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Python Projects & Free Books

Python Projects & Free Books

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Python Interview Projects & Free Courses Admin: @Coderfun

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📈 Analytical overview of Telegram channel Python Projects & Free Books

Channel Python Projects & Free Books (@pythonfreebootcamp) in the English language segment is an active participant. Currently, the community unites 40 801 subscribers, ranking 3 179 in the Technologies & Applications category and 9 475 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 801 subscribers.

According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -59 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.31%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 352 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
  • Thematic interests: Content is focused on key topics such as learning, analyst, framework, link:-, structure.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Python Interview Projects & Free Courses Admin: @Coderfun

Thanks to the high frequency of updates (latest data received on 28 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

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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 👍👍