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30-Day Money-Back Guarantee

This course includes:

  • 1 hour on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
Development Data Science Jupyter Notebook

How to use the Anaconda Jupyter Notebook

Includes Markdown and IpyWidgets!!
Rating: 3.8 out of 53.8 (18 ratings)
817 students
Created by Henry Palma
Last updated 4/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • The basics of using the Anaconda Jupyter Notebook

Course content

1 section • 23 lectures • 56m total length

  • Preview03:09
  • Preview01:25
  • Creating a Working Folder
    01:19
  • Creating and Naming a Notebook
    01:22
  • Preview06:42
  • Keyboard ShortCuts
    02:47
  • Working with Code Cells
    02:40
  • Working with UI Widgets (IpyWidgets)
    10:54
  • UI Widgets Project
    03:44
  • Working with Data
    05:25
  • Sharing a Notebook
    02:08
  • Working with Markdown Cells
    01:42
  • MarkDown Headers
    00:40
  • MarkDown TextFormat
    01:05
  • Preview00:28
  • MarkDown Indentation
    00:43
  • MarkDown Links
    00:37
  • MarkDown Nested Lists
    00:51
  • MarkDown Numbered Lists
    00:25
  • MarkDown Tables
    02:36
  • MarkDown Images
    01:52
  • MarkDown Latex
    01:28
  • MarkDown Tables
    02:36

Requirements

  • None

Description

The Jupyter Notebook is a valuable tool for data analytics and data science projects. It gives you the ability to write live code, equations, visualizations and narrative text into each project and share it with others. I use the Jupyter notebook daily at work to prototype applications. This course will give you the tools to get started using the Jupyter notebook. This is a companion series to my other Python/Pandas Series.

Who this course is for:

  • Beginner Python Developers

Instructor

Henry Palma
Software/Data Engineer/Mobile Developer
Henry Palma
  • 4.3 Instructor Rating
  • 69 Reviews
  • 2,204 Students
  • 3 Courses

I have been working as a technologist for the last 18 years in multiple Financial institutions and technology consulting firms. I have worked in roles as a Data Analysts, Data Engineer, Software developer and Project/Program Manager. I enjoy both learning and teaching and look forward to providing great learning experiences here in Udemy.

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