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Hajar BEN KASEM

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Automating Tasks with Python

Automating Tasks with Python

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Automating Tasks with Python

Automation is one of Python’s biggest strengths. With its rich set of libraries and simplicity, Python can be used to automate repetitive tasks such as file management, email sending, web scraping, and much more.

             L'automatisation des tâches pour augmenter la productivité

1. Why Automate with Python?

Automation helps to:
✅ Save time on repetitive tasks.
✅ Reduce human errors.
✅ Increase productivity.

Python is an excellent choice because it is:
✔ Easy to learn and use.
✔ Packed with powerful libraries.
✔ Supported by a vast community.

2. Examples of Task Automation with Python

a) Automating File Management

Python allows renaming, moving, or deleting files automatically.

📌 Example: Renaming multiple files in a folder

    import os
folder_path = "path/to/your/folder"
for index, filename in enumerate(os.listdir(folder_path)):
    new_name = f"file_{index}.txt"
    os.rename(os.path.join(folder_path, filename), os.path.join(folder_path, new_name))

b) Sending Automated Emails

Python can be used to send emails via SMTP.

📌 Example: Sending an email using smtplib

    import smtplib
from email.message import EmailMessage

email = EmailMessage()
email['From'] = "your.email@gmail.com"
email['To'] = "recipient@gmail.com"
email['Subject'] = "Automated Email"
email.set_content("This is an email sent automatically with Python.")

with smtplib.SMTP_SSL('smtp.gmail.com', 465) as smtp:
    smtp.login("your.email@gmail.com", "your_password")
    smtp.send_message(email)

c) Automating Web Scraping (Extracting Data from Websites)

With BeautifulSoup and requests, Python can retrieve data from a website automatically.

📌 Example: Extracting titles from a website

    import requests
from bs4 import BeautifulSoup

url = "https://example.com"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

for title in soup.find_all('h2'):
    print(title.text)

3. Going Further with Automation

Python can also automate:

  • Report generation (pandas, matplotlib).
  • Interaction with Excel files (openpyxl, pandas).
  • Software testing (selenium).

       

 

                        Python Pandas Tutorial

Conclusion

Automating tasks with Python is a powerful way to improve efficiency. By mastering a few libraries, you can optimize your workflow and boost productivity. 🚀

Python

Loops and Conditions in Python

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Conditional Statements in Python

Python provides the following conditional structures:

  • if condition: Executes a block of code if the condition is true.
  • if…else condition: Executes one block of code if the condition is true and another if it is false.
  • if…elif…else condition: Checks multiple conditions sequentially and executes the first matching block.

Example

    age = int(input("Enter your age: "))

if age >= 18:

                  print("You are an adult.")

elif age >= 13:

                print("You are a teenager.")

else:

                print("You are a child.")

Boolean Operators in Python

  • and: Returns True if both conditions are true.
  • or: Returns True if at least one condition is true.
  • not: Inverts a boolean value.

  • And and Or

 

 

 

Exemple

    name = "Samir"
age = 23
if name == "Samir" and age == 23:
           print("Your name is Samir, and you are also 23 years old.")
if name == "Samir" or name == "Sam":
            print("Your name is either Samir or Sam.")

  • “in”Operator

Exemple

    name = "Samir"
if name in ["Samir", "Sam"]:
          print("Your name is either Samir or Sam.")

Loops in Python

Python provides two main types of loops: for and while.

1. For Loop

The For loop is used to iterate over a sequence (such as a list, tuple, or string).

    for element in sequence:
    # instructions

Exemple

    for i in range(4):
    print("I am number:", i)

Output

    I am number: 0  
I am number: 1  
I am number: 2  
I am number: 3

! Note 

  • Always pay attention to indentation.
  • Nested loops are possible.
  • The instruction block can contain conditions.

2. While Loop

The While loop executes instructions as long as a condition is true.

    while condition:
        # instructions

Exemple

    compter = 0
while compter < 5:
    print(compter)
    compter += 1

Output

    0
1
2
3
4

!Note

  • Be careful with indentation at all times.
  • Nested loops are possible.
  • The block of instructions can contain conditions.

Understanding continue and break in Python

In Python, continue and break are control flow statements that alter the behavior of loops.

The continue Statement

The continue statement is used to skip the current iteration of a loop and move to the next one. In the example below, when the loop reaches the condition where i equals 3, it will skip the print statement for that iteration

The break Statement

On the other hand, the break statement is used to exit a loop prematurely. In the example below, when i equals 3, the loop will terminate entirely:

Exemple Continue

    for i in val:
    if i == 3:
        continue
    print("bonjour!!!!", i)

Output

    bonjour!!!! 1
bonjour!!!! 2
bonjour!!!! 4
bonjour!!!! 5

Exemple Break

    for i in val:
    if i == 3:
        break
    print("bonjour!!!!", i)

Output

    bonjour!!!! 1
bonjour!!!! 2

By using continue and break, you can effectively control the flow of your loops based on specific conditions, enhancing the functionality of your Python programs.