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📈 Análisis del canal de Telegram Python Projects & Free Books

El canal Python Projects & Free Books (@pythonfreebootcamp) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 40 801 suscriptores, ocupando la posición 3 179 en la categoría Tecnologías y Aplicaciones y el puesto 9 475 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 801 suscriptores.

Según los últimos datos del 27 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -59, y en las últimas 24 horas de -12, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.31%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 352 visualizaciones. En el primer día suele acumular 0 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 learning, analyst, framework, link:-, structure.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Python Interview Projects & Free Courses Admin: @Coderfun

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 28 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.

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Archivo de publicaciones
𝟱 𝗕𝗲𝘀𝘁 𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 1)Python for Data Science 2)SQL & Relational Databas
𝟱 𝗕𝗲𝘀𝘁 𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍  1)Python for Data Science  2)SQL & Relational Databases  3)Applied Data Science with Python  4)Machine Learning with Python  5)Data Analysis with Python 𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/3QyJyqk Enroll For FREE & Get Certified🎓

Python Projects
+8
Python Projects

𝟱 𝗙𝗿𝗲𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲😍 Want to gain real-world experience
𝟱 𝗙𝗿𝗲𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲😍 Want to gain real-world experience and make your resume stand out? These 100% free & remote virtual internships will help you develop in-demand skills from top global companies! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4bajU4J Enroll Now & Get Certfied 🎓

Candlestick chart plot using Python
Candlestick chart plot using Python

⌨️ Python Tips & Tricks
+3
⌨️ Python Tips & Tricks

𝗕𝗲𝘀𝘁 𝗙𝗿𝗲𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗧𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲😍 1️⃣ BCG Data Science & Analyt
𝗕𝗲𝘀𝘁 𝗙𝗿𝗲𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗧𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲😍 1️⃣ BCG Data Science & Analytics 2️⃣ TATA Data Visualization Internship 3️⃣ Accenture Data Analytics 4️⃣ PwC Power BI Internship 5️⃣ British Airways Data Science 6️⃣ Quantium Data Analytics   𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4i9L0LA Enroll For FREE & Get Certified 🎓

𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 - SQL - Blockchain - HTML & CSS - Excel, and - Generative AI These free
𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 - SQL - Blockchain - HTML & CSS - Excel, and - Generative AI  These free full courses will take you from beginner to expert! 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4gRuzlV Enroll For FREE & Get Certified 🎓

𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 – 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲!😍 Want to break into Machine Lear
𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 – 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲!😍 Want to break into Machine Learning without spending a fortune?💡 This 100% FREE course is your ultimate guide to learning ML with Python from scratch!✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4k9xb1x 💻 Start Learning Now → Enroll Here✅️

Many people pay too much to learn Python, but my mission is to break down barriers. I have shared complete learning series to learn Python from scratch. Here are the links to the Python series Complete Python Topics for Data Analyst: https://t.me/sqlspecialist/548 Part-1: https://t.me/sqlspecialist/562 Part-2: https://t.me/sqlspecialist/564 Part-3: https://t.me/sqlspecialist/565 Part-4: https://t.me/sqlspecialist/566 Part-5: https://t.me/sqlspecialist/568 Part-6: https://t.me/sqlspecialist/570 Part-7: https://t.me/sqlspecialist/571 Part-8: https://t.me/sqlspecialist/572 Part-9: https://t.me/sqlspecialist/578 Part-10: https://t.me/sqlspecialist/577 Part-11: https://t.me/sqlspecialist/578 Part-12: https://t.me/sqlspecialist/581 Part-13: https://t.me/sqlspecialist/583 Part-14: https://t.me/sqlspecialist/584 Part-15: https://t.me/sqlspecialist/585 I saw a lot of big influencers copy pasting my content after removing the credits. It's absolutely fine for me as more people are getting free education because of my content. But I will really appreciate if you share credits for the time and efforts I put in to create such valuable content. I hope you can understand. Complete SQL Topics for Data Analysts: https://t.me/sqlspecialist/523 Complete Power BI Topics for Data Analysts: https://t.me/sqlspecialist/588 I'll continue with learning series on Excel & Tableau. Thanks to all who support our channel and share the content with proper credits. You guys are really amazing. Hope it helps :)

𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 – 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲!😍 Want to break into Machine Lear
𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 – 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲!😍 Want to break into Machine Learning without spending a fortune?💡 This 100% FREE course is your ultimate guide to learning ML with Python from scratch!✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4k9xb1x 💻 Start Learning Now → Enroll Here✅️

Learn Trending Skills in 2025 🔰 1. Web Development ➝ ◀️ https://t.me/webdevcoursefree 2. CSS ➝ ◀️ http://css-tricks.com 3. JavaScript ➝ ◀️ http://t.me/javascript_courses 4. React ➝ ◀️ http://react-tutorial.app 5. Tailwind CSS ➝ ◀️ http://scrimba.com 6. Data Science  ➝ ◀️ https://t.me/datasciencefun 7. Python ➝ ◀️ http://pythontutorial.net 8. SQL ➝ ◀️  https://t.me/sqlanalyst ◀️ https://stratascratch.com/?via=free 9. Git and GitHub ➝ ◀️ http://GitFluence.com 10. Blockchain ➝ ◀️ https://t.me/Bitcoin_Crypto_Web 11. Mongo DB ➝ ◀️ http://mongodb.com 12. Node JS ➝ ◀️ http://nodejsera.com 13. English Speaking ➝ ◀️ https://t.me/englishlearnerspro 14. C#➝ ◀️https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/ 15. Excel➝ ◀️ https://t.me/excel_analyst 16. Generative AI➝ ◀️ https://t.me/generativeai_gpt 17. App Development ➝ ◀️ https://t.me/appsuser 18. Power BI ➝ ◀️ https://t.me/powerbi_analyst 19. Tableau ➝ ◀️ https://www.tableau.com/learn/training 20. Machine Learning ➝ ◀️ http://developers.google.com/machine-learning/crash-course 21. Artificial intelligence ➝ ◀️ http://t.me/machinelearning_deeplearning/ 22. Data Analytics ➝ ◀️ https://medium.com/@data_analyst ◀️ https://www.linkedin.com/company/sql-analysts 23. Java ➝ ◀️ https://t.me/Java_Programming_Notes ◀️ http://learn.microsoft.com/shows/java-for-beginners/ 24. C/C++ ➝ ◀️ http://imp.i115008.net/kjoq9V ◀️ https://docs.microsoft.com/en-us/cpp/c-language/?view=msvc-170&viewFallbackFrom=vs-2019 25. Data Structures ➝ ◀️ https://leetcode.com/study-plan/data-structure/ 26. Cybersecurity ➝ ◀️ https://t.me/EthicalHackingToday 27. Linux ➝ ◀️ https://bit.ly/3KhPdf1 ◀️ https://training.linuxfoundation.org/resources/ 28. Typescript ➝ ◀️ http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/ 29. Deep Learning ➝ ◀️ http://introtodeeplearning.com 30. Compiler Design ➝ ◀️ http://online.stanford.edu/courses/soe-ycscs1-compilers 31. DSA ➝ ◀️ http://techdevguide.withgoogle.com/paths/data-structures-and-algorithms/ 32. Prompt Engineering ➝ ◀️ https://www.promptingguide.ai/ ◀️ https://t.me/aiindi Join @free4unow_backup for more free courses Like for more ❤️ ENJOY LEARNING👍👍

𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 - 𝗝𝗼𝗶𝗻 𝗡𝗼𝘄😍 Want to work on real projects from a top company? 🚨
𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 - 𝗝𝗼𝗶𝗻 𝗡𝗼𝘄😍 Want to work on real projects from a top company? 🚨No experience required🚨 Now’s your chance! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3WWMNLx 📢 Share With Your Friends Who Needs this & Save for Later! 🚀

Python Programs.pdf2.16 MB

⌨️ Python Tips & Tricks
⌨️ Python Tips & Tricks

𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝗳𝗿𝗼𝗺 𝗚𝗹𝗼𝗯𝗮𝗹 𝗚𝗶𝗮𝗻𝘁𝘀!😍 Want real-world experienc
𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝗳𝗿𝗼𝗺 𝗚𝗹𝗼𝗯𝗮𝗹 𝗚𝗶𝗮𝗻𝘁𝘀!😍 Want real-world experience in 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗼𝗿 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜? 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4hZlkAW 🔗 Save & share this post with someone who needs it!

𝗚𝗲𝘁 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗠𝗜𝗧 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 – 𝗡𝗼 𝗖𝗼𝘀𝘁!😍 Why spend thousands on c
𝗚𝗲𝘁 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗠𝗜𝗧 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 – 𝗡𝗼 𝗖𝗼𝘀𝘁!😍 Why spend thousands on courses when the world’s top universities offer them for FREE? 🤯 This website gives you unlimited access to high-quality courses from: ✅ 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 ✅ 𝗠𝗜𝗧 ✅ 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 ✅ 𝗬𝗮𝗹𝗲 & 𝗠𝗼𝗿𝗲! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4aY7jBi 📌 Save this & tag a friend who needs to see this! 🚀

𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 Want to master Python and level up your data ana
𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 Want to master Python and level up your data analytics skills?✨️ These high-quality tutorials to help you go from beginner to pro!✅️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4hXQOHQ 📢 No cost, no catch – just pure learning! 🚀

𝗙𝗥𝗘𝗘 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 1)Business Analysis – Foundation 2)
𝗙𝗥𝗘𝗘 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 1)Business Analysis – Foundation 2)Business Analysis Fundamentals 3)The Essentials of Business & Risk Analysis  4)Master Microsoft Power BI  𝗟𝗶𝗻𝗸 👇:- https://pdlink.in/4hHxBdW Enroll For FREE & Get Certified🎓

Here is the list of few projects (found on kaggle). They cover Basics of Python, Advanced Statistics, Supervised Learning (Regression and Classification problems) & Data Science Please also check the discussions and notebook submissions for different approaches and solution after you tried yourself. 1. Basic python and statistics Pima Indians :- https://www.kaggle.com/uciml/pima-indians-diabetes-database Cardio Goodness fit :- https://www.kaggle.com/saurav9786/cardiogoodfitness Automobile :- https://www.kaggle.com/toramky/automobile-dataset 2. Advanced Statistics Game of Thrones:-https://www.kaggle.com/mylesoneill/game-of-thrones World University Ranking:-https://www.kaggle.com/mylesoneill/world-university-rankings IMDB Movie Dataset:- https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset 3. Supervised Learning a) Regression Problems How much did it rain :- https://www.kaggle.com/c/how-much-did-it-rain-ii/overview Inventory Demand:- https://www.kaggle.com/c/grupo-bimbo-inventory-demand Property Inspection predictiion:- https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction Restaurant Revenue prediction:- https://www.kaggle.com/c/restaurant-revenue-prediction/data IMDB Box office Prediction:-https://www.kaggle.com/c/tmdb-box-office-prediction/overview b) Classification problems Employee Access challenge :- https://www.kaggle.com/c/amazon-employee-access-challenge/overview Titanic :- https://www.kaggle.com/c/titanic San Francisco crime:- https://www.kaggle.com/c/sf-crime Customer satisfcation:-https://www.kaggle.com/c/santander-customer-satisfaction Trip type classification:- https://www.kaggle.com/c/walmart-recruiting-trip-type-classification Categorize cusine:- https://www.kaggle.com/c/whats-cooking 4. Some helpful Data science projects for beginners https://www.kaggle.com/c/house-prices-advanced-regression-techniques https://www.kaggle.com/c/digit-recognizer https://www.kaggle.com/c/titanic 5. Intermediate Level Data science Projects Black Friday Data : https://www.kaggle.com/sdolezel/black-friday Human Activity Recognition Data : https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones Trip History Data : https://www.kaggle.com/pronto/cycle-share-dataset Million Song Data : https://www.kaggle.com/c/msdchallenge Census Income Data : https://www.kaggle.com/c/census-income/data Movie Lens Data : https://www.kaggle.com/grouplens/movielens-20m-dataset Twitter Classification Data : https://www.kaggle.com/c/twitter-sentiment-analysis2 Share with credits: https://t.me/sqlproject ENJOY LEARNING 👍👍