What you'll learn
- The basics of using the Anaconda Jupyter Notebook
Course content
- Preview03:09
- Preview01:25
- 01:19Creating a Working Folder
- 01:22Creating and Naming a Notebook
- Preview06:42
- 02:47Keyboard ShortCuts
- 02:40Working with Code Cells
- 10:54Working with UI Widgets (IpyWidgets)
- 03:44UI Widgets Project
- 05:25Working with Data
- 02:08Sharing a Notebook
- 01:42Working with Markdown Cells
- 00:40MarkDown Headers
- 01:05MarkDown TextFormat
- Preview00:28
- 00:43MarkDown Indentation
- 00:37MarkDown Links
- 00:51MarkDown Nested Lists
- 00:25MarkDown Numbered Lists
- 02:36MarkDown Tables
- 01:52MarkDown Images
- 01:28MarkDown Latex
- 02:36MarkDown Tables
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](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 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.