Learning iPython Notebook Training Video

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AU$189 - (R$447)

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A Practical iPython Training Course That Teaches Real World Skills In this project-based Learning iPython Notebook 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 Learning iPython Notebook 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 Learning iPython Notebook 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 Learning iPython Notebook tutorial, online or offline...so you'll know the exact steps for your own projects. Course Fast Facts: Only 3 hours to complete this course 45 tutorial videos Expert instructors lead each course Download to any Windows PC or Mac and save for viewing off line Course is accessible 24/7 from any computer once downloaded You can study from home or at work at your own pace in your own time Course Description 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...

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  • 01. Introduction
    • Introduction And About The Author
    • Goals Of This Course
    • Further Resources
    • Alternatives To Matplotlib And Anaconda
    • Prerequisites For This Course
    • 0106 How To Access Your Working Files
  • 02. Installing Anaconda
    • Installing Anaconda
    • Starting iPython Notebook
    • Pandoc
  • 03. Tour of iPython Notebook
    • 0301 New Notebook
    • 0302 iPython Display
    • 0303 Common Tasks
  • 04. Project - Password Generator
    • 0401 Password Generator Outline
    • 0402 Description Of Project
    • 0403 Basic Types In Python
    • 0404 Control Flow
    • 0405 Basic Functions
    • 0406 Making A Password
  • 05. Project - Visualizing Stock Ticker Data
    • 0501 Stock Ticker Visualization Outline
    • 0502 Special Cells
    • 0503 Visualizing Stock Ticker Data
    • 0504 Comparison Operations
    • 0505 Dictionary
    • 0506 Datetime And Pandas
    • 0507 DataFrames
    • 0508 Project - Part 1
    • 0509 Project - Part 2
  • 06. Slideshow And Other Examples
    • 0601 Slideshow And Examples Outline
    • 0602 Slideshow Example
    • 0603 Headings
    • 0604 iPython Notebook
    • 0605 Types - Part 1
    • 0606 Types - Part 2
    • 0607 Types - Part 3
    • 0608 Types - Part 4
    • 0609 Operations
    • 0610 Functions
    • 0611 Methods
    • 0612 Modules
    • 0613 String Module
    • 0614 Requests
    • 0615 Numpy
    • 0616 Matplotlib
    • 0617 Pandas And Pandas.DataFrame
  • 07. Conclusion
    • 0701 Wrap-Up

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