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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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📈 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 39 139 subscribers, ranking 3 511 in the Technologies & Applications category and 10 584 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 39 139 subscribers.

According to the latest data from 06 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 433 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.57%. Within the first 24 hours after publication, content typically collects 1.00% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 004 views. Within the first day, a publication typically gains 393 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
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

Thanks to the high frequency of updates (latest data received on 08 June, 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.

39 139
Subscribers
+1024 hours
+887 days
+43330 days
Posts Archive
ast | Python Standard Library ✨ 📖 Provides functionality to work with Abstract Syntax Trees (ASTs). 🏷️ #Python

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Build and Automate Django CRM #Django #CRM #PYTHON

thread | Python Glossary ✨ 📖 A separate flow of execution within a program. 🏷️ #Python

Creating Barcodes in Python! Barcode generation can be easily automated using the python-barcode library. First, install the library itself and the dependency for image generation:
pip install python-barcode pillow
The Pillow library is used to save in PNG format via ImageWriter. Import the main module and writer for working with images:
import barcode
from barcode.writer import ImageWriter
Let's create an EAN-13 barcode. Important: exactly 12 digits are passed, and the check digit is automatically calculated and added.
ean = barcode.get(
    "ean13",
    "590123412345",
    writer=ImageWriter()
)
Save it to disk:
filename = ean.save("product_barcode")
print(filename)
As a result, the product_barcode.png file will be created in the current directory. Generating several barcodes: a common scenario is generating a series of barcodes, for example for a list of products or database records:
codes = [
    "123456789012",
    "987654321098",
    "111222333444"
]

for value in codes:
    code_obj = barcode.get(
        "ean13",
        value,
        writer=ImageWriter()
    )
    code_obj.save(f"barcode_{value}")
Here, it's also important to comply with the format requirement: 12 digits for EAN-13, otherwise the library will throw an exception. If you need to encode arbitrary strings (order numbers, documents), it's more convenient to use Code128:
code128 = barcode.get(
    "code128",
    "ORDER-2025-001",
    writer=ImageWriter()
)

code128.save("order_barcode")
This format is not limited to numbers and is widely used in logistics and document management. In practice, generation is often outsourced to a function - for reuse in services or APIs:
def generate_barcode(value, filename):
    code = barcode.get(
        "code128",
        value,
        writer=ImageWriter()
    )
    return code.save(filename)

generate_barcode("INVOICE-4587", "invoice_4587")
🔥 This approach is convenient to scale and supplement with logic (validation, writer settings, saving paths in the database, etc.). 👉 @DataScience4

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✨ Quiz: GeoPandas Basics: Maps, Projections, and Spatial Joins ✨ 📖 Test GeoPandas basics for reading, mapping, projecting, a
Quiz: GeoPandas Basics: Maps, Projections, and Spatial Joins ✨ 📖 Test GeoPandas basics for reading, mapping, projecting, and spatial joins to handle geospatial data confidently. 🏷️ #intermediate #data-science

cProfile | Python Standard Library ✨ 📖 Provides a way to measure where time is being spent in your application. 🏷️ #Python

Ant AI Automated Sales Robot is an intelligent robot focused on automating lead generation and sales conversion. Its core function simulates human conversation, achieving end-to-end business conversion and easily generating revenue without requiring significant time investment. I. Core Functions: Fully Automated "Lead Generation - Interaction - Conversion" Precise Lead Generation and Human-like Communication: Ant AI is trained on over 20 million real social chat records, enabling it to autonomously identify target customers and build trust through natural conversation, requiring no human intervention. High Conversion Rate Across Multiple Scenarios: Ant AI intelligently recommends high-conversion-rate products based on chat content, guiding customers to complete purchases through platforms such as iFood, Shopee, and Amazon. It also supports other transaction scenarios such as movie ticket purchases and utility bill payments. 24/7 Operation: Ant AI continuously searches for customers and recommends products. You only need to monitor progress via your mobile phone, requiring no additional management time. II. Your Profit Guarantee: Low Risk, High Transparency, Zero Inventory Pressure, Stable Commission Sharing We have established partnerships with platforms such as Shopee and Amazon, which directly provide abundant product sourcing. You don't need to worry about inventory or logistics. After each successful order, the company will charge the merchant a commission and share all profits with you. Earnings are predictable and withdrawals are convenient. Member data shows that each bot can generate $30 to $100 in profit per day. Commission income can be withdrawn to your account at any time, and the settlement process is transparent and open. Low Initial Investment Risk. Bot development and testing incur significant costs. While rental fees are required, in the early stages of the project, the company prioritizes market expansion and brand awareness over short-term profits. If you are interested, please join my Telegram group for more information and leave a message: https://t.me/+lVKtdaI5vcQ1ZDA1

wildcard import | Python Glossary ✨ 📖 An import uses the star syntax to pull many names into your current namespace at once. 🏷️ #Python

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transitive dependency | Python Glossary ✨ 📖 An indirect requirement of your project. 🏷️ #Python

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This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0https://t.me/Codeprogrammer

✨ GeoPandas Basics: Maps, Projections, and Spatial Joins ✨ 📖 Dive into GeoPandas with this tutorial covering data loading, m
GeoPandas Basics: Maps, Projections, and Spatial Joins ✨ 📖 Dive into GeoPandas with this tutorial covering data loading, mapping, CRS concepts, projections, and spatial joins for intuitive analysis. 🏷️ #intermediate #data-science

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