Learning Ipython Notebook

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, 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.
Overview
Section 1: Introduction
Lecture 1 Important - Download 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 Datetime 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
Homepage

https://www.udemy.com/course/learning-ipython-notebook/

Learning Ipython Notebook Fast Download
Learning Ipython Notebook Full Download