Master Python Bokeh for stunning data visualizations and interactive dashboards! Perfect for data enthusiasts!
This course will help you master the Bokeh library in Python, enabling you to create awesome, interactive data visualizations for the web!
A complete guide on creating beautiful plots and data dashboards on the browser using the Python Bokeh library.
If you love Python and want to impress your clients or your employer with impressive data visualization on the browser, Bokeh is the way to go. This course is a complete guide to mastering Bokeh, a Python library for building advanced and data dashboards containing beautiful interactive visualizations. The course will guide you step by step from plotting simple datasets to building rich and beautiful data visualization web apps that plot data in real-time and allow web users to interact and change the behavior of your plots via the internet from their browsers.
Whether you are a data analyst, data scientist, statistician, or any other specialist who deals with data regularly, this course is perfect for you. It will give you the skills to visualize data in a way that excites your audience and eventually sells your product or your idea much easier. All you need to have to learn Bokeh is some basic prior knowledge of Python.
The course also contains exercises to help you check your skills as you progress. You will be given access to various data samples and provided with additional examples to enforce your Bokeh skills. The course is estimated to take you around four weeks to complete assuming you devote 10-20 hours/week depending on your productivity skills.
Build advanced data visualization web apps using the Python Bokeh library.
Create interactive modern web plots that represent your data impressively.
Create widgets that let users interact with your plots.
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Ardit is an accomplished Python programmer, educator, and the founder of PythonHow. He graduated in 2013 with a Master of Science in Geospatial Technologies from the University of Muenster, Germany, where he honed his skills in Python, especially for applications in remote sensing and data science.Ardit's professional career in Python programming is highlighted by his collaborations with various international entities....
I really love Ardit's other courses. But some of the methods on this one are depreciated. Hence, I'm having a hard time following. The course needs an update asap.
At first lecture, seeing bokeh-0.13, scared the hell out of me :D But, the course content is still valid and relevant. I got a very good picture of main building blocks of a bokeh viz, and bokeh server. Also, chapters on embedding bokeh in website and deployment was superb. Thanks Ardit.
From section 4, some parts weren't working on my laptop (and the explanation of how to set it up was scarce).
Thanks for providing a great course Ardit! Bokeh is a fascinating Python library to learn
這門課相當不錯，可以學到Bokeh的套件，不過就是太久沒更新了。學生不容易學。
另外nginx和gunicorn也需要花時間了解，如果是初心者想要上手，這不一定是可以以上手的課程。
Great course! Learned a lot. Clear explanations, easy to follow. Well worth it.
I like the content, but it needs to be updated (presented Bokeh api is outdated).
The presented code should be prepared before recording the course, so as not to waste time looking for errors.
I like the content and the way he explained the bokeh , Just one thing, which I observe, the whole content needs to be updated as per latest bokeh version as some part isn't working or changed because of version update.
Ausführliche Darstellung des Bokeh Servers, mit interessanten Plots
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Qing L.
Still very useful content, but I hope Ardit can update this course because it is very old.