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Python Interviews
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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📈 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 28 759 suscriptores, ocupando la posición 4 793 en la categoría Tecnologías y Aplicaciones y el puesto 15 226 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 28 759 suscriptores.
Según los últimos datos del 04 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 95, y en las últimas 24 horas de 2, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 0.63%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.85% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 181 visualizaciones. En el primer día suele acumular 243 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
- 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 05 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.
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Suscriptores
+224 horas
+167 días
+9530 días
Archivo de publicaciones
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Repost from Python for Data Analysts
𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲 𝗼𝗻 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗯𝘆 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴.𝗔𝗜 & 𝗢𝗽𝗲𝗻𝗔𝗜😍
💡 Think ChatGPT is Just for Fun? Think Again📌
In today’s AI-driven world, knowing how to communicate effectively with large language models (LLMs) is more than just a bonus — it’s a competitive edge📊🎯
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jn7aKh
Use ChatGPT like a developer — not just a casual user✅️
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Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝗠𝗮𝘀𝘁𝗲𝗿 𝟲 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘!😍
Want to boost your career with highly sought-after tech skills? These 6 YouTube channels will help you learn from scratch!👨💻
No need for expensive courses—start learning for FREE today!🚀
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3Ddxd7P
Don’t miss this opportunity—start learning today and take your skills to the next level!✅️
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Learn DSA Visually
Links to Sites to help you learn Data Structures and Algorithms Visually:
Data Structure Visualisations :
https://www.cs.usfca.edu/~galles/visualization/Algorithms.html
Visualgo:
https://visualgo.net/en
Visualizing Algorithms by Mike Bostock :
https://bost.ocks.org/mike/algorithms/
All the best 👍👍
#coding
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Repost from Python for Data Analysts
𝟰 𝗙𝗿𝗲𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍
Want to Boost Your Resume with In-Demand Python Skills?👨💻
In today’s tech-driven world, Python is one of the most in-demand programming languages across data science, software development, and machine learning📊📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3Hnx3wh
Enjoy Learning ✅️
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Repost from Python for Data Analysts
𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀😍
𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸𝘀:-👇
S&P Global :- https://pdlink.in/3ZddwVz
IBM :- https://pdlink.in/4kDmMKE
TVS Credit :- https://pdlink.in/4mI0JVc
Sutherland :- https://pdlink.in/4mGYBgg
Other Jobs :- https://pdlink.in/44qEIDu
Apply before the link expires 💫
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Python Interview Questions – Part 1
1. What is Python?
Python is a high-level, interpreted programming language known for its readability and wide range of libraries.
2. Is Python statically typed or dynamically typed?
Dynamically typed. You don't need to declare data types explicitly.
3. What is the difference between a list and a tuple?
List is mutable, can be modified.
Tuple is immutable, cannot be changed after creation.
4. What is indentation in Python?
Indentation is used to define blocks of code. Python strictly relies on indentation instead of brackets {}.
5. What is the output of this code?
x = [1, 2, 3]
print(x * 2)
Answer: [1, 2, 3, 1, 2, 3]
6. Write a Python program to check if a number is even or odd.
num = int(input("Enter number: "))
if num % 2 == 0:
print("Even")
else:
print("Odd")
7. What is a Python dictionary?
A collection of key-value pairs. Example:
person = {"name": "Alice", "age": 25}
8. Write a function to return the square of a number.
def square(n):
return n * n
Coding Interviews: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING 👍👍
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Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝟱 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗧𝗲𝗰𝗵 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍
Want to build job-ready tech skills from top companies — all for free?👨🎓
These 5 virtual experience programs offer hands-on learning, beginner-friendly modules, and certificates that strengthen your resume and LinkedIn profile 📊📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jnOv16
All The Best 🎊
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How to stay motivated while learning to code:
🎯 Set small, achievable goals each week
✅ Celebrate every tiny win — progress is progress
🧱 Build projects you're actually excited about
👥 Join communities or study groups for support
✍️ Keep a coding journal to track your growth
📚 Mix learning with building — apply what you learn
🎮 Turn coding into a game with challenges (like LeetCode, HackerRank)
🧘 Avoid burnout — take breaks when needed
🔁 Remind yourself why you started — purpose fuels progress
Programming Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍
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Repost from Python for Data Analysts
𝟰 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗙𝗿𝗲𝗲 𝗥𝗼𝗮𝗱𝗺𝗮𝗽𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗔𝗜/𝗠𝗟 & 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 😍
Learn Tech the Smart Way: Step-by-Step Roadmaps for Beginners🚀
Learning tech doesn’t have to be overwhelming—especially when you have a roadmap to guide you!📊📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45wfx2V
Enjoy Learning ✅️
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🚀 Roadmap to Master Python Programming 🔰
📂 Python Fundamentals
∟📂 Learn Syntax, Variables & Data Types
∟📂 Master Control Flow & Functions
∟📂 Practice with Simple Projects
📂 Intermediate Concepts
∟📂 Object-Oriented Programming (OOP)
∟📂 Work with Modules & Packages
∟📂 Understand Exception Handling & File I/O
📂 Data Structures & Algorithms
∟📂 Lists, Tuples, Dictionaries & Sets
∟📂 Algorithms & Problem Solving
∟📂 Master Recursion & Iteration
📂 Python Libraries & Tools
∟📂 Get Comfortable with Pip & Virtual Environments
∟📂 Learn NumPy & Pandas for Data Handling
∟📂 Explore Matplotlib & Seaborn for Visualization
📂 Web Development with Python
∟📂 Understand Flask & Django Frameworks
∟📂 Build RESTful APIs
∟📂 Integrate Front-End & Back-End
📂 Advanced Topics
∟📂 Concurrency: Threads & Asyncio
∟📂 Learn Testing with PyTest
∟📂 Dive into Design Patterns
📂 Projects & Real-World Applications
∟📂 Build Command-Line Tools & Scripts
∟📂 Contribute to Open-Source
∟📂 Showcase on GitHub & Portfolio
📂 Interview Preparation & Job Hunting
∟📂 Solve Python Coding Challenges
∟📂 Master Data Structures & Algorithms Interviews
∟📂 Network & Apply for Python Roles
✅️ Happy Coding
React "❤️" for More 👨💻
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Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝟴 𝗕𝗲𝘀𝘁 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗠𝗜𝗧 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱😍
🎓 Learn Data Science for Free from the World’s Best Universities🚀
Top institutions like Harvard, MIT, and Stanford are offering world-class data science courses online — and they’re 100% free. 🎯📍
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3Hfpwjc
All The Best 👍
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🚀 𝗛𝗼𝘄 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗧𝗵𝗮𝘁 𝗧𝗿𝘂𝗹𝘆 𝗦𝘁𝗮𝗻𝗱𝘀 𝗢𝘂𝘁
In today’s competitive landscape, a strong resume alone won't get you far. If you're aiming for 𝘆𝗼𝘂𝗿 𝗱𝗿𝗲𝗮𝗺 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗿𝗼𝗹𝗲, you need a portfolio that speaks volumes—one that highlights your skills, thinking process, and real-world impact.
A great portfolio isn’t just a collection of projects. It’s your story as a data scientist—and here’s how to make it unforgettable:
🔹 𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗮𝗻 𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼?
✅ Quality Over Quantity – A few impactful projects are far better than a dozen generic ones.
✅ Tell a Story – Clearly explain the problem, your approach, and key insights. Keep it engaging.
✅ Show Range – Demonstrate a variety of skills—data cleaning, visualization, analytics, modeling.
✅ Make It Relevant – Choose projects with real-world business value, not just toy Kaggle datasets.
🔥 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗜𝗱𝗲𝗮𝘀 𝗧𝗵𝗮𝘁 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗲𝗿𝘀 𝗡𝗼𝘁𝗶𝗰𝗲
1️⃣ Customer Churn Prediction – Help businesses retain customers through insights.
2️⃣ Social Media Sentiment Analysis – Extract opinions from real-time data like tweets or reviews.
3️⃣ Supply Chain Optimization – Solve efficiency problems using operational data.
4️⃣ E-commerce Recommender System – Personalize shopping experiences with smart suggestions.
5️⃣ Interactive Dashboards – Use Power BI or Tableau to tell compelling visual stories.
📌 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗮 𝗞𝗶𝗹𝗹𝗲𝗿 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼
💡 Host on GitHub – Keep your code clean, well-structured, and documented.
💡 Write About It – Use Medium or your own site to explain your projects and decisions.
💡 Deploy Your Work – Use tools like Streamlit, Flask, or FastAPI to make your projects interactive.
💡 Open Source Contributions – It’s a great way to gain credibility and connect with others.
A great data science portfolio is not just about code—it's about solving real problems with data.
Free Data Science Resources: https://t.me/datalemur
All the best 👍👍
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Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗧𝗲𝗰𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
🚀 Learn In-Demand Tech Skills for Free — Certified by Microsoft!
These free Microsoft-certified online courses are perfect for beginners, students, and professionals looking to upskill
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3Hio2Vg
Enroll For FREE & Get Certified🎓️
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𝗙𝗥𝗘𝗘 𝗧𝗔𝗧𝗔 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽😍
Gain Real-World Data Analytics Experience with TATA – 100% Free!
This free TATA Data Analytics Virtual Internship on Forage lets you step into the shoes of a data analyst — no experience required!
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3FyjDgp
Enroll For FREE & Get Certified🎓️
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Repost from Python for Data Analysts
𝗧𝗼𝗽 𝗠𝗡𝗖𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
Google :- https://pdlink.in/3H2YJX7
Microsoft :- https://pdlink.in/4iq8QlM
Infosys :- https://pdlink.in/4jsHZXf
IBM :- https://pdlink.in/3QyJyqk
Cisco :- https://pdlink.in/4fYr1xO
Enroll For FREE & Get Certified 🎓
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Repost from Python for Data Analysts
𝟰 𝗙𝗿𝗲𝗲 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝘁𝗼 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗸𝗶𝗹𝗹𝘀 𝗗𝗮𝗶𝗹𝘆 (𝗡𝗼 𝗦𝗶𝗴𝗻𝘂𝗽 𝗡𝗲𝗲𝗱𝗲𝗱!)😍
🚀 Want to Sharpen Your Data Analytics Skills for FREE?💫
If you’re learning data analytics and want to build real skills, theory alone won’t cut it. You need hands-on practice—and the best part? You can do it daily, for free!🎯
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/44WK6ie
Enjoy Learning ✅️
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Beginner’s Roadmap to Learn Data Structures & Algorithms
1. Foundations: Start with the basics of programming and mathematical concepts to build a strong foundation.
2. Data Structure: Dive into essential data structures like arrays, linked lists, stacks, and queues to organise and store data efficiently.
3. Searching & Sorting: Learn various search and sort techniques to optimise data retrieval and organisation.
4. Trees & Graphs: Understand the concepts of binary trees and graph representation to tackle complex hierarchical data.
5. Recursion: Grasp the principles of recursion and how to implement recursive algorithms for problem-solving.
6. Advanced Data Structures: Explore advanced structures like hashing, heaps, and hash maps to enhance data manipulation.
7. Algorithms: Master algorithms such as greedy, divide and conquer, and dynamic programming to solve intricate problems.
8. Advanced Topics: Delve into backtracking, string algorithms, and bit manipulation for a deeper understanding.
9. Problem Solving: Practice on coding platforms like LeetCode to sharpen your skills and solve real-world algorithmic challenges.
10. Projects & Portfolio: Build real-world projects and showcase your skills on GitHub to create an impressive portfolio.
Best DSA RESOURCES: https://topmate.io/coding/886874
All the best 👍👍
