Python Interviews
Ir al canal en Telegram
Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun
Mostrar más
Red:📈 Análisis del canal de Telegram Python Interviews
El canal Python Interviews (@pythoninterviews) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 28 836 suscriptores, ocupando la posición 4 615 en la categoría Tecnologías y Aplicaciones y el puesto 14 432 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 28 836 suscriptores.
Según los últimos datos del 26 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 78, 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 2.43%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.57% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 701 visualizaciones. En el primer día suele acumular 163 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
- Intereses temáticos: El contenido se centra en temas clave como |--, link:-, learning, sql, analytic.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free
For collaborations: @coderfun”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 27 julio, 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.
28 836
Suscriptores
-124 horas
+417 días
+7830 días
Archivo de publicaciones
28 837
“I was skeptical at first—just $300 a week invested, and in a few weeks, I made over $800.” This young trader’s secret? The method taught at Crypto Channel №1. No complicated trades, no guesswork—just steady crypto profits starting immediately.
👉 Discover how before everyone else does.
✈️ Ready to start?
#ad InsideAds
28 837
Tired of AI that refuses to help?
@UnboundGPT_bot doesn't lecture. It just works.
✓ Multiple models (GPT-4o, Gemini, DeepSeek)
✓ Image generation & editing
✓ Video creation
✓ Persistent memory
✓ Actually uncensored
Free to try → @UnboundGPT_bot or https://ko2bot.com
28 837
Want to boost your crypto earnings without extra spending?
Discover daily free USDT drops, instant red packet alerts, and exclusive airdrops at Binance_Red_Packet.
Claim your share effortlessly and watch your crypto wallet grow every day! Don’t miss out on these limited rewards — join now and start winning! 🚀
Your next 3 USDT could be just a click away: Click here
#ad InsideAds
28 837
28 837
Love our channel? Advertise here — and across 6 000+ Telegram channels ✈️
⚡️ Launch your Telegram ads in minutes with access to verified channels, groups, mini apps, and bots.
Reach real, bot-free audiences — from crypto to lifestyle — with automated placements, live analytics, and measurable results.
How it works:
1️⃣ Sign up via this link: Telega.io
2️⃣ Add funds
3️⃣ Choose channels and add your ad post
➡️ We’ll take care of the rest
Stay ahead — 6 000+ channels to test, track, and scale!
28 837
💼 Role: Executive Assistant (Remote, India-only)
💰 Pay: $800–$2,000/month, bi-weekly to bank or crypto
🕒 Schedule: Flexible, 3–4 h/day
🎓 Training: 3-day online onboarding
🤝 You’ll do: Planning, coordination, partner comms with a senior manager
✅ Requirements: 25+, English B1+, strong org & comms, attention to detail
📬 Apply: Send your form to HR
#ad InsideAds
28 837
Are you tired of missing out on big profits? Unlock exclusive trading insights and watch live as targets get smashed—over 150+ pips on recent trades! Ready for your own success story? Don’t let another win pass you by. Join now for real-time signals and account recovery support from the team trusted by thousands. Your next profit starts here!
#ad InsideAds
28 837
Feature Engineering: The Hidden Skill That Makes or Breaks ML Models
Most people chase better algorithms. Professionals chase better features.
Because no matter how fancy your model is, if the data doesn’t speak the right language. it won’t learn anything meaningful.
🔍 So What Exactly Is Feature Engineering?
It’s not just cleaning data. It’s translating raw, messy reality into something your model can understand.
You’re basically asking:
“How can I represent the real world in numbers, without losing its meaning?”Example: ➖ “Date of birth” → Age (time-based insight) ➖ “Text review” → Sentiment score (emotional signal) ➖ “Price” → log(price) (stabilized distribution) Every transformation teaches your model how to see the world more clearly. ⚙️ Why It Matters More Than the Model You can’t outsmart bad features. A simple linear model trained on smartly engineered data will outperform a deep neural net trained on noise. Kaggle winners know this. They spend 80% of their time creating and refining features not tuning hyperparameters. Why? Because models don’t create intelligence, They extract it from what you feed them. 🧩 The Core Idea: Add Signal, Remove Noise Feature engineering is about sculpting your data so patterns stand out. You do that by: ✔️ Transforming data (scale, encode, log). ✔️ Creating new signals (ratios, lags, interactions). ✔️ Reducing redundancy (drop correlated or useless columns). Every step should make learning easier not prettier. ⚠️ Beware of Data Leakage Here’s the silent trap: using future information when building features. For example, when predicting loan default, if you include “payment status after 90 days,” your model will look brilliant in training and fail in production. Golden rule: 👉 A feature is valid only if it’s available at prediction time. 🧠 Think Like a Domain Expert Anyone can code transformations. But great data scientists understand context. They ask: ❔What actually influences this outcome in real life? ❔How can I capture that influence as a feature? When you merge domain intuition with technical precision, feature engineering becomes your superpower. ⚡️ Final Takeaway The model is the student. The features are the teacher. And no matter how capable the student if the teacher explains things poorly, learning fails.
Feature engineering isn’t preprocessing. It’s the art of teaching your model how to understand the world.
28 837
I never thought I’d see offers like this. People are moving to Europe for construction jobs and getting free housing & meals. Want to know which vacancies open TOMORROW — and who’s already getting paid more? The answer is hidden right here.
#ad InsideAds
28 837
✅8-Week Beginner Roadmap to Learn Data Analysis 📊
🗓️ Week 1: Excel & Data Basics
Goal: Master data organization and analysis basics
Topics: Excel formulas, functions, PivotTables, data cleaning
Tools: Microsoft Excel, Google Sheets
Mini Project: Analyze sales or survey data with PivotTables
🗓️ Week 2: SQL Fundamentals
Goal: Learn to query databases efficiently
Topics: SELECT, WHERE, JOIN, GROUP BY, subqueries
Tools: MySQL, PostgreSQL, SQLite
Mini Project: Query sample customer or sales database
🗓️ Week 3: Data Visualization Basics
Goal: Create meaningful charts and graphs
Topics: Bar charts, line charts, scatter plots, dashboards
Tools: Tableau, Power BI, Excel charts
Mini Project: Build dashboard to analyze sales trends
🗓️ Week 4: Data Cleaning & Preparation
Goal: Handle messy data for analysis
Topics: Handling missing values, duplicates, data types
Tools: Excel, Python (Pandas) basics
Mini Project: Clean and prepare real-world dataset for analysis
🗓️ Week 5: Statistics for Data Analysis
Goal: Understand key statistical concepts
Topics: Descriptive stats, distributions, correlation, hypothesis testing
Tools: Excel, Python (SciPy, NumPy)
Mini Project: Analyze survey data & draw insights
🗓️ Week 6: Advanced SQL & Database Concepts
Goal: Optimize queries & explore database design basics
Topics: Window functions, indexes, normalization
Tools: SQL Server, MySQL
Mini Project: Complex query for sales and customer analysis
🗓️ Week 7: Automating Analysis with Python
Goal: Use Python for repetitive data tasks
Topics: Pandas automation, data aggregation, visualization scripting
Tools: Jupyter Notebook, Pandas, Matplotlib
Mini Project: Automate monthly sales report generation
🗓️ Week 8: Capstone Project + Reporting
Goal: End-to-end analysis and presentation
Project Ideas: Customer segmentation, sales forecasting, churn analysis
Tools: Tableau/Power BI for visualization + Python/SQL for backend
Bonus: Present findings in a polished report or dashboard
💡 Tips:
⦁ Practice querying and analysis on public datasets (Kaggle, data.gov)
⦁ Join data challenges and community projects
💬 Tap ❤️ for the detailed explanation of each topic!
28 837
After the $19B market crash, most people ran away from crypto🏃♂️➡️
But this team stayed, analyzed everything, and caught the rebound first.
Now they’re sharing where smart money is moving next.
👉 If you want to make profits while others are still scared — follow https://t.me/+Z1-jo-k9QvM2YzU6
28 837
The construction company GlobalBUD Ukraine is hiring skilled workers for ongoing projects.
We are looking for experienced specialists for the following positions:
• Foremen with their own teams
• Tilers
• Painters / Plasterers
• Bricklayers
• Facade Workers
• Plumbers
• Electricians
✅ Salary: $450–700 per month for worker and 800-900$ for foremen with their own teams
✅ Free accommodation
✅ Free meals
✅ Official 1-year work visa
✅ Free airport transfer
❗️Please note: The company does not cover visa or flight expenses.
However, a free transfer from the airport to your accommodation is provided, and you will receive an advance payment upon arrival in Ukraine.
#ad InsideAds
28 837
Think mining crypto is complicated? With Padma, you can effortlessly mine NFTs, boost your mana, and earn real PAD tokens—all in one Web3 game. Want in on the next big play-to-earn ecosystem? See how easy it is to start collecting rewards today. Join now and unlock your earning power!
#ad InsideAds
28 837
28 837
Where do movie lovers get their daily fix of the latest blockbuster hits—without the wait? Discover it here and dive into a world of fresh releases, exclusive picks, and hidden gems—straight to your Telegram! Don’t miss out, join Moviephobia today for your all-access pass to cinema’s hottest news and drops. Catch the excitement now!
#ad InsideAds
28 837
Your ROI shouldn’t depend on kilowatts. Padma replaces hashrate with activity-based yield: complete tasks, mint NFTs, and convert progress into PAD. It’s a mining mindset with modern tools and transparent economics.
Start today!
#ad InsideAds
28 837
Think crypto mining is just for whales? Discover how anyone can earn tokens and unlock upgrades and artifacts with Padma Web3’s play-to-earn ecosystem. Boost your mana, invite friends, and turn your time into real rewards — no special equipment needed. Curious about the next big thing? See what everyone is mining right now.
Start now!
#ad InsideAds
