Using pytorch - install it on Windows OS.

A few days ago I install the pytorch on my Windows 8.1 OS and today I will able to install on Fedora 29 distro.
I will try to make a series of pytorch tutorials with Linux and Windows OS on my blogs.
If you want to install it on Fedora 29 you need to follow my Fedora blog post.
For installation on Windows OS, you can read the official webpage.
Because I don't have a new CUDA GPU, the only one video card is an NVIDIA video card 740M on my laptop and my Linux is an Intel onboard video card, I''m not able to solve issues with CUDA and pytorch.
Anyway, this will be a good start to see how to use pytorch.
Let's start the install into default way on Scripts folder from my python version 3.6.4 folder installation.

C:\Python364\Scripts>pip3 install https://download.pytorch.org/whl/cpu/torch-1.0
.0-cp36-cp36m-win_amd64.whl
Collecting torch==1.0.0 from https://download.pytorch.org/whl/cpu/torch-1.0.0-cp
36-cp36m-win_amd64.whl
  Downloading https://download.pytorch.org/whl/cpu/torch-1.0.0-cp36-cp36m-win_am
d64.whl (71.0MB)
    100% |████████████████████████████████| 71.0MB 100kB/s
Installing collected packages: torch
  Found existing installation: torch 0.4.1
    Uninstalling torch-0.4.1:
      Successfully uninstalled torch-0.4.1
Successfully installed torch-1.0.0

C:\Python364\Scripts>pip3 install torchvision

After I install the pytorch python module I import the pytorch and torchvision python modules.
First, as I expected the CUDA feature:

>>> import torch
>>> torch.cuda.is_available()
False

Let's make another test with pytorch:

>>> x = torch.rand(76, 79)
>>> x.size()
torch.Size([76, 79])
>>> print(x)
tensor([[0.1981, 0.3841, 0.9276,  ..., 0.3753, 0.7137, 0.7702],
        [0.8202, 0.9564, 0.5590,  ..., 0.0914, 0.4983, 0.7163],
        [0.0864, 0.4588, 0.0669,  ..., 0.3939, 0.0318, 0.8650],
        ...,
        [0.9028, 0.8431, 0.8592,  ..., 0.3825, 0.2537, 0.7901],
        [0.2055, 0.3003, 0.8085,  ..., 0.0724, 0.9226, 0.9559],
        [0.3671, 0.1178, 0.3837,  ..., 0.7181, 0.5704, 0.9268]])
>>> torch.tensor([[1., -1.], [1., -1.]])
tensor([[ 1., -1.],
        [ 1., -1.]])
>>> torch.zeros([1, 4], dtype=torch.int32)
tensor([[0, 0, 0, 0]], dtype=torch.int32)
>>> torch.zeros([2, 4], dtype=torch.int32)
tensor([[0, 0, 0, 0],
        [0, 0, 0, 0]], dtype=torch.int32)
>>> torch.zeros([3, 4], dtype=torch.int32)
tensor([[0, 0, 0, 0],
        [0, 0, 0, 0],
        [0, 0, 0, 0]], dtype=torch.int32)

You can make many tests and check your instalation.
This is a screenshot with all features show by dir with pytorch and torchvision:

Python Qt5 : simple checkbox example.

Today we created a simple tutorial about QCheckBox and QLabel.
The purpose of this tutorial is to use QCheckBox in a GUI interface.
When we check QCheckBox, this will change the text from a QLabel.
The variables used by QCheckBox are my_checkbox and my_label for QLabel.
The result of my source code is this:

Let's see the source code:

# -*- coding: utf-8 -*-
"""
@author: catafest
"""
import sys
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QWidget, QCheckBox, QLabel, QApplication

class MyCheckBox(QWidget):
 def __init__(self):
  super().__init__()
 
  my_checkbox = QCheckBox("Check this , see result", self)
  my_checkbox.move(50,60)
  my_checkbox.stateChanged.connect(self.change_my_option)
  

  self.my_label = QLabel("You can visit free-tutorial.org ", self)
  self.my_label.move(50,30)

  #self.my_label.setAlignment(Qt.AlignCenter)
  
  self.setGeometry(420,420,640,100)
  self.setWindowTitle("free-tutorials.org PyQt5 ChecBox ")
  

  
 def change_my_option(self, state):
  if state  == Qt.Checked:
   self.my_label.setText("Thank's by free-tutorial.org")
  else:
   self.my_label.setText("You can visit free-tutorial.org")
   
if __name__ == '__main__':
 app = QApplication(sys.argv)
 win = MyCheckBox()
 win.show()
 sys.exit(app.exec_())

PySide2 and PyQt versions.

A short intro about this python module named PySide2 can be found on the Wikipedia webpage.
The purpose of this tutorial is to introduce concepts about licenses and develop python programs using ergonomic design interfaces with PySide2 and PyQt versions.

PySide2 is a Python binding of the cross-platform GUI toolkit Qt, currently developed by The Qt Company under the Qt for Python project. It is one of the alternatives to the standard library package Tkinter.
...
PySide was released under the LGPL in August 2009 by Nokia,[1] the former owners of the Qt toolkit, after Nokia failed to reach an agreement with PyQt developers Riverbank Computing[7] to change its licensing terms to include LGPL as an alternative license.
...

Now about the LGPL software license:

The GNU Lesser General Public License (LGPL) is a free software license published by the Free Software Foundation (FSF). The license allows developers and companies to use and integrate software released under the LGPL into their own (even proprietary) software without being required by the terms of a strong copyleft license to release the source code of their own components.

I wrote in the past about PySide and you can find on this blog or on my website.
Let's start installing Python using pip3.6.

C:\Python364>cd Scripts

C:\Python364\Scripts>pip3.6.exe install PySide2
Collecting PySide2
  Downloading https://files.pythonhosted.org/packages/10/ba/7448ec862655c356ade2
2351ed46c9260773186c37ba0d8ceea1ef8c7515/PySide2-5.11.2-5.11.2-cp35.cp36.cp37-no
ne-win_amd64.whl (128.7MB)
    100% |████████████████████████████████| 128.7MB 44kB/s
Installing collected packages: PySide2
Successfully installed PySide2-5.11.2

The PySide2 python module is another way to connect Qt with Python modules.
You can take a look at this python module at Qt website .
The source code is more simple but this can put the development in trouble if you try to follow the PyQt way.
Let's see a simple example. I create the main window for this example.

The layout of this window named main_layout is split into two: secondary_splitter_1 and secondary_splitter_2.
Into this, I add for each area the defined class named SecondaryWindow.
The four variables for this SecondaryWindow class are named like secondary_window_1, secondary_window_2, secondary_window_3 and secondary_window_4.
Interface programming with PySide2 and PyQt keeps a classic form of statements and then structured implementations. It seems simpler to create interfaces with PySide, but the development and community interest seems to be attracted to PyQt.
In both cases, the programming speed in the python programming language is required.
Error management is simpler and more limited in PySide2. I have noticed PyQt essential changes in developing even more advanced versions (see PyQt4 and PyQt5).
Let's see the source code:

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

class SecondaryWindow(QtWidgets.QWidget):

    def __init__(self, label, parent=None):
        super(SecondaryWindow, self).__init__(parent)

        self.label = QtWidgets.QLabel(label, parent=self)
        self.label.setAlignment(QtCore.Qt.AlignCenter)
        self.label.setStyleSheet("QLabel {font-size:18px;color:blue}")

        self.main_layout = QtWidgets.QVBoxLayout()
        self.main_layout.addWidget(self.label)
        self.setLayout(self.main_layout)

class MainWindow(QtWidgets.QWidget):

    def __init__(self, parent=None):
        super(MainWindow, self).__init__(parent)

        self.secondary_window_1 = SecondaryWindow("1", parent=self)
        self.secondary_window_2 = SecondaryWindow("2", parent=self)
        self.secondary_window_3 = SecondaryWindow("3", parent=self)
        self.secondary_window_4 = SecondaryWindow("4", parent=self)

        self.secondary_splitter_1 = QtWidgets.QSplitter(QtCore.Qt.Horizontal, parent=self)
        self.secondary_splitter_1.addWidget(self.secondary_window_1)
        self.secondary_splitter_1.addWidget(self.secondary_window_2)

        self.secondary_splitter_2 = QtWidgets.QSplitter(QtCore.Qt.Horizontal, parent=self)
        self.secondary_splitter_2.addWidget(self.secondary_window_3)
        self.secondary_splitter_2.addWidget(self.secondary_window_4)

        self.main_splitter = QtWidgets.QSplitter(QtCore.Qt.Vertical, parent=self)
        self.main_splitter.addWidget(self.secondary_splitter_1)
        self.main_splitter.addWidget(self.secondary_splitter_2)

        self.main_layout = QtWidgets.QVBoxLayout()
        self.main_layout.addWidget(self.main_splitter)
        self.setLayout(self.main_layout)

        self.setWindowTitle("PySide2 example")
        self.resize(220, 220)

if __name__ == "__main__":
    app = QApplication(sys.argv)
    main_window = MainWindow()
    main_window.show()
    sys.exit(app.exec_())

Python Qt5 : submenu example.

Using my old example I will create a submenu with PyQt5.
First, you need to know the submenu works like the menu.
Let's see the result:

The source code is very simple:

# -*- coding: utf-8 -*-
"""
@author: catafest
"""
import sys
from PyQt5.QtWidgets import QMainWindow, QAction, qApp, QApplication, QDesktopWidget, QMenu
from PyQt5.QtGui import QIcon

class Example(QMainWindow):
    #init the example class to draw the window application    
    def __init__(self):
        super().__init__()    
        self.initUI()
    #create the def center to select the center of the screen         
    def center(self):
        # geometry of the main window
        qr = self.frameGeometry()
        # center point of screen
        cp = QDesktopWidget().availableGeometry().center()
        # move rectangle's center point to screen's center point
        qr.moveCenter(cp)
        # top left of rectangle becomes top left of window centering it
        self.move(qr.topLeft())
    #create the init UI to draw the application
    def initUI(self):               
        #create the action for the exit application with shortcut and icon
        #you can add new action for File menu and any actions you need
        exitAct = QAction(QIcon('exit.png'), '&Exit', self)        
        exitAct.setShortcut('Ctrl+Q')
        exitAct.setStatusTip('Exit application')
        exitAct.triggered.connect(qApp.quit)
        #create the status bar for menu 
        self.statusBar()
        #create the menu with the text File , add the exit action 
        #you can add many items on menu with actions for each item
        menubar = self.menuBar()
        fileMenu = menubar.addMenu('&File')
        fileMenu.addAction(exitAct)
        
        # add submenu to menu 
        submenu = QMenu('Submenu',self)

        # some dummy actions
        submenu.addAction('Submenu 1')
        submenu.addAction('Submenu 2')
           
        # add to the top menu
        menubar.addMenu(submenu)
        #resize the window application 
        self.resize(640, 480)
        #draw on center of the screen 
        self.center()
        #add title on windows application 
        self.setWindowTitle('Simple menu')
        #show the application
        self.show()
        #close the UI class
        
if __name__ == '__main__':
    #create the application 
    app = QApplication(sys.argv)
    #use the UI with new  class
    ex = Example()
    #run the UI 
    sys.exit(app.exec_())

Using Google Classroom API with python.

Today I read and test Google API with the Python programming language.
You can find a good example here.
The example shows how to read with Google Classroom API, v1.
This example can be used as a default example if you want to use googlescopes.
The Google documentation tells us:
This document lists the OAuth 2.0 scopes that you might need to request to access Google APIs, depending on the level of access you need. Sensitive scopes require review by Google and have a sensitive indicator on the Google Cloud Platform (GCP) Console's OAuth consent screen configuration page. Many scopes overlap, so it's best to use a scope that isn't sensitive. For information about each method's scope requirements, see the individual API documentation.
The script use credentials.json file created by the Google project in the folder with the python script.
The script creates automatically when the authorization flow completes a token.json file.
The control of the project can be used with the Google Cloud Console.
The result of the example script can be seen in the next image: