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

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

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

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

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 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

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 can be easily used in conjunction with NumPy, Pandas, and other Python packages. It can be used to produce interactive plots, dashboards, and so on.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 ... 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 can be easily used in conjunction with NumPy, Pandas, and other Python packages. It can be used to produce interactive plots, dashboards, and so on.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 ... Read More