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. It helps in communicating the quantitative insights to the audience effectively.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, ... Read More

Suppose we have a lowercase string s. We have to check whether the occurrences of alphabets in s, after rearranging in any possible manner, generates the Recaman’s Sequence (ignoring the first term).The Recaman’s sequence is as follows −$$a_{n}=\begin{cases}\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:0(if\:n=0) & \a_{n-1}-n(if\:a_{n}-n>0\wedge not\:present\in sequence) & \\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:a_{n-1}+n(otherwise)\end{cases}$$Some of the items of Recaman's Sequence are [0, 1, 3, 6, 2, 7, 13, 20, 12, 21, 11, 22, 10, 23, 9, 24, ...] (The first term is ignored as this is 0)So, if the input is like s = "pppuvuuqquuu", then the output will be True as the characters and frequencies are (p, 3), (u, ... Read More

Suppose we have two strings s and t, we have to check whether the occurrences of a character in s is multiple or a factor in t.So, if the input is like s = "xxyzzw" t = "yyyxxxxzz", then the output will be True as frequency of x in s is 2, and in t is 4, in s y is present only once, but in t there are three y's, there are same number of z in s and t and there is one w in s but not in t.To solve this, we will follow these steps −s_freq ... Read More

Suppose we have a lowercase string s. We have to check whether the frequency of all characters are same after deleting one character or not.So, if the input is like s = "abbc", then the output will be True as we can delete one b to get string "abc" where frequency of each element is 1.To solve this, we will follow these steps −occurrence := a map with all characters of s and their frequenciesif occurrences of all characters in s are same, thenreturn Truefor each char in s, dooccurrence[char] := occurrence[char] - 1if occurrences of all characters in s ... 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 ... 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. It helps in communicating the quantitative insights to the audience effectively.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 ... 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.Dependencies of Bokeh −Numpy Pillow Jinja2 Packaging Pyyaml Six Tornado Python−dateutilInstallation of Bokeh on Windows command promptpip3 install bokeh Installation of Bokeh ... 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.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, ... 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.Visualizing data is an important steps since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations.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.It helps in communicating the quantitative insights to the audience effectively.Bokeh converts the data source ... Read More