party Python library that is used to parse data from web pages. It helps in web scraping, which is a process of extracting, using, and manipulating the data from different resources. Also, it helps the developers in Natural Language Processing applications, helps analyse data, and extract meaning insights from it.Natural Language Processing, or NLP is a part of Machine Learning that deals with text data and ways of pre-processing it to supply it as input to a Machine Learning problem.Web scraping can also be used to extract data for research purposes, understand/compare market trends, perform SEO ... Read More
Suppose we a number n and another value x, we have to check whether it is a power of x or not, where x is a number power of 2.So, if the input is like n = 32768 x = 32, then the output will be True as n is x^3.To solve this, we will follow these steps −From the main method do the following −cnt := 0if n is not 0 and (n AND (n - 1)) is same as 0, thenwhile n > 1, don = n/2cnt := cnt + 1return cnt mod (log c base 2) is ... Read More
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web-based dashboards.Bokeh converts the data source into a JSON file. This file is used as an input to BokehJS, which is a JavaScript library. This BokehJS is written in TypeScript that helps render visualization on modern browsers.Dependencies of Bokeh −Numpy Pillow Jinja2 Packaging Pyyaml Six Tornado Python−dateutilInstallation of Bokeh on Windows command promptpip3 install bokeh Installation of Bokeh on Anaconda promptconda install bokehExampleimport numpy as np ... Read More
Suppose we have a list of four sides, we have to check whether these four sides are forming a rectangle or not.So, if the input is like sides = [10, 30, 30, 10], then the output will be True as there are pair of sides 10 and 30.To solve this, we will follow these steps −if all values of sides are same, thenreturn Trueotherwise when sides[0] is same as sides[1] and sides[2] is same as sides[3], thenreturn Trueotherwise when sides[0] is same as sides[3] and sides[2] is same as sides[1], thenreturn Trueotherwise when sides[0] is same as sides[2] and sides[3] ... Read More
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web-based dashboards.Matplotlib and Seaborn produce static plots, whereas Bokeh produces interactive plots. This means when the user interacts with these plots, they change accordingly.Plots can be embedded as output of Flask or Django enabled web applications. Jupyter notebook can also be used to render these plots.Installation of Bokeh on Windows command promptpip3 install bokehInstallation of Bokeh on Anaconda promptconda install bokeh Let us see an example −ExampleFrom ... Read More
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web-Bokeh converts the data source into a JSON file. This file is used as an input to BokehJS, which is a JavaScript library. This BokehJS is written in TypeScript that helps render visualization on modern browsers.Dependencies of BokehNumpy Pillow Jinja2 Packaging Pyyaml Six Tornado Python−dateutilInstallation of Bokeh on Windows command promptpip3 install bokehInstallation of Bokeh on Anaconda promptconda install bokehLet us see an example −Examplefrom bokeh.plotting import ... Read More
Suppose we have an array of numbers called nums, where all elements are unique. We have to check whether nums is almost sorted or not. As we know an array is almost sorted when any of its elements can occur at a maximum of 1 distance away from its original position in the sorted array.So, if the input is like nums = [10, 30, 20, 40], then the output will be True as 10 is placed at its original place and all other elements are at max one place away from their actual position.To solve this, we will follow these ... Read More
Suppose we have a number n, we have to check whether the occurrence of each digit of n is less than or equal to digit itself.So, if the input is like n = 5162569, then the output will be True as the digits and frequencies are (5, 2), (1, 1), (6, 2) and (9, 1), for all the frequency is either small or equal to the digit value.To solve this, we will follow these steps −for i in range 0 to 9, dotemp := n, cnt := 0while temp is non-zero, doif temp mod 10 is same as i, thencnt ... Read More
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web-based dashboards.Bokeh converts the data source into a JSON file. This file is used as an input to BokehJS, which is a JavaScript library. This BokehJS is written in TypeScript that helps render visualization on modern browsers.Matplotlib and Seaborn produce static plots, whereas Bokeh produces interactive plots. This means when the user interacts with these plots, they change accordingly.Plots can be embedded as output of Flask or ... Read More
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web−based dashboards.Bokeh converts the data source into a JSON file. This file is used as an input to BokehJS, which is a JavaScript library. This BokehJS is written in TypeScript that helps render visualization on modern browsers.Matplotlib and Seaborn produce static plots, whereas Bokeh produces interactive plots. This means when the user interacts with these plots, they change accordingly.Plots can be embedded as output of Flask or ... Read More