In this post we'll see how SQLite3 allows for interaction with databases in Python, through SQL syntax by making a small program. This application "COVRI Training " allows a user to select a course from our training program in programming languages along with the training duration and an option to do project based training along with the basic training.
The GUI for application to be developed is shown below:
![](data:image/png;base64,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)
Let's start coding to implement the GUI of our COVRI Training application as shown above. First step as always is to import relevant libraries,the Tkinter to build the GUI and SQLite3 for interaction with the database. Tkinter and SQLite3 are libraries that come with the standard Python library.
from tkinter import *
import sqlite3 as sq
Next step will be creating root window:
window = Tk()
window.title("COVRI Training")
window.geometry('800x600+0+0')
header = Label(window, text="Available courses", font=("arial",30,"bold"), fg="goldenrod").pack()
The root window is created and assigned to ‘window’this can be any variable, sometimes I use root. The title of the root window is set to "COVRI Training"and the size of the window is set. We can input text to form a header for the GUI. This is done via the ‘header’ variable. Our header is set to "Available courses".
Once the widow is available we create our widgets which includes list boxes, labels and buttons. As per requirement the following information is needed to store a record in the database:
Select Course
Duration(months)
Want Projects(Y/N) ?
Accordingly we'll set the labels for the above mentioned information:
L1 = Label(window, text = "Select Course", font=("arial", 18)).place(x=10,y=100)
L2 = Label(window, text = "Duration(months)", font=("arial",18)).place(x=10,y=150)
L3 = Label(window, text = "Want Projects(Y/N) ?", font=("arial",18)).place(x=10,y=200)
As we have already discussed about labels I'm not covering the details but one thing to notice is that the place() method is used to set the labels in the window.
In COVRI training I have included 'Python', 'Java', 'PHP', and 'Javascript' as the languages to be taught. I'll create a dictionary to store these language options:
planguages = {'Python', 'Java', 'PHP','Javascript'}
As I prefer the user to select a language from a drop down, I create the drop down list using the ‘OptionMenu’ function. But we need a variable for the languages which will be used in the OptionMenu function thus we define it first:
lvar = StringVar(window)
lvar .set('----')
The arguments for the OptionMenu function are the root window, the variable for the languages (set above) and the dictionary planguages :
langd= OptionMenu(window, comp, *compound)
The option menu is placed next to the Select course label:
langd.place(x=220,y=105)
Now we will set the text boxes so that users can input the relevant data. Tkinter provides the ‘Entry’ function to place text boxes into the GUI. First we declare two variables:
duration = StringVar(window)
wpro = StringVar(window)
Then use them in the Entry widget.
durationT = Entry(window, textvariable=duration)
durationT.place(x=220,y=155)
wproT = Entry(window, textvariable=wpro)
wproT.place(x=220,y=205)
These widgets are placed next to their respective labels in the GUI. So far we have developed our application to accept user input. Now the next challenge is to store the date in to a database from where it can be retrieved as and when required.
We'll begin with created a database using:
con = sq.connect('mycourses.db')
This statement creates a database if it doesn't exists and then establishes a connection to it. Next we create a cursor ( details we have covered in the previous posts)
c = con.cursor()
The cursor will allow us to call on the ‘execute’ method, which will allow for SQL commands. The execute method will allow for a table to be created based off the selected compound lift in the drop down menu.To get the text from the entry boxes and store in the database we define a get():
def get():
c.execute('CREATE TABLE IF NOT EXISTS ' +lvar .get()+ ' (Duration INTEGER, PROJECTS TEXT)') #SQL syntax
c.execute('INSERT INTO ' +lvar .get()+ ' (Duration, PROJECTS) VALUES (?, ?)',(duration.get(), wpro.get())) #Insert record into database.
con.commit()
Next we create a submit button which will use this get() and allows user to store his entry in to the database:
button_1 = Button(window, text="Submit",command=get)
button_1.place(x=100,y=300)
To reset the entry fields after the submit button is clicked add this to the get()
lvar .set('----')
duration.set('')
wpro.set('')
We also prefer to keep a clear button in case the user wants to change/edit his selection. The functionality of this button will be implemented in a newly defined clear():
def clear():
lvar .set('----')
compdb.set('----')
duration.set('')
wpro.set('')
The clear button can be created as shown below:
button_2 = Button(window,text= "Clear",command=clear)
button_2.place(x=10,y=300)
The view button can be created as shown below:
button_3 = Button(window,text="View",command=record)
button_3.place(x=10,y=350)
To display the output for the view button we have created a frame. Within this frame a list box with scroll bar is created. In this list we first enter the Duration and Project labels by using:
Lb.insert(0, 'Duration Projects')
Then we fetch the data from the table using:
data = c.fetchall()
Then using a for loop we insert the data in the list box:
for row in data:
Lb.insert(1,row)
It's better to display the name of selected language above the list box for this we create another label and place above the list box:
L4 = Label(window, text = compdb.get()+ ' ',
font=("arial", 16)).place(x=400,y=100)
Similarly we display a message "Details for selected course" below the list box with the help of a new label created as shown below:
L5 = Label(window, text = "Details for selected course",
font=("arial", 16)).place(x=400,y=350)
Remember to keep the created window open using the window.mainloop().
This application is a good exercise to use whatever we've covered so far for tkinter and sqlite. Once the program is completed it should give the following output:
![](data:image/png;base64,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)
The complete functionality is shown in the following screenshots:
![](data:image/png;base64,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)
Enter a few more records for Java and submit to database. Then view the records as shown:
![](data:image/png;base64,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)
Once view is clicked the output changes to:
![](data:image/png;base64,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)
Here today's topic comes to end. Hopefully you should be able to develop this simple application and test how far you have mastered tkinter and sqlite. This application is built just to explain how to use tkinter with sqlite database and can be made much better.
Till we meet next, keep practicing and learning Python as Python is easy to learn!
The GUI for application to be developed is shown below:
Let's start coding to implement the GUI of our COVRI Training application as shown above. First step as always is to import relevant libraries,the Tkinter to build the GUI and SQLite3 for interaction with the database. Tkinter and SQLite3 are libraries that come with the standard Python library.
from tkinter import *
import sqlite3 as sq
Next step will be creating root window:
window = Tk()
window.title("COVRI Training")
window.geometry('800x600+0+0')
header = Label(window, text="Available courses", font=("arial",30,"bold"), fg="goldenrod").pack()
The root window is created and assigned to ‘window’this can be any variable, sometimes I use root. The title of the root window is set to "COVRI Training"and the size of the window is set. We can input text to form a header for the GUI. This is done via the ‘header’ variable. Our header is set to "Available courses".
Once the widow is available we create our widgets which includes list boxes, labels and buttons. As per requirement the following information is needed to store a record in the database:
Select Course
Duration(months)
Want Projects(Y/N) ?
Accordingly we'll set the labels for the above mentioned information:
L1 = Label(window, text = "Select Course", font=("arial", 18)).place(x=10,y=100)
L2 = Label(window, text = "Duration(months)", font=("arial",18)).place(x=10,y=150)
L3 = Label(window, text = "Want Projects(Y/N) ?", font=("arial",18)).place(x=10,y=200)
As we have already discussed about labels I'm not covering the details but one thing to notice is that the place() method is used to set the labels in the window.
In COVRI training I have included 'Python', 'Java', 'PHP', and 'Javascript' as the languages to be taught. I'll create a dictionary to store these language options:
planguages = {'Python', 'Java', 'PHP','Javascript'}
As I prefer the user to select a language from a drop down, I create the drop down list using the ‘OptionMenu’ function. But we need a variable for the languages which will be used in the OptionMenu function thus we define it first:
lvar = StringVar(window)
lvar .set('----')
The arguments for the OptionMenu function are the root window, the variable for the languages (set above) and the dictionary planguages :
langd= OptionMenu(window, comp, *compound)
The option menu is placed next to the Select course label:
langd.place(x=220,y=105)
Now we will set the text boxes so that users can input the relevant data. Tkinter provides the ‘Entry’ function to place text boxes into the GUI. First we declare two variables:
duration = StringVar(window)
wpro = StringVar(window)
Then use them in the Entry widget.
durationT = Entry(window, textvariable=duration)
durationT.place(x=220,y=155)
wproT = Entry(window, textvariable=wpro)
wproT.place(x=220,y=205)
These widgets are placed next to their respective labels in the GUI. So far we have developed our application to accept user input. Now the next challenge is to store the date in to a database from where it can be retrieved as and when required.
We'll begin with created a database using:
con = sq.connect('mycourses.db')
This statement creates a database if it doesn't exists and then establishes a connection to it. Next we create a cursor ( details we have covered in the previous posts)
c = con.cursor()
The cursor will allow us to call on the ‘execute’ method, which will allow for SQL commands. The execute method will allow for a table to be created based off the selected compound lift in the drop down menu.To get the text from the entry boxes and store in the database we define a get():
def get():
c.execute('CREATE TABLE IF NOT EXISTS ' +lvar .get()+ ' (Duration INTEGER, PROJECTS TEXT)') #SQL syntax
c.execute('INSERT INTO ' +lvar .get()+ ' (Duration, PROJECTS) VALUES (?, ?)',(duration.get(), wpro.get())) #Insert record into database.
con.commit()
Next we create a submit button which will use this get() and allows user to store his entry in to the database:
button_1 = Button(window, text="Submit",command=get)
button_1.place(x=100,y=300)
To reset the entry fields after the submit button is clicked add this to the get()
lvar .set('----')
duration.set('')
wpro.set('')
We also prefer to keep a clear button in case the user wants to change/edit his selection. The functionality of this button will be implemented in a newly defined clear():
def clear():
lvar .set('----')
compdb.set('----')
duration.set('')
wpro.set('')
The clear button can be created as shown below:
button_2 = Button(window,text= "Clear",command=clear)
button_2.place(x=10,y=300)
The application now can get input from a user and store in the database. Next we plan a View button which when clicked allows us to view the entries related to our programming languages.
We create a record function which implements the functionality of the view button. We first create another variable for the second dropdown list:
langdb = StringVar(window)
langdb .set('----')
def record():
c.execute('SELECT * FROM ' +langdb .get()) #Select from which ever language is selected
frame = Frame(window)
frame.place(x= 400, y = 150)
Lb = Listbox(frame, height = 8, width = 25,font=("arial", 12))
Lb.pack(side = LEFT, fill = Y)
scroll = Scrollbar(frame, orient = VERTICAL)
scroll.config(command = Lb.yview)
scroll.pack(side = RIGHT, fill = Y)
Lb.config(yscrollcommand = scroll.set)
Lb.insert(0, 'Duration, Projects')
data = c.fetchall()
for row in data:
Lb.insert(1,row) # Inserts record row by row in list box
L4 = Label(window, text = langdb .get()+ ' ',
font=("arial", 16)).place(x=400,y=100)
L5 = Label(window, text = "Details for selected course",
font=("arial", 16)).place(x=400,y=350)
con.commit()
The view button can be created as shown below:
button_3 = Button(window,text="View",command=record)
button_3.place(x=10,y=350)
To display the output for the view button we have created a frame. Within this frame a list box with scroll bar is created. In this list we first enter the Duration and Project labels by using:
Lb.insert(0, 'Duration Projects')
Then we fetch the data from the table using:
data = c.fetchall()
Then using a for loop we insert the data in the list box:
for row in data:
Lb.insert(1,row)
It's better to display the name of selected language above the list box for this we create another label and place above the list box:
L4 = Label(window, text = compdb.get()+ ' ',
font=("arial", 16)).place(x=400,y=100)
Similarly we display a message "Details for selected course" below the list box with the help of a new label created as shown below:
L5 = Label(window, text = "Details for selected course",
font=("arial", 16)).place(x=400,y=350)
Remember to keep the created window open using the window.mainloop().
This application is a good exercise to use whatever we've covered so far for tkinter and sqlite. Once the program is completed it should give the following output:
The complete functionality is shown in the following screenshots:
Enter a few more records for Java and submit to database. Then view the records as shown:
Once view is clicked the output changes to:
Here today's topic comes to end. Hopefully you should be able to develop this simple application and test how far you have mastered tkinter and sqlite. This application is built just to explain how to use tkinter with sqlite database and can be made much better.
Till we meet next, keep practicing and learning Python as Python is easy to learn!
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