Python Projects & Free Books
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Python Interview Projects & Free Courses

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Scrap Image from google using BeautifulSoup
import requests
from bs4 import BeautifulSoup as BSP

def get_image_urls(search_query):
url = f"https://www.google.com/search?q={search_query}&tbm=isch"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
}
rss = requests.get(url, headers=headers)
soup = BSP(rss.content, "html.parser")

all_img = []
for img in soup.find_all('img'):
src = img['src']
if not src.endswith("gif"):
all_img.append(src)

return all_img

print(get_image_urls("boy"))
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Scrap Image from bing using BeautifulSoup
import requests
from bs4 import BeautifulSoup as BSP

def split_url(url):
return url.split('&')[0]

def get_image_urls(search_query):
url = f"https://cn.bing.com/images/search?q={search_query}&first=1&cw=1177&ch=678"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
}
rss = requests.get(url, headers=headers)
soup = BSP(rss.content, "html.parser")

all_img = []
for img in soup.find_all('img'):
img_url = img.get('src2')
if img_url and img_url.startswith('https://tse2.mm.bing.net/'):
img_url = split_url(img_url)
all_img.append(img_url)

return all_img

print(get_image_urls("cat"))


sample response :
['https://tse2.mm.bing.net/th?q=Cat+Portrait', ...']
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Tips to Merge two dictionary

boy={"ram":70,"Sundar":80}

girl={"riya":80,"Sonali":70}

student=boy | girl

print(student)
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Essential Python Libraries for Data Analytics πŸ˜„πŸ‘‡

Python Free Resources: https://t.me/pythondevelopersindia

1. NumPy:
- Efficient numerical operations and array manipulation.

2. Pandas:
- Data manipulation and analysis with powerful data structures (DataFrame, Series).

3. Matplotlib:
- 2D plotting library for creating visualizations.

4. Scikit-learn:
- Machine learning toolkit for classification, regression, clustering, etc.

5. TensorFlow:
- Open-source machine learning framework for building and deploying ML models.

6. PyTorch:
- Deep learning library, particularly popular for neural network research.

7. Django:
- High-level web framework for building robust, scalable web applications.

8. Flask:
- Lightweight web framework for building smaller web applications and APIs.

9. Requests:
- HTTP library for making HTTP requests.

10. Beautiful Soup:
- Web scraping library for pulling data out of HTML and XML files.

As a beginner, you can start with Pandas and Numpy libraries for data analysis. If you want to transition from Data Analyst to Data Scientist, then you can start applying ML libraries like Scikit-learn, Tensorflow, Pytorch, etc. in your data projects.

Share with credits: https://t.me/sqlspecialist

Hope it helps :)
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Python code To download from Youtube βš™

from pytube import YouTube

# Enter the YouTube video URL
url = "https://www.youtube.com/watch?v=dQw4w9WgXcQ"

# Create a YouTube object with the URL
yt = YouTube(url)

# Select the highest resolution video
video = yt.streams.get_highest_resolution()

# Set the output directory and filename
output_dir = "/storage/emulated/0/Documents/"
filename = yt.title+".mp4"

# Download the video
video.download(output_dir, filename)

print(f"Download complete: {filename}")
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Building_Modern_GUIs_with_Tkinter_and_Python_Building_user_friendly.pdf
25.4 MB
Building Modern GUIs with Tkinter and Python
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πŸ‘©β€πŸ«πŸ§‘β€πŸ« PROGRAMMING LANGUAGES YOU SHOULD LEARN TO BECOME.

βš”οΈ[ Web Developer]
PHP, C#, JS, JAVA, Python, Ruby

βš”οΈ[ Game Developer]
Java, C++, Python, JS, Ruby, C, C#

βš”οΈ[ Data Analysis]
R, Matlab, Java, Python

βš”οΈ[ Desktop Developer]
Java, C#, C++, Python

βš”οΈ[ Embedded System Program]
C, Python, C++

βš”οΈ[Mobile Apps Development]
Kotlin, Dart, Objective-C, Java, Python, JS, Swift, C#
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Tip : Use the zip() function to iterate over multiple iterables simultaneously

Example:

# Create two lists
names = ["John", "Mary", "Bob"]
ages = [30, 25, 40]

# Iterate over both lists using zip()
for name, age in zip(names, ages):
print(f"{name} is {age} years old.")

Benefits:

* Simplifies the process of iterating over multiple lists or tuples
* Ensures that the elements from corresponding lists are aligned

Language: Python
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πŸ”° 100 Days of Code – The Complete Python Pro Bootcamp for 2022

https://t.me/PythonInterviews/118

⏱ 60 Hours πŸ“¦ 230 Lessons

At 56+ hours, this Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional.

Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!

Taught By: Dr. Angela Yu

Download Full Course: https://t.me/PythonInterviews/118
Download All Courses: https://t.me/pythonfreebootcamp
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ScientificPythonLectures.pdf
17.4 MB
Scientific Python Lectures
GaΓ«l Varoquaux et al, 2024
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Python.Machine.Learning.Projects.pdf
6.4 MB
Python Machine Learning Projects
Автор:
Dr. Deepali R Vora
advanced-data-science-and-analytics-with-python.pdf
22 MB
Advanced data science and analytics with python (2020)
Автор:
JesΓΊs Rogel-Salazar
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Convert Image to text

import pytesseract as t
from PIL import Image
img = Image.open("photo.jpg")
text = t.image_to_string(img)
print(text)
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⌨️ Extract Text from PDFs with Python

Need to extract text from PDF files? Python makes it easy with the PyPDF2 library!

First, install the necessary module:
pip install PyPDF2


Then, use this script:
import PyPDF2

# https://t.me/pythonfreebootcamp

pdf_file = 'sample.pdf'
with open(pdf_file, 'rb') as file:
reader = PyPDF2.PdfFileReader(file)
text = ''
for page_num in range(reader.numPages):
page = reader.getPage(page_num)
text += page.extractText()

print(text)


Effortlessly convert PDF content into text format for easy manipulation and analysis!
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