Python code To download from Youtube ⚙
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.noscript+".mp4"
# Download the video
video.download(output_dir, filename)
print(f"Download complete: {filename}")👍40
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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👩🏫🧑🏫 PROGRAMMING LANGUAGES YOU SHOULD LEARN TO BECOME.
⚔️[ Web Developer]
⚔️[ Game Developer]
⚔️[ Data Analysis]
⚔️[ Desktop Developer]
⚔️[ Embedded System Program]
⚔️[Mobile Apps Development]
⚔️[ Web Developer]
PHP, C#, JS, JAVA, Python, Ruby⚔️[ Game Developer]
Java, C++, Python, JS, Ruby, C, C#⚔️[ Data Analysis]
R, Matlab, Java, Python⚔️[ Desktop Developer]
Java, C#, C++, Python⚔️[ Embedded System Program]
C, Python, C++ ⚔️[Mobile Apps Development]
Kotlin, Dart, Objective-C, Java, Python, JS, Swift, C#👍18
Tip : Use the zip() function to iterate over multiple iterables simultaneously
Example:
Benefits:
* Simplifies the process of iterating over multiple lists or tuples
* Ensures that the elements from corresponding lists are aligned
Language:
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👍31👏1
🔰 100 Days of Code – The Complete Python Pro Bootcamp for 2022
https://news.1rj.ru/str/PythonInterviews/118
⏱ 60 Hours 📦 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
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Download All Courses: https://news.1rj.ru/str/pythonfreebootcamp
https://news.1rj.ru/str/PythonInterviews/118
⏱ 60 Hours 📦 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://news.1rj.ru/str/PythonInterviews/118
Download All Courses: https://news.1rj.ru/str/pythonfreebootcamp
👍24
Python.Machine.Learning.Projects.pdf
6.4 MB
Python Machine Learning Projects
Автор: Dr. Deepali R Vora
Автор: Dr. Deepali R Vora
advanced-data-science-and-analytics-with-python.pdf
22 MB
Advanced data science and analytics with python (2020)
Автор: Jesús Rogel-Salazar
Автор: Jesús 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:
Then, use this noscript:
Effortlessly convert PDF content into text format for easy manipulation and analysis!
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 noscript:
import PyPDF2
# https://news.1rj.ru/str/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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Python noscript that generates a QR code from user-provided text or a URL using the
Here's how the noscript works:
1. The
2. The
3. Inside the function, a
4. The
5. The
6. The
7. The
8. In the
9. The
To run the noscript, save it to a file (e.g.,
Note that you need to have the
Feel free to modify the noscript according to your needs, such as adding error handling, customizing the QR code appearance, or integrating it with a graphical user interface (GUI) framework like Tkinter or PyQt.
qrcode library:import qrcode
def generate_qr_code(data, filename):
# Create a QR code instance
qr = qrcode.QRCode(
version=1,
error_correction=qrcode.constants.ERROR_CORRECT_L,
box_size=10,
border=4,
)
# Add the data to the QR code
qr.add_data(data)
qr.make(fit=True)
# Generate the QR code image
img = qr.make_image(fill_color="black", back_color="white")
# Save the QR code image to a file
img.save(filename)
print(f"QR code saved as '{filename}'")
if __name__ == "__main__":
print("QR Code Generator")
data = input("Enter the text or URL to encode: ")
filename = input("Enter the filename (e.g., qrcode.png): ")
# Generate the QR code
generate_qr_code(data, filename)
Here's how the noscript works:
1. The
qrcode library is imported to generate QR codes.2. The
generate_qr_code function takes two arguments: data (the text or URL to encode) and filename (the name of the file to save the QR code image).3. Inside the function, a
QRCode instance is created with some configuration options, such as version, error correction level, box size, and border width.4. The
add_data method is called to add the provided data to the QR code.5. The
make method is called to generate the QR code image.6. The
make_image method is used to create a PIL image object from the QR code, specifying the fill color (black) and background color (white).7. The
save method is called on the image object to save the QR code image to the specified filename.8. In the
if __name__ == "__main__": block, the noscript prompts the user to enter the text or URL to encode and the filename for the QR code image.9. The
generate_qr_code function is called with the user-provided data and filename.To run the noscript, save it to a file (e.g.,
qr_code_generator.py) and execute it using the Python interpreter. You'll be prompted to enter the text or URL to encode and the filename for the QR code image. After providing the necessary input, the noscript will generate the QR code image and save it to the specified filename.Note that you need to have the
qrcode library installed. You can install it using pip:pip install qrcode
Feel free to modify the noscript according to your needs, such as adding error handling, customizing the QR code appearance, or integrating it with a graphical user interface (GUI) framework like Tkinter or PyQt.
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Top 7 Python projects in 2024, offering a mix of web development, machine learning, data visualization, and utility applications:
1. Django 4.0 Web Development:
- Denoscription: Utilize the latest version of Django to build scalable web applications. Django 4.0 brings new features and improvements, making it easier to develop robust web solutions.
- Skills: Web development, database management, Django ORM.
- Example: Building an e-commerce site or a blog platform [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
2. Transformers for Natural Language Processing:
- Denoscription: Use transformer models like GPT-4 for various NLP tasks such as text classification, sentiment analysis, and text generation.
- Skills: Machine learning, NLP, working with pre-trained models.
- Example: Creating a chatbot or a sentiment analysis tool [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
3. Typer for CLI Applications:
- Denoscription: Typer is a library for building command-line interfaces (CLIs) with ease using Python's type hints.
- Skills: CLI development, Python noscripting.
- Example: Developing a CLI tool for managing tasks or interacting with APIs [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
4. Dash for Data Visualization:
- Denoscription: Create interactive and customizable web-based data visualizations using Dash, which is built on Flask and Plotly.
- Skills: Data visualization, web development, handling real-time data.
- Example: Developing dashboards for business analytics or monitoring IoT devices [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
5. PySyft for Decentralized Machine Learning:
- Denoscription: PySyft extends PyTorch and TensorFlow to enable secure, privacy-preserving, and decentralized machine learning.
- Skills: Federated learning, data privacy, distributed computing.
- Example: Implementing a federated learning system for collaborative model training across multiple devices [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
6. Real-Time Video Processing with Chromakey:
- Denoscription: Build applications that apply chromakey effects (green screen) to videos in real-time using HTML, CSS, and JavaScript integrated with Python.
- Skills: Video processing, web development, real-time data handling.
- Example: Creating a virtual background application for video conferencing [[❞]](https://dev.to/mukeshkuiry/25-web-development-projects-you-must-work-on-2024-4onl).
7. PyInstaller for Creating Standalone Executables:
- Denoscription: Use PyInstaller to package Python applications into standalone executables, making distribution simpler and more user-friendly.
- Skills: Software packaging, application distribution.
- Example: Packaging a Python noscript into an executable for Windows, Mac, or Linux systems [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
ENJOY LEARNING 👍👍
1. Django 4.0 Web Development:
- Denoscription: Utilize the latest version of Django to build scalable web applications. Django 4.0 brings new features and improvements, making it easier to develop robust web solutions.
- Skills: Web development, database management, Django ORM.
- Example: Building an e-commerce site or a blog platform [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
2. Transformers for Natural Language Processing:
- Denoscription: Use transformer models like GPT-4 for various NLP tasks such as text classification, sentiment analysis, and text generation.
- Skills: Machine learning, NLP, working with pre-trained models.
- Example: Creating a chatbot or a sentiment analysis tool [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
3. Typer for CLI Applications:
- Denoscription: Typer is a library for building command-line interfaces (CLIs) with ease using Python's type hints.
- Skills: CLI development, Python noscripting.
- Example: Developing a CLI tool for managing tasks or interacting with APIs [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
4. Dash for Data Visualization:
- Denoscription: Create interactive and customizable web-based data visualizations using Dash, which is built on Flask and Plotly.
- Skills: Data visualization, web development, handling real-time data.
- Example: Developing dashboards for business analytics or monitoring IoT devices [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
5. PySyft for Decentralized Machine Learning:
- Denoscription: PySyft extends PyTorch and TensorFlow to enable secure, privacy-preserving, and decentralized machine learning.
- Skills: Federated learning, data privacy, distributed computing.
- Example: Implementing a federated learning system for collaborative model training across multiple devices [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
6. Real-Time Video Processing with Chromakey:
- Denoscription: Build applications that apply chromakey effects (green screen) to videos in real-time using HTML, CSS, and JavaScript integrated with Python.
- Skills: Video processing, web development, real-time data handling.
- Example: Creating a virtual background application for video conferencing [[❞]](https://dev.to/mukeshkuiry/25-web-development-projects-you-must-work-on-2024-4onl).
7. PyInstaller for Creating Standalone Executables:
- Denoscription: Use PyInstaller to package Python applications into standalone executables, making distribution simpler and more user-friendly.
- Skills: Software packaging, application distribution.
- Example: Packaging a Python noscript into an executable for Windows, Mac, or Linux systems [[❞]](https://engineersplanet.com/exploring-the-top-10-python-projects-2024/).
ENJOY LEARNING 👍👍
👍19
Forwarded from Android App Development
Share this channel for more premium content: https://news.1rj.ru/str/appsuser
👍3
Any person learning deep learning or artificial intelligence in particular, know that there are ultimately two paths that they can go:
1. Computer vision
2. Natural language processing.
I outlined a roadmap for computer vision I believe many beginners will find helpful.
Artificial Intelligence
1. Computer vision
2. Natural language processing.
I outlined a roadmap for computer vision I believe many beginners will find helpful.
Artificial Intelligence
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