Python | Machine Learning | Coding

🖥 Unraveling the Magic of Sorting: A Python Guide for Novices

▪Bubble Sort

def bubble_sort(list):
    for i in range(len(list)):
        for j in range(len(list) - 1):
            if list[j] > list[j + 1]:
                list[j], list[j + 1] = list[j + 1], list[j] # swap
    return list

▪Selection Sort

def selection_sort(list):
    for i in range(len(list)):
        min_index = i
        for j in range(i + 1, len(list)):
            if list[min_index] > list[j]:
                min_index = j
        list[i], list[min_index] = list[min_index], list[i] # swap
    return list

▪Insertion Sort

def insertion_sort(list):
    for i in range(1, len(list)):
        key = list[i]
        j = i - 1
        while j >=0 and key < list[j] :
            list[j+1] = list[j]
            j -= 1
        list[j+1] = key
    return list

▪Quick Sort

def partition(array, low, high):
    i = (low-1)
    pivot = array[high]

    for j in range(low, high):
        if array[j] <= pivot:
            i = i+1
            array[i], array[j] = array[j], array[i]
    array[i+1], array[high] = array[high], array[i+1]
    return (i+1)

def quick_sort(array, low, high):
    if len(array) == 1:
        return array
    if low < high:
        partition_index = partition(array, low, high)
        quick_sort(array, low, partition_index-1)
        quick_sort(array, partition_index+1, high)

https://t.me/CodeProgrammer

5.3K viewsedited 11:13

Python | Machine Learning | Coding | R

NumPy Tutorial: Your First Steps Into Data Science in Python

https://realpython.com/numpy-tutorial

https://t.me/CodeProgrammer

5.3K viewsedited 10:28

Python | Machine Learning | Coding | R

Building an Image Recognition API using Flask.

Step 1: Set up the project environment

1. Create a new directory for your project and navigate to it.
2. Create a virtual environment (optional but recommended):
(Image 1.)
3. Install the necessary libraries (image 2.)

Step 2: Create a Flask Web Application
Create a new file called app.py in the project directory (image 3.)

Step 3: Launch the Flask Application
Save the changes and run the Flask application (image 4.)

Step 4: Test the API
Your API is now up and running and you can send images to /predict via HTTP POST requests.
You can use tools such as curl or Postman to test the API.
• An example of using curl (image 5.)
• An example using Python queries (image 6.)

https://t.me/DataScienceT

5.4K views16:43

Python | Machine Learning | Coding | R

📩 Python Email Automation Script

import smtplib
from email.mime.text import MIMEText


sender_email = "your_email@example.com"
recipient_email = "recipient_email@example.com"

subject = "Automated Email"
message = "This is an automated email sent using Python."


# SMTP server configuration (example: Gmail)


smtp_server = "smtp.gmail.com"
smtp_port = 587
smtp_username = "your_username"
smtp_password = "your_password"



msg = MIMEText(message)
msg["Subject"] = subject
msg["From"] = sender_email
msg["To"] = recipient_email
try:

    server = smtplib.SMTP(smtp_server, smtp_port)
    server.starttls()
       server.login(smtp_username, smtp_password)
    server.sendmail(sender_email, recipient_email, msg.as_string())
    print("Email sent successfully!")
    
except Exception as e:
    print("Error sending email:", str(e))
    
finally:

    server.quit()

https://t.me/DataScienceT

5.5K views03:24

Python | Machine Learning | Coding | R

Customize the Django Admin With Python

https://realpython.com/customize-django-admin-python/

https://t.me/CodeProgrammer

5.8K viewsedited 05:27

Python | Machine Learning | Coding | R

5.6K views12:28

Python | Machine Learning | Coding | R

We launched a special bot some time ago to download all scientific, software and mathematics books The bot contains more than thirty million books, and new books are downloaded first, In addition to the possibility of downloading all articles and scientific papers for free

To request a subscription: talk to @Hussein_Sheikho

5.6K views21:52

Python | Machine Learning | Coding | R

Generative Adversarial Networks

https://realpython.com/generative-adversarial-networks

https://t.me/CodeProgrammer

5.9K viewsedited 05:01

Python | Machine Learning | Coding | R

Deep Learning
NLP
AI
Python
ML
Data Mining
Tensorflow
Keras

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@Machine_learn

6.2K views12:20

Python | Machine Learning | Coding | R

Important book
50 Algorithms Every Programmer Should Know (2023)

Read it
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Data Science Machine Learning Data Analysis Books

📚 50 Algorithms Every Programmer Should Know (2023)

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6.0K views05:39

Python | Machine Learning | Coding | R

A gentle introduction to K-Means Clustering in #R.

Featuring Tidyclust

https://www.business-science.io/code-tools/2023/07/06/kmeans-clustering.html

https://t.me/CodeProgrammer

6.1K viewsedited 16:19

Python | Machine Learning | Coding | R

Django Roadmap

Link 1: https://github.com/HHHMHA/django-roadmap

Link 2:
https://github.com/faresemad/Django-Roadmap

Share this roadmap for your friends
https://t.me/CodeProgrammer

5.7K viewsedited 08:23

Python | Machine Learning | Coding | R

Forwarded from Eng. Hussein Sheikho 👨‍💻

This channels is for Programmers, Coders, Software Engineers.

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73.9K views18:03

Python | Machine Learning | Coding | R

🚀 Python code that can send WhatsApp messages, send emails, and send SMS messages to a number.

https://t.me/CodeProgrammer

5.7K viewsedited 13:35

Python | Machine Learning | Coding | R

machinelearningAIDeep_resume.pdf

45.4 MB

Cheat Sheets for AI Neural Networks, Machine Learning, DeepLearning & Big Data

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New channel 👆👆👆👆👆👆

6.0K viewsedited 08:29

Python | Machine Learning | Coding | R

Forwarded from Data Science Machine Learning Data Analysis Books

Machine Learning with Python (2023)

This book is available now only in paid channel

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Paid channel contain important book and udemy and other courses as zip files

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5.3K views12:10

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