miguelsolorio

"workbench.colorCustomizations": {
		"editor.background": "#1E1E1E",
		"editor.foreground": "#D4D4D4",
		"editor.inactiveSelectionBackground": "#3A3D41",
		"editorIndentGuide.background": "#404040",
		"editorIndentGuide.activeBackground": "#707070",
		"editor.selectionHighlightBackground": "#ADD6FF26",
		"list.dropBackground": "#383B3D",
		"activityBarBadge.background": "#007ACC",
		"sideBarTitle.foreground": "#BBBBBB"

miguelsolorio

"workbench.colorCustomizations": {
	"activityBar.background": "#2F333D",
	"activityBar.foreground": "#D7DAE0",
	"activityBarBadge.background": "#4D78CC",
	"activityBarBadge.foreground": "#F8FAFD",
	"badge.background": "#282c34",
	"button.background": "#404754",
	"debugToolBar.background": "#21252b",
	"dropdown.background": "#1d1f23",
	"diffEditor.insertedTextBackground": "#00809B33",

miguelsolorio

# ~/.bash_profile

# Hide Desktop files
alias hideDesktop='defaults write com.apple.finder CreateDesktop false; killall Finder'

# Show Desktop files
alias showDesktop='defaults write com.apple.finder CreateDesktop true; killall Finder'

miguelsolorio

input=("assets")
output=("dist")
platforms=("darwin" "win32")
versions=("stable" "insiders" "oss")
files=("bat" "bower" "c" "cpp" "csharp" "css" "default" "go" "html" "jade" "java" "javascript" "less" "markdown" "php" "powershell" "python" "react" "ruby" "sass" "shell" "sql" "typescript" "vue" "xml" "yaml" "json" "config")

# create output directory
for platform in "${platforms[@]}"
do
    for version in "${versions[@]}"

miguelsolorio

{
	"name": "Dark Default Colors",
	"$schema": "vscode://schemas/color-theme",
	"type": "dark",
	"colors": {
		"activityBar.background": "#333333",
		"activityBar.dropBackground": "#ffffff1f",
		"activityBar.foreground": "#ffffff",
		"activityBar.inactiveForeground": "#ffffff99",
		"activityBarBadge.background": "#007acc",

miguelsolorio

miguelsolorio

miguelsolorio

- let counter = 1
- let cells = [{group: 1, type: 'text', heading: 'Common plotting pitfalls with large data', paragraph: 'When working with large datasets, visualizations are often the only way available to understand the properties of that dataset -- there are simply too many data points to examine each one!  Thus it is very important to be aware of some common plotting problems that are minor inconveniences with small datasets but very serious problems with larger ones.', git: 'modified'},{group: 1, type: 'code', string: 'import matplotlib.pyplot as plt\nimport numpy as np', time: '0.1'},{group: 1, type: 'code', string: 'print("Hello World")', time: "0.3", output: 'Hello World',git: 'added'},{group: 2, type: 'text', heading: '1. Overplotting', paragraph: 'Let\'s consider plotting some 2D data points that come from two separate categories, here plotted as blue and red in **A** and **B** below.  When the two categories are overlaid, the appearance of the result can be very different depending on which one is

miguelsolorio

- let counter = 1
- let cells = [{group: 1, type: 'text', heading: 'Common plotting pitfalls with large data', paragraph: 'When working with large datasets, visualizations are often the only way available to understand the properties of that dataset -- there are simply too many data points to examine each one!  Thus it is very important to be aware of some common plotting problems that are minor inconveniences with small datasets but very serious problems with larger ones.', git: 'modified'},{group: 1, type: 'code', string: 'import matplotlib.pyplot as plt\nimport numpy as np', time: '0.1'},{group: 1, type: 'code', string: 'print("Hello World")', time: "0.3", output: 'Hello World',git: 'added'},{group: 2, type: 'text', heading: '1. Overplotting', paragraph: 'Let\'s consider plotting some 2D data points that come from two separate categories, here plotted as blue and red in **A** and **B** below.  When the two categories are overlaid, the appearance of the result can be very different depending on which one is

miguelsolorio

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