Visualizing data is an important step since it helps understand what is going on in the data without actually looking at the complicated working underneath it and performing complicated computations.Pygal is an open source Python package that helps in the creation of interactive plots, and SVG (Scalar Vector Graphics) images of graphs. SVG refers to dynamically generating animated graphs with the given data. These SVG images of graphs can be used and customized depending on our requirements. The SVG images are highly scalable, hence they can be downloaded in high quality format. These downloaded images can also be embedded to ... Read More

Visualizing data is an important step since it helps understand what is going on in the data without actually looking at the complicated working underneath it and performing complicated computations.Pygal is an open source Python package that helps in the creation of interactive plots, and SVG (Scalar Vector Graphics) images of graphs. SVG refers to dynamically generating animated graphs with the given data. These SVG images of graphs can be used and customized depending on our requirements. The SVG images are highly scalable, hence they can be downloaded in high quality format. These downloaded images can also be embedded to ... Read More

Visualizing data is an important step since it helps understand what is going on in the data without actually looking at the complicated working underneath it and performing complicated computations.Pygal is an open source Python package that helps in the creation of interactive plots, and SVG (Scalar Vector Graphics) images of graphs. SVG refers to dynamically generating animated graphs with the given data.These SVG images of graphs can be used and customized depending on our requirements. The SVG images are highly scalable, hence they can be downloaded in high quality format. These downloaded images can also be embedded to various ... 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.Dependencies of Bokeh −Numpy Pillow Jinja2 Packaging Pyyaml Six Tornado Python−dateutilInstallation of Bokeh on Windows command promptpip3 install bokehInstallation of Bokeh on Anaconda promptconda install bokehFollowing is an example −Examplefrom math import pi import pandas as pd from bokeh.plotting import figure, ... 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 ... 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.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 bokehThe ‘step’ function present in glyph function is used to generate discrete data points.Examplefrom bokeh.plotting ... 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 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

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 a 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 a ... Read More