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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
Mostrar más📈 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 39 123 suscriptores, ocupando la posición 3 502 en la categoría Tecnologías y Aplicaciones y el puesto 10 597 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 39 123 suscriptores.
Según los últimos datos del 05 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 458, y en las últimas 24 horas de 21, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.68%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.04% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 048 visualizaciones. En el primer día suele acumular 405 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 07 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.
39 123
Suscriptores
+2124 horas
+1207 días
+45830 días
Archivo de publicaciones
39 123
Python Cheat Sheet: Beginner to Expert Guide
This #Python cheat sheet covers basics to advanced concepts, regex, list slicing, loops and more. Perfect for quick reference and enhancing your coding skills.
Read: https://www.almabetter.com/bytes/cheat-sheet/python
39 123
✨ Quiz: Build Your Weekly Python Study Schedule: 7 Days to Consistent Progress ✨
📖 Build a consistent Python study habit with a repeatable 7-day plan. Learn to set specific goals, schedule your week, and make practice stick.
🏷️ #basics #career
39 123
✨ Quiz: Spyder: Your IDE for Data Science Development in Python ✨
📖 Test your knowledge of the Spyder IDE for Python data science, including its Variable Explorer, Plots pane, and Profiler.
🏷️ #basics #data-science #tools
39 123
✨ Quiz: Python Stacks, Queues, and Priority Queues in Practice ✨
📖 Test your knowledge of stacks, queues, deques, and priority queues with practical questions and Python coding exercises.
🏷️ #intermediate #algorithms #data-structures
39 123
✨ MLflow | AI Coding Tools ✨
📖 An open-source platform for managing the machine learning lifecycle, including experiment tracking, model packaging, registry management, and GenAI observability.
🏷️ #Python
39 123
✨ Python Gains frozendict and Other Python News for March 2026 ✨
📖 Catch up on the latest Python news: frozendict joins the built-ins, Django patches SQL injections, and AI SDKs race to add WebSocket transport.
🏷️ #community #news
39 123
✨ Quiz: How to Use Git: A Beginner's Guide ✨
📖 Test your knowledge of Git basics: initializing repos, staging files, committing snapshots, and managing your project history.
🏷️ #basics #devops
39 123
🚀 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!
🔰 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
🔖 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.
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🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ
💾 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
🧑🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
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😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
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💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9
🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
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🎧 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
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Admin: @HusseinSheikho
39 123
✨ Quiz: How to Use the OpenRouter API to Access Multiple AI Models via Python ✨
📖 Test your Python skills with OpenRouter: learn unified API access, model switching, provider routing, and fallback strategies.
🏷️ #intermediate #ai #api
39 123
✨ bdb | Python Standard Library ✨
📖 A Python standard library module that provides a generic debugger framework for setting breakpoints, stepping through code, and managing trace events.
🏷️ #Python
39 123
Repost from Machine Learning with Python
Over 20 free courses are now available on our channel for a very limited time.
https://t.me/DataScienceC
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✨ Quiz: Automate Python Data Analysis With YData Profiling ✨
📖 Test your knowledge of YData Profiling, including report creation, customization, performance optimization, time series analysis, and comparisons.
🏷️ #intermediate #data-science #data-viz
39 123
✨ Quiz: Duck Typing in Python: Writing Flexible and Decoupled Code ✨
📖 Check your grasp of Python's duck typing. Recognize behavior-based interfaces, use protocols and special methods, and know alternatives. Try the quiz.
🏷️ #intermediate #python
39 123
✨ base64 | Python Standard Library ✨
📖 A Python standard library module for encoding binary data as ASCII text using Base16, Base32, Base64, and Base85 schemes.
🏷️ #Python
39 123
✨ How to Use Git: A Beginner's Guide ✨
📖 Learn how to track your code with Git using clear, step-by-step instructions. Use this guide as a reference for managing projects with version control.
🏷️ #basics #devops
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Absolute value (module) of a number
Let's say you have a negative number and you want to get its absolute value. For this, you can use the
abs() function. The abs() function returns the absolute value of any number (positive, negative, and complex). Below is shown how to get a list of absolute values from a list that contains both negative and positive numbers. We use list comprehension.
list1 = [-12, -45, -67, -89, 34, 67, -13]
print([abs(num) for num in list1])[12, 45, 67, 89, 34, 67, 13]
Also, abs() can be applied to a floating-point number, and it will return the absolute value. See below:
num = -23.12
print(abs(num))23.12
➡️ Using the math module
If you need more advanced mathematical functions, you can use fabs() from the math module. This function always returns a float.
import math
num = -23.12
absolute_value = math.fabs(num)
absolute_value23.12
➡️ Using a lambda function
You can also use lambda to turn a negative number into its absolute value. The code below checks if x is less than zero (that is, if it's a negative value). If so, it returns -x, essentially removing the minus and making the number positive. If x is not negative (greater than or equal to 0), it returns x as it is.
num = -23.12
absolute_value = (lambda x: -x if x < 0 else x)(num)
absolute_value23.12