Learning Ipython Notebook

[LeeAndro]

Last updated 1/2017MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 326.56 MB | Duration: 3h 4m

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

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
Requirements
no prior knowledge of Python required
Description
This course will teach you how to use iPython Notebook for programming in Python, perfog data analyses, and creating interactive presentations. This course is designed for the absolute bner, 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.

Overview

Section 1: Introduction

Lecture 1 Important - These First - Working Files

Lecture 2 Introduction And About The Author

Lecture 3 Goals Of This Course

Lecture 4 Further Resources

Lecture 5 Alternatives To Matplotlib And Anaconda

Lecture 6 Prerequisites For This Course

Lecture 7 How To Access Your Working Files

Section 2: Installing Anaconda

Lecture 8 Installing Anaconda

Lecture 9 Starting iPython Notebook

Lecture 10 Pandoc

Section 3: Tour of iPython Notebook

Lecture 11 New Notebook

Lecture 12 iPython Display

Lecture 13 Common Tasks

Section 4: Project - Password Generator

Lecture 14 Password Generator Outline

Lecture 15 Description Of Project

Lecture 16 Basic Types In Python

Lecture 17 Control Flow

Lecture 18 Basic Functions

Lecture 19 Making A Password

Section 5: Project - Visualizing Stock Ticker Data

Lecture 20 Stock Ticker Visualization Outline

Lecture 21 Special Cells

Lecture 22 Visualizing Stock Ticker Data

Lecture 23 Comparison Operations

Lecture 24 Dictionary

Lecture 25 Date And Pandas

Lecture 26 DataFrames

Lecture 27 Project - Part 1

Lecture 28 Project - Part 2

Section 6: Slideshow And Other Examples

Lecture 29 Slideshow And Examples Outline

Lecture 30 Slideshow Example

Lecture 31 Headings

Lecture 32 iPython Notebook

Lecture 33 Types - Part 1

Lecture 34 Types - Part 2

Lecture 35 Types - Part 3

Lecture 36 Types - Part 4

Lecture 37 Operations

Lecture 38 Functions

Lecture 39 Methods

Lecture 40 Modules

Lecture 41 String Module

Lecture 42 Requests

Lecture 43 Numpy

Lecture 44 Matplotlib

Lecture 45 Pandas And Pandas.DataFrame

Section 7: Conclusion

Lecture 46 Wrap-Up

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

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