Video 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 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.
Table of Contents
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Introduction
- Introduction And About The Author 00:02:09
- Goals Of This Course 00:01:46
- Further Resources 00:01:46
- Alternatives To Matplotlib And Anaconda 00:04:53
- Prerequisites For This Course 00:00:33
-
Installing Anaconda
- Installing Anaconda 00:03:15
- Starting iPython Notebook 00:00:42
- Pandoc 00:00:57
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Tour of iPython Notebook
- New Notebook 00:05:53
- iPython Display 00:06:53
- Common Tasks 00:08:46
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Project - Password Generator
- Password Generator Outline 00:01:03
- Description Of Project 00:03:44
- Basic Types In Python 00:07:10
- Control Flow 00:04:31
- Basic Functions 00:08:09
- Making A Password 00:05:13
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Project - Visualizing Stock Ticker Data
- Stock Ticker Visualization Outline 00:01:00
- Special Cells 00:00:41
- Visualizing Stock Ticker Data 00:08:41
- Comparison Operations 00:03:53
- Dictionary 00:06:05
- Datetime And Pandas 00:04:34
- DataFrames 00:10:52
- Project - Part 1 00:06:14
- Project - Part 2 00:06:58
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Slideshow And Other Examples
- Slideshow And Examples Outline 00:03:21
- Slideshow Example 00:03:22
- Headings 00:01:41
- iPython Notebook 00:06:03
- Types - Part 1 00:04:28
- Types - Part 2 00:03:39
- Types - Part 3 00:05:51
- Types - Part 4 00:04:14
- Operations 00:02:07
- Functions 00:02:59
- Methods 00:03:02
- Modules 00:02:11
- String Module 00:02:49
- Requests 00:03:27
- Numpy 00:03:03
- Matplotlib 00:03:58
- Pandas And Pandas.DataFrame 00:02:23
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Conclusion
- Wrap-Up 00:06:01