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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 40 875 subscribers, ranking 3 289 in the Technologies & Applications category and 9 124 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 875 subscribers.

According to the latest data from 30 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 330 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.55%. Within the first 24 hours after publication, content typically collects 1.63% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 270 views. Within the first day, a publication typically gains 665 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 31 October, 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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40 875
Subscribers
+124 hours
-317 days
+33030 days
Posts Archive
✨ 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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