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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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📈 Análisis del canal de Telegram Learn Python Coding

El canal Learn Python Coding (@pythonre) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 39 139 suscriptores, ocupando la posición 3 511 en la categoría Tecnologías y Aplicaciones y el puesto 10 584 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 39 139 suscriptores.

Según los últimos datos del 06 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 433, y en las últimas 24 horas de 10, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.57%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.00% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 004 visualizaciones. En el primer día suele acumular 393 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
  • Intereses temáticos: El contenido se centra en temas clave como math, harvard, oxford, supervision, waybienad.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
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

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 08 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

39 139
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Archivo de publicaciones
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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