Jupyter Notebook for Data Science Teams
English | 2016-03-24 | mp4 | H264 1280×720 | AAC 2 ch | 3 hrs | 800 MB
eLearning | Instructor: Jonathan Whitmore
A Practical Training Course That Teaches Real World Skills
In this project-based Jupyter Notebook for Data Science Teams video tutorial series, you’ll quickly have relevant skills for real-world applications.
Follow along with our expert instructor in this training course to get:
– Concise, informative and broadcast-quality Jupyter Notebook for Data Science Teams training videos delivered to your desktop
– The ability to learn at your own pace with our intuitive, easy-to-use interface
– A quick grasp of even the most complex Jupyter Notebook for Data Science Teams subjects because they’re broken into simple, easy to follow tutorial videos
Practical working files further enhance the learning process and provide a degree of retention that is unmatched by any other form of Jupyter Notebook for Data Science Teams tutorial, online or offline… so you’ll know the exact steps for your own projects.
In this Jupyter Notebook for Data Science Teams training course, expert author Jonathan Whitmore will teach you about Jupyter Notebook extensions, widgets, and team sharing. This course is designed for data scientists who need to collaborate on projects.
You will start by learning how to install and set up the Jupyter Notebook, as well as how to set up Git and GitHub accounts. From there, Jonathan will teach you about Jupyter Notebook features, including extensions, SQL Magic and Pandas, and interactive widgets. This video tutorial also covers how to share notebooks with a team. Finally, you will run through an example of using a single Git repository for a team data science project from start to finish.
Once you have completed this computer based training course, you will have learned how to use Jupyter Notebook for data science teams.
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