In our home we have a mix of Mac and Linux computers. My children have a Raspberry Pi in their room and I have a Mac at my desk. Today we chatted with each other through the Terminal running on both computers. Hi children! Dudududududududu Am I talking to a bird? ^v^ (It was a …
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There are several ways to check what devices are currently logged on to your network (e.g. WiFi at home). The first option is to use arp, which I have found works the best. There will be some cases where it does not work. In the following example, I’ll assume that your IP address is 192.168.1.xxx. …
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Af Kostas Kefaloukos Danmark er et lille halvkoldt land, halvlangt mod nord. Det er ikke så koldt at der er særligt meget sne. Til gengæld blæser det meget og regner hele tiden. Disse vejrforhold gør at danskerne ofte bliver forkølede og udvikler store mængder af snot i næse og svælg. På samme måder som grønlænderne …
I’m interested in object detection and other computer vision tasks. For example, I’m working on a teddy-bear detector with my son. So, how do you quickly download images for a certain category? You can use this approach that I learned from a course on Udemy. In the above example, the crawler will find images in …
Create a pandas dataframe with a date column: import pandas as pd import datetime TODAY = datetime.date.today() ONE_WEEK = datetime.timedelta(days=7) ONE_DAY = datetime.timedelta(days=1) df = pd.DataFrame({’dt’: [TODAY-ONE_WEEK, TODAY-3*ONE_DAY, TODAY], ‘x’: [42, 45,127]})import pandas as pd import datetime TODAY = datetime.date.today() ONE_WEEK = datetime.timedelta(days=7) ONE_DAY = datetime.timedelta(days=1) df = pd.DataFrame({‘dt’: [TODAY-ONE_WEEK, TODAY-3*ONE_DAY, TODAY], ‘x’: …
Cosine similarity is the normalised dot product between two vectors. I guess it is called “cosine” similarity because the dot product is the product of Euclidean magnitudes of the two vectors and the cosine of the angle between them. If you want, read more about cosine similarity and dot products on Wikipedia. Here is how …
Now that I work in shipping, it is necessary to learn a bunch of new terms. Shipping is regulated under Admiralty Law and there are traditional documents and parties involved. Knowing what these are is crucial to understanding shipping. Legal documents There are three key documents involved with shipping: Bill of Lading (sometimes abbreviated as …
Here is how to sample from a softmax probability vector at different temperatures. import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl import seaborn as sns mpl.rcParams[’figure.dpi’]= 144 trials = 1000 softmax = [0.1, 0.3, 0.6] def sample(softmax, temperature): EPSILON = 10e-16 # to avoid taking the log of …
https://seaborn.pydata.org/generated/seaborn.heatmap.html
Here is the code: %matplotlib inline import geopandas as gpd import matplotlib as mpl # make rcParams available (optional) mpl.rcParams[’figure.dpi’]= 144 # increase dpi (optional) world = gpd.read_file(gpd.datasets.get_path("naturalearth_lowres")) world = world[world.name != ‘Antarctica’] # remove Antarctica (optional) world[’gdp_per_person’] = world.gdp_md_est / world.pop_est g = world.plot(column=’gdp_per_person’, cmap=’OrRd’, scheme=’quantiles’) g.set_facecolor(’#A8C5DD’) # make the ocean blue (optional)%matplotlib …
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