Installing Python and JupyterLab

Figure 1

Apple Silicon Chip

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Miniconda Download

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Installation Screen

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Select a Destination

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Install Prompt

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Installation Completed

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Terminal search

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Mac terminal

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Pip Command finished

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JupyterLab Launch

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JupyterLab at Launch

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Installation Screen

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Minconda Installer

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Miniconda Installation Type

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Miniconda Installation Location

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Miniconda Advanced Installation Options

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Miniconda Installation Complete

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Miniconda Close Installer

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Anaconda Search Result

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Anaconda Prompt

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Anaconda Prompt

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JupyterLab Launch

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JupyterLab at Launch

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JupyterLab Menu Bar

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JupyterLab Main Work Area

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JupyterLab Left Side Bar

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Show File Browser in Menu

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Create PythonWorkshop folder

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Launch a New Python3 Notebook

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Print Working Directory from within Python

Running and Quitting

Figure 1

JupyterLab Menu Bar

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JupyterLab Left Side Bar

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JupyterLab Main Work Area

Figure 4

Example Jupyter Notebook

Figure 5

Multi-panel JupyterLab

Variables and Assignment

Figure 1

A line of Python code, print(atom_name[0]), demonstrates that using the zero index will output just the initial letter, in this case ‘h’ for helium.
A line of Python code, print(atom_name[0]), demonstrates that using the zero index will output just the initial letter, in this case ‘h’ for helium.

Data Types and Type Conversion

Built-in Functions and Help

Libraries

Reading Tabular Data into DataFrames

Pandas DataFrames

Plotting

Figure 1

A line chart showing time (hr) relative to position (km), using the values provided in the code block above. By default, the plotted line is blue against a white background, and the axes have been scaled automatically to fit the range of the input data.

Figure 2

Figure 3

Figure 4

Minima Maxima Solution

Figure 5

Correlations Solution 1

Figure 6

Correlations Solution 2

Figure 7

More Correlations Solution

Lists

For Loops

Conditionals

Looping Over Data Sets

Writing Functions

Variable Scope

Programming Style

Wrap-Up

Feedback