logasja

@echo off
setlocal enableDelayedExpansion

for %%x in (%*) do (
  for /f %%i in ('ipfs add -q "%%~x"') do echo https://gateway.ipfs.io/ipfs/%%~i
)

endlocal

logasja

This post links my 3Box profile to my Github account! Web3 social profiles by 3Box.
    
  ✅ did:3:bafyreihvn2jq6yvvoszyp2i6kemblvckslwu2z7ntmqwfelbe4kphodzoq ✅
    
    Create your profile today to start building social connection and trust online at https://3Box.io/

logasja

Keybase proof

I hereby claim:

• I am logasja on github.
• I am rocketcode (https://keybase.io/rocketcode) on keybase.
• I have a public key ASCJSqdM5_cYf0NYYNWdQf_WXPEuhyMkRheqFDfnLWo7dwo

To claim this, I am signing this object:

logasja

import socket, select

def main():
    CONNECTION_LIST = []    # list of socket clients
    RECV_BUFFER = 4096 # Advisable to keep it as an exponent of 2
    PORT = 5000

    server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    # this has no effect, why ?
    server_socket.bind(("0.0.0.0", PORT))

logasja

# Socket server in python using select function
 
import socket, select

def main():
    CONNECTION_LIST = []    # list of socket clients
    RECV_BUFFER = 4096 # Advisable to keep it as an exponent of 2
    PORT = 5000
         
    server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

logasja

# Courtesy of http://scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html

from matplotlib.colors import ListedColormap
import matplotlib.pyplot as plt
from sklearn.model_selection import learning_curve, GridSearchCV
from sklearn.metrics import confusion_matrix
import itertools
import matplotlib.pyplot as plt
import numpy as np

logasja

__author__ = "j.logas"

from numpy.random import seed
from seaborn import load_dataset
import pandas as pd
from sklearn.datasets import make_moons
from sklearn.model_selection import train_test_split
from sklearn import preprocessing

def moons_data():