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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 40 875 suscriptores, ocupando la posición 3 289 en la categoría Tecnologías y Aplicaciones y el puesto 9 124 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 875 suscriptores.

Según los últimos datos del 30 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 330, y en las últimas 24 horas de 1, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.55%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.63% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 270 visualizaciones. En el primer día suele acumular 665 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 31 octubre, 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.

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40 875
Suscriptores
+124 horas
-317 días
+33030 días
Archivo de publicaciones
✨ autoregressive generation | AI Coding Glossary ✨ 📖 A method in which a model produces a sequence one token at a time, with each token conditioned on all previously generated tokens. 🏷️ #Python

✨ nearest neighbor | AI Coding Glossary ✨ 📖 The data point in a reference set that has the smallest distance to a query point. 🏷️ #Python

✨ Google Antigravity | AI Coding Tools ✨ 📖 An agent-first IDE where AI agents operate the editor, terminal, and browser and produce verifiable Artifacts of their work. 🏷️ #Python

✨ bias | AI Coding Glossary ✨ 📖 A systematic deviation from truth or fairness. 🏷️ #Python

✨ Pydantic AI | AI Coding Tools ✨ 📖 A Python framework for building typed LLM agents leveraging Pydantic. 🏷️ #Python

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✨ Meet Our Team ✨ 📖 Meet Real Python's team of expert Python developers, educators, and 190+ contributors bringing real-worl
✨ Meet Our Team ✨ 📖 Meet Real Python's team of expert Python developers, educators, and 190+ contributors bringing real-world experience to create practical Python education. 🏷️ #Python

✨ Topic: Algorithms Tutorials ✨ 📖 Learn Python algorithms: sorting, searching, graphs, DP, Big O. Use heapq, bisect, deque,
✨ Topic: Algorithms Tutorials ✨ 📖 Learn Python algorithms: sorting, searching, graphs, DP, Big O. Use heapq, bisect, deque, lru_cache, timeit. Study practical tips and FAQs for interviews. 🏷️ #22_resources

✨ Topic: Python Standard Library ✨ 📖 Practical Python standard library tutorials to master datetime, pathlib, argparse, subp
✨ Topic: Python Standard Library ✨ 📖 Practical Python standard library tutorials to master datetime, pathlib, argparse, subprocess, logging, and more. Write faster, cleaner, dependency-free code. 🏷️ #86_resources

✨ vector | AI Coding Glossary ✨ 📖 An ordered array of numbers that represents a point, magnitude, and direction. 🏷️ #Python

✨ evaluation | AI Coding Glossary ✨ 📖 The process of measuring how well an AI system or model meets its objectives. 🏷️ #Python

✨ How to Use Google's Gemini CLI for AI Code Assistance ✨ 📖 Learn how to use Gemini CLI to bring Google's AI-powered coding
✨ How to Use Google's Gemini CLI for AI Code Assistance ✨ 📖 Learn how to use Gemini CLI to bring Google's AI-powered coding assistance directly into your terminal to help you analyze and fix code. 🏷️ #intermediate #ai #tools

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✨ Quiz: How to Serve a Website With FastAPI Using HTML and Jinja2 ✨ 📖 Review how to build dynamic websites with FastAPI and
✨ Quiz: How to Serve a Website With FastAPI Using HTML and Jinja2 ✨ 📖 Review how to build dynamic websites with FastAPI and Jinja2, and serve HTML, CSS, and JS with HTMLResponse and StaticFiles. 🏷️ #intermediate #api #front-end #web-dev

Tip for clean tests in Python: In most cases, your tests should cover: - all happy path scenarios - edge/corner/boundary cases - negative tests - security checks and invalid inputs
import uuid
from dataclasses import dataclass
from typing import Optional


@dataclass
class User:
    username: str


class InMemoryUserRepository:
    def __init__(self):
        self._users = []

    def add(self, user: User) -> None:
        self._users.append(user)

    def search(self, query: Optional[str] = None) -> list[User]:
        if query is None:
            return self._users
        else:
            return [
                user
                for user in self._users
                if query in user.username
            ]


# happy path
def test_search_users_without_query_lists_all_users():
    user1 = User(username="john@doe.com")
    user2 = User(username="marry@doe.com")
    repository = InMemoryUserRepository()
    repository.add(user1)
    repository.add(user2)

    assert repository.search() == [user1, user2]


# happy path
def test_search_users_with_email_part_lists_all_matching_users():
    user1 = User(username="john@doe.com")
    user2 = User(username="bob@example.com")
    user3 = User(username="marry@doe.com")
    repository = InMemoryUserRepository()
    repository.add(user1)
    repository.add(user2)
    repository.add(user3)

    assert repository.search("doe") == [user1, user3]


# edge test case
def test_search_users_with_empty_query_lists_all_users():
    user1 = User(username="john@doe.com")
    user2 = User(username="marry@doe.com")
    repository = InMemoryUserRepository()
    repository.add(user1)
    repository.add(user2)

    assert repository.search("") == [user1, user2]


# negative test case
def test_search_users_with_random_query_lists_zero_users():
    user1 = User(username="john@doe.com")
    repository = InMemoryUserRepository()
    repository.add(user1)

    assert repository.search(str(uuid.uuid4())) == []


# security test
def test_search_users_with_sql_injection_has_no_effect():
    user1 = User(username="john@doe.com")
    repository = InMemoryUserRepository()
    repository.add(user1)

    repository.search("DELETE FROM USERS;")
    assert repository.search() == [user1]
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