Jupyter Notebook for Data Science Teams
Notebook Extensions, SQL Magic, Widgets, and Team Sharing
By Jonathan Whitmore
Publisher: O'Reilly Media
Final Release Date: March 2016
Run time: 3 hours 14 minutes

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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oreillyJupyter Notebook for Data Science Teams
 
5.0

(based on 2 reviews)

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5.0

If you need to learn Jupyter this is the right stuff ever !!

By Israel Gaytán

from México DF

About Me Developer, Sys Admin

Verified Reviewer

Pros

  • Accurate
  • Concise
  • Easy to understand
  • Helpful examples
  • Well-written

Cons

    Best Uses

    • Intermediate
    • Novice
    • Student

    Comments about oreilly Jupyter Notebook for Data Science Teams:

    Hey!

    Just let me introduce myself. I am a Big Data Architect and getting in to world of Data Science. This video tutorial for get me in to Jupyter is by far the best O'Really video i have ever seen. I buy some other cool stuff on Oreilly but this...this one is the best. It explains to you from the beginning on download an install Jupyter, samples from widtes, git integration, best practices to jupyter projects and for share your projects as well. Also a Project with Machine Learning..wow...O Reilly really needs video tutorials with this kind of quality and commitment. The Jupyter video goes deeper on how you can configure other environments like R, Python 3 etc..Definitely i absolutely recommend this video.. you dont gonna spent your money in a bad way.....Congrats Jonathan!

    (2 of 3 customers found this review helpful)

     
    5.0

    Great intro to using Jupyter in data science projects

    By Mike

    from Germany

    About Me Developer, Machine Learning

    Verified Reviewer

    Pros

    • Accurate
    • Helpful examples
    • Well-written

    Cons

      Best Uses

      • Intermediate
      • Novice

      Comments about oreilly Jupyter Notebook for Data Science Teams:

      This video-tutorial is a great way to start working with notebook-driven development using Project Jupiter. Even if you have some experience with Jupiter-notebooks like me, you will find a lot of tricks to improve your skills and workflows. From better ways to manage your Python environments with Anaconda, nice keyboard-shortcuts to speed up your development to a great proposal for a workflow of data science project using Github.

      One great idea of this tutorial is are the two sample project to get an impression about how to structure your analysis workflow. The second project requires some background in statistic to follow along but it also provides interesting insights into real-worlds analysis with the statsmodel-package.

      I really can recommend this course to everyone using Jupyter notebooks in teams or if you want to improve your data science skills. Our data-team has integrated some of the guidelines from the video into our data science process and things are working quite well thanks to this new structure.

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