Learning iPython Notebook

Name: Learning iPython Notebook
Rating: 4.0 (19 reviews)

Learn how to use this unique web-based coding platform to perform calculations and make engaging presentations.

Created byInfinite Skills

Last updated 1/2017

English

What you'll learn

use iPython Notebook to create Python code, with an emphasis on data analysis and interactive presentation
navigate the iPython Notebook interface as an end-user and presentation developer

Course content

7 sections • 46 lectures • 3h 4m total length

Important - Download These First - Working Files0:01
Introduction And About The Author2:08
Goals Of This Course1:45
Further Resources1:46
Alternatives To Matplotlib And Anaconda4:52
Explore alternatives to Anaconda for running Python notebooks, from Canopy and ActiveState Python to online Temp notebooks, and compare data visualization libraries like matplotlib, Bokeh, ggplot, and D3.
Prerequisites For This Course0:33
How To Access Your Working Files3:22

Stock Ticker Visualization Outline1:00
Open your python notebook project visualizing stock ticker data and follow along to build a stock ticker visualization. Explore Quando data service, json basics, pandas, and plotting for MSFC data.
Special Cells0:41
Visualizing Stock Ticker Data8:41
Comparison Operations3:52
Dictionary6:04
Datetime And Pandas4:33
DataFrames10:52
Project - Part 16:13
Project - Part 26:57

Slideshow And Examples Outline3:20
Slideshow Example3:22
Learn to structure IPython notebooks as Reveal.js powered slides, using slides, fragments, and skip or notes markers, and export notebooks to standalone HTML slides viewable in a browser.
Headings1:41
iPython Notebook6:03
Explore IPython notebook basics, including creating sections and slides, using keyboard shortcuts and toolbar commands, running cells, and leveraging shell and magic commands for inline plots.
Types - Part 14:27
Types - Part 23:38
Types - Part 35:50
Types - Part 44:14
Operations2:07
Functions2:59
Methods3:01
Modules2:11
String Module2:48
Requests3:26
Numpy3:03
Matplotlib3:58
Pandas And Pandas.DataFrame2:23

Requirements

no prior knowledge of Python required

Description

This course will teach you how to use iPython Notebook for programming in Python, performing data analyses, and creating interactive presentations. 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.

Who this course is for:

anyone wanting to learn how iPython Notebook can be used on a practical level

Learning iPython Notebook

What you'll learn

Explore related topics

Course content

Introduction7 lectures • 14min

Installing Anaconda3 lectures • 5min

Tour of iPython Notebook3 lectures • 22min

Project - Password Generator6 lectures • 30min

Project - Visualizing Stock Ticker Data9 lectures • 49min

Slideshow And Other Examples17 lectures • 59min

Conclusion1 lecture • 6min

Requirements

Description

Who this course is for: