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Jupyter Notebook for All – Part I
Introduction to Jupyter
The Course Overview (3:41)
First Look at Jupyter (4:38)
Installing Jupyter on Windows (2:56)
Installing Jupyter on Mac (0:46)
Notebook Structure, Workflow, andBasic Operations (10:52)
Security and Configuration Operations in Jupyter (3:28)
Jupyter Python scripting
Basic Python in Jupyter (4:12)
Python Data Access in Jupyter (2:10)
Python pandas in Jupyter (1:44)
Python Graphics in Jupyter (1:51)
Python Random Numbers in Jupyter (1:15)
Jupyter R scripting
Adding R Scripting to Your Installation (4:33)
Basic R in Jupyter (2:03)
R Dataset Access and Visualization in Jupyter (3:01)
R Cluster Analysis and Forecasting (3:11)
Jupyter Julia Scripting
Adding Julia Scripting to Your Installation (3:21)
Basic Julia in Jupyter (2:42)
Julia Limitations and Standard Capabilities (2:33)
Julia Visualizations in Jupyter (1:50)
Julia Vega Plotting and Parallel Processing (2:34)
Julia Control Flow, Regular Expressions, and Unit Testing (4:33)
Jupyter JavaScript Coding
Adding JavaScript Scripting to Your Installation (2:29)
JavaScript Hello World Jupyter Notebook (2:14)
Basic JavaScript in Jupyter (2:15)
Node.js stats-analysis Package and JSON Handling (2:24)
Node.js plotly Package (1:50)
Node.js Asynchronous Threads (1:32)
Node.js decision-tree Package (2:34)
Adding R Scripting to Your Installation
The ability to make R scripting available in your Jupyter installation.
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