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Learn Python Coding

Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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πŸ“ˆ Analytical overview of Telegram channel Learn Python Coding

Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 40 101 subscribers, ranking 3 241 in the Technologies & Applications category and 9 590 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 40 101 subscribers.

According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 114 over the last 30 days and by -8 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.75%. Within the first 24 hours after publication, content typically collects 1.09% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 103 views. Within the first day, a publication typically gains 438 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 30 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

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40 101
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Posts Archive
How to Generate QR Codes in Python πŸ—‚ Category: PROGRAMMING πŸ•’ Date: 2025-12-02 | ⏱️ Read time: 7 min read --- QR (Quick Response) codes are two-dimensional barcodes that have become ubiquitous for sharing information quickly, from website URLs to Wi-Fi credentials. With Python, generating your own QR codes is a straightforward process, thanks to powerful and easy-to-use libraries. This tutorial will guide you through using the qrcode package to create both simple and customized QR codes. By the end, you'll be able to integrate QR code generation into any of your Python projects. #### What You'll Learn: β€’ How to install the necessary Python package. β€’ How to create a basic QR code with a single line of code. β€’ How to use the QRCode class for advanced customization, including size, border, error correction, and color. --- Step 1: Installation To get started, you need to install the qrcode library. This package also requires an image processing library to create and save the QR code as an image file. We'll use Pillow, which can be installed along with the main package. Open your terminal or command prompt and run the following command:
pip install "qrcode[pil]"
This command installs both the qrcode library and the Pillow dependency, ensuring you have everything you need to generate and save image files. --- Step 2: Creating a Simple QR Code The quickest way to generate a QR code is by using the make() function. This is perfect for when you need a standard QR code without any special configurations. Let's create a QR code that encodes the URL to the official Python website. β€’ Create a new Python file (e.g., create_qr.py). β€’ Add the following code:
import qrcode

# The data you want to encode in the QR code
data = "https://www.python.org"

# Generate the QR code image
# The make() function handles the entire process
img = qrcode.make(data)

# Save the generated image to a file
img.save("basic_python_qr.png")

print("QR code generated successfully and saved as 'basic_python_qr.png'")
When you run this script, it will create a file named basic_python_qr.png in the same directory. If you scan this QR code with your phone, it will take you to the Python website. --- Step 3: Advanced Customization For more control over the appearance and functionality of your QR code, you can use the QRCode class. This allows you to configure several parameters: β€’ version: An integer from 1 to 40 that controls the size of the QR Code. A larger version number means the code can hold more data. β€’ error_correction: Controls how much of the QR code can be damaged or obscured while still being readable. There are four levels: ERROR_CORRECT_L: About 7% or less errors can be corrected. ERROR_CORRECT_M (default): About 15% or less. ERROR_CORRECT_Q: About 25% or less. ERROR_CORRECT_H: About 30% or less. β€’ box_size: Controls how many pixels each "box" of the QR code is. β€’ border: Controls the thickness of the white border around the code. Let's create a customized QR code with a blue color, a thicker border, and high error correction.

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✨ Ruff | Python Tools ✨ πŸ“– A fast linter and code formatter for Python. 🏷️ #Python

πŸš€ Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need boo
πŸš€ Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today! πŸ”° Machine Learning with Python Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. https://t.me/CodeProgrammer πŸ”– Machine Learning Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications. https://t.me/DataScienceM 🧠 Code With Python This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills. https://t.me/DataScience4 🎯 PyData Careers | Quiz Python Data Science jobs, interview tips, and career insights for aspiring professionals. https://t.me/DataScienceQ πŸ’Ύ Kaggle Data Hub Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects. https://t.me/datasets1 πŸ§‘β€πŸŽ“ Udemy Coupons | Courses The first channel in Telegram that offers free Udemy coupons https://t.me/DataScienceC πŸ˜€ ML Research Hub Advancing research in Machine Learning – practical insights, tools, and techniques for researchers. https://t.me/DataScienceT πŸ’¬ Data Science Chat An active community group for discussing data challenges and networking with peers. https://t.me/DataScience9 🐍 Python Arab| Ψ¨Ψ§ΩŠΨ«ΩˆΩ† عربي The largest Arabic-speaking group for Python developers to share knowledge and help. https://t.me/PythonArab πŸ–Š Data Science Jupyter Notebooks Explore the world of Data Science through Jupyter Notebooksβ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN πŸ“Ί Free Online Courses | Videos Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners. https://t.me/DataScienceV πŸ“ˆ Data Analytics Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. https://t.me/DataAnalyticsX 🎧 Learn Python Hub Master Python with step-by-step courses – from basics to advanced projects and practical applications. https://t.me/Python53 ⭐️ Research Papers Professional Academic Writing & Simulation Services https://t.me/DataScienceY ━━━━━━━━━━━━━━━━━━ Admin: @HusseinSheikho

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πŸ† Build Rock Paper Scissors: Python Project! πŸ“’ Master Python basics! Build a Rock Paper Scissors game. Perfect for beginners to learn random choices and conditional logic. ⚑ Tap to unlock the complete answer and gain instant insight. ━━━━━━━━━━━━━━━ By: @DataScience4 ✨

Found a useful library for Python β€” Translators. This is a module that allows you to translate text for free and massively through a bunch of external engines: Google, Yandex, Bing, Baidu, Tencent, DeepL, Reverso, Papago, and a bunch of other services, including even Argos and Iflytek. 😨 It works with dozens of languages (Russian, English, Spanish, Chinese, German, and others). Usage is simple and does not require complex setup. Installation:
git clone https://github.com/UlionTse/translators.git
cd translators
python setup.py install
or simpler:
pip install --upgrade translators
GitHub: github.com/UlionTse/translators πŸ‘‰  @DataScience4

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✨ Topic: Python Data Science ✨ πŸ“– Explore all Python data science tutorials. Learn how to analyze and visualize data using Py
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✨ Writing DataFrame-Agnostic Python Code With Narwhals ✨ πŸ“– If you're a Python library developer looking to write DataFrame-a
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