Learn Python Coding

Ir al canal en Telegram

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

Red:Machine Learning with Python India9 434 Tecnologías y Aplicaciones3 227...

📈 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 40 348 suscriptores, ocupando la posición 3 227 en la categoría Tecnologías y Aplicaciones y el puesto 9 434 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 348 suscriptores.

Según los últimos datos del 14 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 244, y en las últimas 24 horas de 19, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.04%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.21% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 1 226 visualizaciones. En el primer día suele acumular 488 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 15 septiembre, 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.

Buy Ad

40 348

Suscriptores

+1924 horas

+1427 días

+24430 días

1 226

Visitas de la publicación

~ 48824 horas

~ 74048 horas

3.04%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 355

Get Up to 500MB of Residential Proxy Traffic for Your Python Projects 🐍 Building a web scraper with Python? ThorData helps developers collect public web data while handling proxy rotation, geo-targeting, and access restrictions. ✅ Residential IPs across 190+ countries ✅ Country, city, and ASN-level targeting ✅ Rotating and sticky sessions ✅ HTTP(S) and SOCKS5 support ✅ Works with Requests, Scrapy, Selenium, and Playwright 🎁 Exclusive offer for Machine Learning with Python members Eligible new users can receive up to 500MB of residential proxy traffic for testing. Use channel code: PYTHONSCRAPE 👉 Start your test: https://www.thordata.com/?ls=MQiAFqAo&lk=ps-02 Available to eligible new users. The actual trial traffic may vary, up to a maximum of 500MB.

40 355

Repost from Machine Learning with Python

📚 7 Best Websites to Learn Computer Science Subjects for Free Struggling with subjects like DSA, DBMS, OS or Computer Networks? These free resources can make learning much easier 1. GeeksforGeeks 🧑‍💻 • DSA, DBMS, OS, CN and more • Notes, articles, problems and tutorials 🔗 https://www.geeksforgeeks.org/ 2. freeCodeCamp 🎓 • Programming, web development, Python and more • Free courses with hands-on learning 🔗 https://www.freecodecamp.org/ 3. CS50 by Harvard 🧠 • Excellent introduction to computer science • Covers programming, algorithms, memory, databases and more 🔗 https://cs50.harvard.edu/ 4. Neso Academy 📖 • Detailed lectures on OS, CN, DBMS, DSA and other CSE subjects • Great for concept-based learning 🔗 https://www.youtube.com/@nesoacademy 5. W3Schools 🌐 • Learn HTML, CSS, JavaScript, SQL, Python and more • Simple explanations with interactive examples 🔗 https://www.w3schools.com/ 6. MIT OpenCourseWare 🎓 • University-level computer science courses • Lectures, assignments and study material 🔗 https://ocw.mit.edu/ 7. roadmap.sh 🗺 • Structured roadmaps for different tech careers • Useful for planning what to learn next 🔗 https://roadmap.sh/ 💾 Save this list for your next semester

40 355

🚀Round 2 – 14-Day CCNA & CCNP Study Sprint! Our first 21-Day Sprint was a huge success — we saw amazing check-ins, great discussions, and a community that truly learned together. 🙌 Now we're back with a faster, tighter 14-Day Sprint — same energy, same prizes, easier to finish! 💪 📅 Sprint Period: Sep 14 – Sep 27 (UTC+8) 📝 How It Works: ① DM admin: "I'M IN + cert name" (e.g., I'M IN CCNA 200-301) ② Check in 12 out of 14 days → win prizes 🎁 🏆 Prizes (First come, first served!): 1️⃣ $10 SPOTO Universal Coupon ×2 2️⃣ Cisco SD-Access Training ($150 value) ×1 3️⃣ Cisco SD-WAN Training ($150 value) ×1 4️⃣ CCNA Training Pro Package ($59.99 value) ×10 5️⃣ Free Cisco Learning Pack – unlimited for all finishers 🎁 ✅ Referral Bonus: Invite a friend → Get FREE EXAM DEMO 💻 DM admin to register: https://wa.me/8619559123054 JOIN 14 Days Study Sprint: https://chat.whatsapp.com/KZrAj2HZ3Y5K9UhhNhrApf

40 355

🧲 Your agent writes the tool. You keep the terminal closed. You know the shape of the script before you open the editor. The hour goes to argparse, a retry wrapper, a rate limiter you have written eleven times already. Create your own AI agent inside Telegram in about a minute, and create small tools with it right in the chat. ▫️ describe a tool in a sentence and it writes, runs and returns the working script ▫️ ships a mini-app inside Telegram — a form, a converter, a dashboard, no deploy and no hosting ▫️ drop in a traceback or a repo link and get the fix, not a lecture ▫️ swap the model per task with one command, so cheap work runs cheap ▫️ remembers your stack, your conventions and your project for months ▫️ voice in, answer back — describe the task on the way home, read the result when you are back Setup takes a minute: open the link, start the free trial, name your agent. 30 days free, no card needed. 🧲 Create your agent

40 355

🌈 2026 Job-Seeker Toolkit – Free Interview & IT Cert Resources 🔥The 2026 hiring market is shifting fast. We've put together a 100% free resource bundle covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity — including: ✅Q&A banks & mock exams ✅Behavioral interview guides ✅Technical deep-dives for coding & infrastructure roles ✅Real-world project scenarios Perfect for Software Developer Jobs, IT Internships, and Python Projects practice. 🎯 Interview Question Bank → https://bit.ly/4A6m0hM 🪜 Online Free Course For Python & Excel→https://bit.ly/46bUzWm 📘 Free Cert E‑Book → https://bit.ly/4xXkAVx ☁️ Free AI Materials → https://bit.ly/4xMBLJd 📊 Cloud Study Guide → https://bit.ly/4cAQ8rN 🧠 Free Mock Exam → https://bit.ly/4xcp3Cx Tag a friend who's job-hunting or grinding Python projects — let's ace it together! 💪 🧠 Join Study Community: https://chat.whatsapp.com/DcpVeYSV6xNJzdBQU9eRyU ❄️ 1-on-1 support: https://wa.link/gyvbek

40 355

Creating Nested Dictionary Values using `setdefault()` 🔥 When grouping data, it's often necessary to check if a key exists, create a container for it, and then add a value. For example, distributing users by role. Without special methods, this usually involves a separate key check.

users = [
    ("admin", "alex"),
    ("user", "max"),
    ("admin", "kate"),
]

groups = {}

for role, name in users:
    if role not in groups:
        groups[role] = []

    groups[role].append(name)

The setdefault() method allows you to perform this operation directly when accessing the dictionary. If the key exists, it returns its current value. If the key is missing, the provided value is written to the dictionary and then returned:

groups = {}

for role, name in users:
    groups.setdefault(
        role,
        [],
    ).append(name)

The result is the same structure without a separate key existence check:

print(groups)

# {
#     'admin': ['alex', 'kate'],
#     'user': ['max']
# }

It's important to note that the expression of the second argument is evaluated every time setdefault() is called, even if the key already exists. Therefore, you should avoid creating expensive objects or performing functions with side effects there:

value = cache.setdefault(
    key,
    build_value(),
)

In this code, build_value() will be called before the method itself is executed. If the value creation should only happen when the key is missing, it's better to use an explicit check or a suitable data structure, such as defaultdict. 🔥 setdefault() is well-suited for compactly initializing simple mutable containers when grouping and aggregating data. However, it's important to remember that the provided value is evaluated regardless of whether the key exists. #Python #Coding #Dicts #Programming #CodeTips #DevLife ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

40 355

Repost from Udemy Free