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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
Suppose we have a lowercase string s with only two characters a and b. We have to check whether every group of consecutive a's is followed by group of consecutive b's of equal length.So, if the input is like s = "abaaabbbaabbaabbab", then the output will be True, as all groups are (ab), (aaabbb), (aabb), (aabb), (ab).To solve this, we will follow these steps −a_count := 0, string_len := size of si := 0while i < string_len, dowhile i < string_len and s[i] is 'a', doa_count := a_count + 1i := i + 1while i < string_len and s[i] 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 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
Suppose we have a singly linked list. We have to check whether each element in the given linked list is present in a pair, in other words all elements occur even no. of times.So, if the input is like list = [2, 5, 5, 2, 3, 3], then the output will be True.To solve this, we will follow these steps −xor_res := 0, current_node := head of linked listwhile current_node is not null, doxor_res := xor_res XOR value of current_nodecurrent_node := next of current_nodereturn False when xor_res is non-zero otherwise TrueExampleLet us see the following implementation to get better understanding ... 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
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 ... Read More
Suppose we have two arrays, one is nums and another one is primes. We have to check whether it is possible to make all the elements of nums equal by multiplying one or more prime numbers from primes array.So, if the input is like nums = [25, 100] primes = [2, 5], then the output will be True as we can multiply 25 with 2 twice to get 100 then all elements are same.To solve this, we will follow these steps −lcm_arr := LCM of all elements in numsfor i in range 0 to size of nums - 1, doval ... Read More
Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.It has optimization techniques that help in performing complicated mathematical operations quickly.This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with deep neural network. It is highly scalable, and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of machine ... Read More