Learning iPython Notebook
By James Powell
Publisher: Infinite Skills
Final Release Date: November 2014
Run time: 3 hours 1 minute

In this Learning iPython Notebook training course, expert author James Powell will teach you how to use iPython Notebook for Python programming. This course is designed for the absolute beginner, meaning no experience with Python or iPython Notebook is required.
You will start by learning how to install Anaconda, then take a tour of iPython Notebook. From there, James will take you through two projects: creating a random password generator in Python and analyzing and visualizing stock ticker data. This video tutorial also teaches you how to present using iPython Notebook, including learning about the operations, functions, methods, and modules.
Once you have completed this computer based training course, you will be fully capable of using iPython Notebook as a tool for programming in Python, and be able to perform data analyses in Python. Working files are included, allowing you to follow along with the author throughout the lessons.

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oreillyLearning iPython Notebook
 
4.0

(based on 1 review)

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4.0

Good, clear introduction to iPython notebook

By Paul Joireman

from Chicago, IL

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Pros

  • Accurate
  • Concise
  • Easy to understand

Cons

    Best Uses

    • Novice

    Comments about oreilly Learning iPython Notebook:

    This video series gives a good clear introduction to iPython notebook. The author/presenter is clear, organized and on topic throughout the set of videos. After a brief discussion of installation, the iPython notebook is introduced and the presenter uses it in the context of a simple project to illustrate basic Python, lists, strings, functions, control flow. If you know Python well you might want to fast-forward through this or listen at an advanced playback speed.

    More advanced libraries are introduced, requests, matplotlib and pandas to supplement a second project analyzing stock prices. The author/presenter does not go into a deep dive into each library but selects what is useful to the overall project and explains it within the context of that project.

    The nbconvert utility is also covered at different points showing how an iPython notebook can be translated into a series of slides.

    Some minor disadvantages:

    - the current iPython notebook uses a different format than that used in presentation. This creates problems when the notebook is read in and parsed.
    - Some example code depends on specific URLs which may not work or point to the same place.
    - pandoc was installed in the beginning of the presentation but I do not remember it being used.

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