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tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

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% Title % Name % Date

My first slide

List

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import matplotlib.pyplot as plt
from matplotlib import animation

fig, ax = plt.subplots(figsize=(16, 2))

ax.get_xaxis().set_visible(False)
ax.get_yaxis().set_visible(False)

z = coke[0, :]
profile = ax.pcolormesh(z[np.newaxis, :], vmin=0.0, vmax=1.0, cmap='magma_r')

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import matplotlib.pyplot as plt
import seaborn as sns

rcstyle = {'axes.linewidth': 1.0, 'axes.edgecolor': 'black','ytick.minor.size': 5.0}
sns.set(font_scale=2.0)
sns.set_style('ticks', rcstyle)

plt.figure(figsize=(18, 10))
ax = sns.heatmap(coke, cmap='magma_r', vmin=0.0, vmax=1.0)

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import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.ticker import LinearLocator, FormatStrFormatter

x = np.linspace(0.0, 1.0, coke.shape[1])
y = np.linspace(0.0, 240.0, coke.shape[0])
xx, yy = np.meshgrid(x, y)

fig = plt.figure(figsize=(18, 14))

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Dash ML and CV Webinar: Accompanying Document

Link to the webinar: https://www.crowdcast.io/e/interactive

More about Dash

• Dash Gallery: https://dash.plot.ly/gallery
• Advanced Development, for your custom dash components: https://plot.ly/products/consulting-and-oem/
• Dash Deployment Server to deploy your enterprise apps: https://plot.ly/dash/pricing/
• Dash DAQ, for data acquisition in Python: https://www.dashdaq.io/