Christopher Deitrick cdeitrick

## Download OneDrive files in terminal.txt
Google Chrome as well as Mozilla Firerfox both provide an option to copy download link specifically for cURL. This option will generate cURL with all required things such as User agent for downloading things from the side. To get that,

1. Open the URL in either of the browser.
2. Open Developer options using Ctrl+Shift+I.
3. Go to Network tab.
4. Now click on download. Saving file isn't required. We only need the network activity while browser requests the file from the server.
5. A new entry will appear which would look like "download.aspx?...".
6. Right click on that and Copy → Copy as cURL.
7. Paste the copied content directly in the terminal and append --output file.extension to save the content in file.extension since terminal isn't capable of showing binary data.

## channel_to_array
def convert_to_rgb_array(channel: numpy.ndarray, rgb_base: Tuple[int, int, int], alpha: None | float | int | numpy.ndarray = None,
	mode: Literal['RGB', 'RGBA'] = 'RGB') -> numpy.ndarray:
	"""
		Parameters
		----------
		channel: numpy.ndarray
			A 2D floating-point array with values in the range [0, 1]
		rgb_base: Tuple[int,int,int]
			A single rgb color which will be used as the base color of the array.
			The resulting color of each pixel is generated by multiplying the pixel value by `rgb_base`.

## linux_command_cheatsheet

# Install packages suggested by apt when install a program.
apt-get -o APT::Install-Suggests="true" install {package}

## mp3gain
Take a look @ mp3gain which for me is even better than normalize-audio

mp3gain -r *.mp3
another useful version could be the -c which prevent to ask if you want to do the changes for many files:

mp3gain -c -r *.mp3

## code_snippets_for_data
# Size in memory of a numpy array
			array_size = array.size
			array_itemsize = array.itemsize
			array_total = array_size * array_itemsize

## matplotlib_snippets
#Add padding to a figure after the plot is generated
plt.gcf().subplots_adjust(left = 0.30)


########################### Change grid spacing ################################

import numpy as np
import matplotlib.pyplot as plt

## Download all links within an rss file
# Download all links within an rss file
 ```cat rss.xml | tr "\"\'" "\n" | grep mp3 | xargs wget```

## enable_right_click.txt
javascript:void(document.oncontextmenu=null);

## matplotlib_snippets.py
# Change ticklabel size
plt.yticks(fontsize=20)
ax.tick_params(axis='x', labelsize=20)

# Remove tick labels
ax.xaxis.set_visible(True)
ax.axis('off')

ax.set_axis_off()
ax.get_xaxis().set_visible(False)

## change_mp3_bitrate
ffmpeg -i input.file -map 0:a:0 -b:a 96k output.mp3
	Google Chrome as well as Mozilla Firerfox both provide an option to copy download link specifically for cURL. This option will generate cURL with all required things such as User agent for downloading things from the side. To get that,

	1. Open the URL in either of the browser.
	2. Open Developer options using Ctrl+Shift+I.
	3. Go to Network tab.
	4. Now click on download. Saving file isn't required. We only need the network activity while browser requests the file from the server.
	5. A new entry will appear which would look like "download.aspx?...".
	6. Right click on that and Copy → Copy as cURL.
	7. Paste the copied content directly in the terminal and append --output file.extension to save the content in file.extension since terminal isn't capable of showing binary data.
	def convert_to_rgb_array(channel: numpy.ndarray, rgb_base: Tuple[int, int, int], alpha: None \| float \| int \| numpy.ndarray = None,
	mode: Literal['RGB', 'RGBA'] = 'RGB') -> numpy.ndarray:
	"""
	Parameters
	----------
	channel: numpy.ndarray
	A 2D floating-point array with values in the range [0, 1]
	rgb_base: Tuple[int,int,int]
	A single rgb color which will be used as the base color of the array.
	The resulting color of each pixel is generated by multiplying the pixel value by `rgb_base`.

	# Install packages suggested by apt when install a program.
	apt-get -o APT::Install-Suggests="true" install {package}
	Take a look @ mp3gain which for me is even better than normalize-audio

	mp3gain -r *.mp3
	another useful version could be the -c which prevent to ask if you want to do the changes for many files:

	mp3gain -c -r *.mp3
	# Size in memory of a numpy array
	array_size = array.size
	array_itemsize = array.itemsize
	array_total = array_size * array_itemsize
	#Add padding to a figure after the plot is generated
	plt.gcf().subplots_adjust(left = 0.30)



	########################### Change grid spacing ################################

	import numpy as np
	import matplotlib.pyplot as plt
	# Download all links within an rss file
	```cat rss.xml \| tr "\"\'" "\n" \| grep mp3 \| xargs wget```
	# Change ticklabel size
	plt.yticks(fontsize=20)
	ax.tick_params(axis='x', labelsize=20)

	# Remove tick labels
	ax.xaxis.set_visible(True)
	ax.axis('off')

	ax.set_axis_off()
	ax.get_xaxis().set_visible(False)