Learning iPython Notebook

Learning iPython Notebook, available at $19.99, has an average rating of 4.25, with 46 lectures, based on 19 reviews, and has 234 subscribers.

You will learn about 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 This course is ideal for individuals who are anyone wanting to learn how iPython Notebook can be used on a practical level It is particularly useful for anyone wanting to learn how iPython Notebook can be used on a practical level.

Enroll now: Learning iPython Notebook

Summary

Title: Learning iPython Notebook

Price: $19.99

Average Rating: 4.25

Number of Lectures: 46

Number of Published Lectures: 46

Number of Curriculum Items: 46

Number of Published Curriculum Objects: 46

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 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

Chapter 2: Installing Anaconda

Lecture 1: Installing Anaconda

Lecture 2: Starting iPython Notebook

Lecture 3: Pandoc

Chapter 3: Tour of iPython Notebook

Lecture 1: New Notebook

Lecture 2: iPython Display

Lecture 3: Common Tasks

Chapter 4: Project – Password Generator

Lecture 1: Password Generator Outline

Lecture 2: Description Of Project

Lecture 3: Basic Types In Python

Lecture 4: Control Flow

Lecture 5: Basic Functions

Lecture 6: Making A Password

Chapter 5: Project – Visualizing Stock Ticker Data

Lecture 1: Stock Ticker Visualization Outline

Lecture 2: Special Cells

Lecture 3: Visualizing Stock Ticker Data

Lecture 4: Comparison Operations

Lecture 5: Dictionary

Lecture 6: Datetime And Pandas

Lecture 7: DataFrames

Lecture 8: Project – Part 1

Lecture 9: Project – Part 2

Chapter 6: Slideshow And Other Examples

Lecture 1: Slideshow And Examples Outline

Lecture 2: Slideshow Example

Lecture 3: Headings

Lecture 4: iPython Notebook

Lecture 5: Types – Part 1

Lecture 6: Types – Part 2

Lecture 7: Types – Part 3

Lecture 8: Types – Part 4

Lecture 9: Operations

Lecture 10: Functions

Lecture 11: Methods

Lecture 12: Modules

Lecture 13: String Module

Lecture 14: Requests

Lecture 15: Numpy

Lecture 16: Matplotlib

Lecture 17: Pandas And Pandas.DataFrame

Chapter 7: Conclusion

Lecture 1: Wrap-Up

Instructors

Infinite Skills
High Quality Training

Rating Distribution

1 stars: 0 votes
2 stars: 3 votes
3 stars: 3 votes
4 stars: 4 votes
5 stars: 9 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu