jeakwon

#!/bin/bash
#
# script to extract ImageNet dataset
# ILSVRC2012_img_train.tar (about 138 GB)
# ILSVRC2012_img_val.tar (about 6.3 GB)
# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory
#
#  https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md
# 
#  train/

jeakwon

class UpbitAPI:
    """
    :라이브러리:
    
        import requests, jwt, uuid, hashlib, time
        from urllib.parse import urlencode
    
    :사용법:
    
        with open(r"C:\Users\Jay\Desktop\upbit.txt", 'r') as f:

jeakwon

import numpy as np

t = np.arange(1000)
v = np.zeros(1000)
v[10]=1
v[200]=5
v[240]=2

def psc(t, tau1, tau2):
    assert tau1<tau2

jeakwon

import inspect
class foo:
    def __init__(self, a, b=10, *c, **d):
        values = inspect.getargvalues(inspect.currentframe())[3]
        print(values)

# {'d': {}, 'c': (), 'b': 10, 'a': 1, 'self': <__main__.foo object at 0x0000021BD7DEECF8>}

jeakwon

import sys
from PySide2.QtCore import *
from PySide2.QtGui import *
from PySide2.QtWidgets import *

class tooldemo(QMainWindow):
   def __init__(self, parent = None):
      super(tooldemo, self).__init__(parent)
      layout = QVBoxLayout()
      tb = self.addToolBar("File")

jeakwon

import os, sys
from PySide2.QtWidgets import QTextEdit, QApplication, QMainWindow, QMdiArea, QMdiSubWindow, QMessageBox

class MainWindow(QMainWindow):
    def __init__(self, parent=None):
        super().__init__(parent)
        self.setCentralWidget(MdiArea())

class MdiArea(QMdiArea):
    def __init__(self, parent=None):

jeakwon

import os, sys
from PySide2.QtWidgets import QTextEdit, QApplication, QMainWindow, QMdiArea, QMdiSubWindow, QMessageBox

class MainWindow(QMainWindow):
    def __init__(self, parent=None):
        super().__init__(parent)
        self.setCentralWidget(MdiArea())

class MdiArea(QMdiArea):
    def __init__(self, parent=None):

jeakwon

from PySide2.QtWidgets import QApplication, QMainWindow, QMdiArea, QAction, QMdiSubWindow, QTextEdit
import sys
 
 
 
class MDIWindow(QMainWindow):
 
    count = 0
    def __init__(self):
        super().__init__()

jeakwon

import pandas as pd
import pyodbc
from sqlalchemy import create_engine
engine = create_engine("mssql+pyodbc://DESKTOP-R5QA5N1/test?driver=SQL+Server+Native+Client+11.0")

df = pd.DataFrame([1])
df.to_sql('test', con=engine)

jeakwon

import pandas as pd
from sqlalchemy import create_engine

engine = create_engine('postgresql://id:password@localhost:port/database')
df.to_sql('table_name', engine)
pd.read_sql("select * from users limit 1", engine)