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 28 950 suscriptores, ocupando la posición 4 529 en la categoría Tecnologías y Aplicaciones y el puesto 14 248 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 28 950 suscriptores.
Según los últimos datos del 25 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 122, y en las últimas 24 horas de 4, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.84%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.63% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 534 visualizaciones. En el primer día suele acumular 182 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 |--, 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 26 agosto, 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.
28 950
Suscriptores
+424 horas
+77 días
+12230 días
Carga de datos en curso...
Canales Similares
Nube de Etiquetas
Menciones Entrantes y Salientes
---
---
---
---
---
---
Atraer Suscriptores
agosto '26
agosto '26
+172
en 0 canales
julio '26
+216
en 1 canales
Get PRO
junio '26
+158
en 1 canales
Get PRO
mayo '26
+229
en 0 canales
Get PRO
abril '26
+106
en 0 canales
Get PRO
marzo '26
+192
en 0 canales
Get PRO
febrero '26
+412
en 0 canales
Get PRO
enero '26
+618
en 0 canales
Get PRO
diciembre '25
+435
en 0 canales
Get PRO
noviembre '25
+523
en 0 canales
Get PRO
octubre '25
+594
en 0 canales
Get PRO
septiembre '25
+640
en 0 canales
Get PRO
agosto '25
+866
en 2 canales
Get PRO
julio '25
+960
en 3 canales
Get PRO
junio '25
+1 331
en 2 canales
Get PRO
mayo '25
+2 400
en 3 canales
Get PRO
abril '25
+3 373
en 1 canales
Get PRO
marzo '25
+909
en 2 canales
Get PRO
febrero '25
+772
en 0 canales
Get PRO
enero '25
+1 100
en 5 canales
Get PRO
diciembre '24
+1 103
en 1 canales
Get PRO
noviembre '24
+686
en 0 canales
Get PRO
octubre '24
+743
en 1 canales
Get PRO
septiembre '24
+1 282
en 1 canales
Get PRO
agosto '24
+1 145
en 1 canales
Get PRO
julio '24
+1 890
en 1 canales
Get PRO
junio '24
+2 031
en 2 canales
Get PRO
mayo '24
+1 331
en 0 canales
Get PRO
abril '24
+1 666
en 1 canales
Get PRO
marzo '24
+2 099
en 3 canales
Get PRO
febrero '24
+121
en 0 canales
Get PRO
enero '24
+251
en 0 canales
Get PRO
diciembre '23
+540
en 0 canales
| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 26 agosto | +3 | |||
| 25 agosto | +7 | |||
| 24 agosto | +3 | |||
| 23 agosto | +3 | |||
| 22 agosto | 0 | |||
| 21 agosto | +4 | |||
| 20 agosto | +6 | |||
| 19 agosto | +5 | |||
| 18 agosto | +8 | |||
| 17 agosto | +9 | |||
| 16 agosto | +13 | |||
| 15 agosto | 0 | |||
| 14 agosto | +6 | |||
| 13 agosto | +7 | |||
| 12 agosto | +7 | |||
| 11 agosto | +11 | |||
| 10 agosto | +17 | |||
| 09 agosto | +7 | |||
| 08 agosto | +2 | |||
| 07 agosto | 0 | |||
| 06 agosto | +11 | |||
| 05 agosto | +9 | |||
| 04 agosto | +8 | |||
| 03 agosto | +11 | |||
| 02 agosto | +14 | |||
| 01 agosto | +1 |
Publicaciones del Canal
✅ Data Science Interview Prep Guide 📊🧠
Whether you're a fresher or career-switcher, here’s how to prep step-by-step:
1️⃣ Understand the Role
Data scientists solve problems using data. Core responsibilities:
• Data cleaning & analysis
• Building predictive models
• Communicating insights
• Working with business/product teams
2️⃣ Core Skills Needed
✔️ Python (NumPy, Pandas, Matplotlib, Scikit-learn)
✔️ SQL
✔️ Statistics & probability
✔️ Machine Learning basics
✔️ Data storytelling & visualization (Power BI / Tableau / Seaborn)
3️⃣ Key Interview Areas
A. Python & Coding
• Write code to clean and analyze data
• Solve logic problems (e.g., reverse a list, group data by key)
• List vs Dict vs DataFrame usage
B. Statistics & Probability
• Hypothesis testing
• p-values, confidence intervals
• Normal distribution, sampling
C. Machine Learning Concepts
• Supervised vs unsupervised learning
• Overfitting, regularization, cross-validation
• Algorithms: Linear Regression, Decision Trees, KNN, SVM
D. SQL
• Joins, GROUP BY, subqueries
• Window functions
• Data aggregation and filtering
E. Business & Communication
• Explain model results to non-tech stakeholders
• What metrics would you track for [business case]?
• Tell me about a time you used data to influence a decision
4️⃣ Build Your Portfolio
✅ Do projects like:
• E-commerce sales analysis
• Customer churn prediction
• Movie recommendation system
✅ Host on GitHub or Kaggle
✅ Add visual dashboards and insights
5️⃣ Practice Platforms
• LeetCode (SQL, Python)
• HackerRank
• StrataScratch (SQL case studies)
• Kaggle (competitions & notebooks)
💬 Tap ❤️ for more!
| 2 |  🔰 Pass in Python | 1 290 |
| 3 | To be GOOD in Data Science you need to learn:
- Python
- SQL
- PowerBI
To be GREAT in Data Science you need to add:
- Business Understanding
- Knowledge of Cloud
- Many-many projects
But to LAND a job in Data Science you need to prove you can:
- Learn new things
- Communicate clearly
- Solve problems
#datascience | 1 422 |
| 4 |  If you’re a student, graduate, or someone looking for a career switch, read this.
Most people spend months watching random YouTube videos and still don’t become job-ready.
Instead, learn in a structured offline classroom.
📌 Data Analytics with GenAI
📌 Python + SQL + Power BI
📌 6-Month Program
📌 1:1 Mentorship
📌 Job Assistance
📍Now available in your city.
Seats are limited.
👉 Register Here: https://lp.pwskills.com/data-analytics-course-offline-batch0?utm_source=telegram&utm_medium=influencer&utm_campaign=daoffline | 1 209 |
| 5 | Quick Python Cheat Sheet for Beginners 🐍✍️
Python is widely used for data analysis, automation, and AI—perfect for beginners starting their coding journey.
Aggregation Functions 📊
• sum(list) → Adds all values
👉 sum([1,2,3]) = 6
• len(list) → Counts total elements
👉 len([1,2,3]) = 3
• max(list) → Highest value
👉 max([4,7,2]) = 7
• min(list) → Lowest value
👉 min([4,7,2]) = 2
• sum(list)/len(list) → Average
👉 sum([10,20])/2 = 15
Lookup / Searching 🔍
• in → Check existence
👉 5 in [1,2,5] = True
• list.index(value) → Position of value
👉 [10,20,30].index(20) = 1
• Dictionary lookup
👉 data = {"name": "John", "age": 25} data["name"] # John
Logical Operations 🧠
• if condition: → Decision making
👉 if x > 10: print("High") else: print("Low")
• and → All conditions true
• or → Any condition true
• not → Reverse condition
Text (String) Functions 🔤
• len(text) → Length
👉 len("hello") = 5
• text.lower() → Lowercase
• text.upper() → Uppercase
• text.strip() → Remove spaces
👉 " hi ".strip() = "hi"
• text.replace(old, new)
👉 "hi".replace("h","H") = "Hi"
• String concatenation
👉 "Hello " + "World"
Date Time Functions 📅
• from datetime import datetime
• datetime.now() → Current date time
• Extract values:
now = datetime.now() now.year now.month now.day
Math Functions ➗
• import math
• math.sqrt(x) → Square root
• math.ceil(x) → Round up
• math.floor(x) → Round down
• abs(x) → Absolute value
Conditional Aggregation (Like Excel SUMIF) ⚡
• Using list comprehension
nums = [10, 20, 30, 40] sum(x for x in nums if x > 20) # 70
• Count condition
len([x for x in nums if x > 20]) # 2
Pro Tip for Data Analysts 💡
👉 For real-world work, use libraries: pandas & numpy
Example:
import pandas as pd df["salary"].mean()
Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
Double Tap ♥️ For More | 885 |
| 6 |  📢 Advertising in this channel
You can place an ad via Telega․io. It takes just a few minutes.
Formats and current rates: View details | 707 |
| 7 |  Aaj hi ek certified Hackar bano!💻
Shuru se saari cheeze seekho bilkul basic se!!
PW skills leke aaya h certified Ethical Hacking ka course!!
Isme milega :
✅ Hands on Practice
✅ LIVE Hacking Labs
✅ Certificate after Completion
Sirf Rs 4999 mai
Abhi enroll karo HACK30 Coupon code use karke 30% OFF milega!
Enroll NOW : https://pwskills.com/web-development/certified-ethical-hacking-course-035473/?source=pwskills.com&position=course_dropdown&from=home_page&utm_source=pwskills&utm_medium=telegram&utm_campaign=ethical_hacking | 956 |
| 8 |  +1🔰 Python Set Methods | 995 |
| 9 | 🎯If you want to survive in AI era, you must complete these 5 Free AI Courses by google before the 2026 ends 👇
1/ Introduction to Generative AI:
https://www.skills.google/course_templates/536
2/ Introduction to LLM:
https://www.skills.google/course_templates/539
3/ Introduction to Responsible AI:
https://www.skills.google/course_templates/554
4/ GenAI Bootcamp:
https://cloudonair.withgoogle.com/gen-ai-bootcamp
5/ Google AI Essentials:
https://www.skills.google/paths/2336 | 1 216 |
| 10 | Top linked list questions to practice:
1. 🔄 Reverse a Linked List
2. 🔁 Detect a Cycle in a Linked List
3. 🤝 Find the Merge Point of Two Linked Lists
4. 🚫 Remove N-th Node From End of List
5. 🔗 Merge Two Sorted Linked Lists
6. 🖼️ Check if a Linked List is a Palindrome
7. 🚨 Remove Duplicates from a Sorted List
8. 🎯 Find the Middle of a Linked List
9. 🔄 Rotate a Linked List
10. 📑 Implement a Doubly Linked List
11. 📊 Implement a Circular Linked List
12. 🛠️ Add Two Numbers Represented by Linked Lists
13. 🧹 Remove Linked List Elements
14. 🧩 Partition List around a value
15. 🔄 Reverse Nodes in k-Group | 1 167 |
| 11 |  🔰 Take Screenshots using Python | 1 141 |
| 12 | Master Python the Right Way – Without Procrastination. 🐍✨
When I first started learning Python, I quickly realized:
You can't master a programming language just by reading syntax or watching tutorials. 📚🚫
Real growth happens when you practice, build, and solve problems on your own. 🛠💻
That's exactly why I've compiled a collection of Python programs – designed to take you from basics to advanced logic-building. 📈🧠
What is this collection about? 🤔
✔️ Beginner to advanced programs with clear explanations
✔️ Pattern-based exercises to strengthen core fundamentals
✔️ Problem-solving programs that sharpen logical thinking
Why is this important? 🌟
You don't just learn "how to code", you start learning "how to think like a programmer". 🧠⚡️
This is perfect for: 🎯
• Preparing for technical interviews 🤝
• Participating in coding challenges 🏆
• Building real-world Python projects 🚀
https://t.me/pythonRe | 1 375 |
| 13 | LINK DELETED IN 5 MINUTES !
⚡Click HERE and join now to earn 40$ per day ⚡
#ad 📢 InsideAd | 21 |
| 14 | LINK DELETED IN 5 MINUTES !
⚡Click HERE and join now to earn 40$ per day ⚡
#ad 📢 InsideAd | 252 |
| 15 | ⚡Click HERE and join now to earn 40$ per day ⚡
#ad 📢 InsideAd | 178 |
| 16 |  What if your phone could start making you money daily? 📲💰
Forex trading isn’t just for experts anymore. Thousands of everyday people are building income online with the right guidance, smart entries, and winning strategies. 🚀
Inside our premium Forex community, you’ll get:
✔️ High-quality trade signals
✔️ Daily market analysis
✔️ Smart risk management tips
✔️ Winning strategies for XAUUSD, BTC & major pairs
No guesswork. No wasting time. Just real opportunities to grow. 📈
The market moves every day… the question is: will you profit from it or watch others win? 👀
Join now and start your trading journey today 👉 https://t.me/cuetraders
#ad 📢 InsideAd | 120 |
| 17 |  Did you know… most AI tools are just overhyped glorified chatbots? 😱 Stop using them for simple tasks and level up your workflow efficiency! ⚡️
Adopt a systematic approach! Transform repeated tasks into workflows that enhance your productivity. Instead of saying, “summarize this email,” say:
- “extract requests”
- “detect urgency”
- “draft reply”
Your AI should be a work system.
Discover practical methods to optimize your daily processes and join our community for more insights: Unlock Your AI Potential
👉 Grab the playbook and turn AI into your work ally!
#ad 📢 InsideAd | 223 |
| 18 |  SAP and massage
#ad 📢 InsideAd | 206 |
| 19 |  Что если я скажу… Unlock Exclusive Numbers Here? Here’s your insider’s roadmap to the latest updates 🔥
- Every new number is a step towards greater connection. Discover new services added just for you.
- Fresh additions just in: From Tajikistan to Venezuela, uncover specific details that matter most.
- Stay ahead of the crowd by accessing these unique opportunities.
Dive deeper into this exclusive content and elevate your game 👉 Claim Your Numbers Now
#ad 📢 InsideAd | 81 |
| 20 | ⚡Click HERE and join now to earn 40$ per day ⚡
#ad 📢 InsideAd | 183 |
