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Python Interview Projects & Free Courses Admin: @Coderfun

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📈 Аналітичний огляд Telegram-каналу Python Projects & Free Books

Канал Python Projects & Free Books (@pythonfreebootcamp) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 40 805 підписників, посідаючи 3 179 місце в категорії Технології та додатки та 9 475 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 40 805 підписників.

За останніми даними від 27 серпня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -59, а за останні 24 години на -12, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 3.31%. Протягом перших 24 годин після публікації контент зазвичай збирає N/A% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 1 352 переглядів. Протягом першої доби публікація в середньому набирає 0 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 1.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як learning, analyst, framework, link:-, structure.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
Python Interview Projects & Free Courses Admin: @Coderfun

Завдяки високій частоті оновлень (останні дані отримано 28 серпня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

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40 805
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-1224 години
-467 днів
-5930 день
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To learn data structures and algorithms in Python, you can follow these steps: 1. Start with the basics: Learn about the most common data structures, such as arrays, linked lists, stacks, queues, trees, and graphs. Learn how to implement them in Python and understand their time and space complexities. 2. Study algorithms: Study the most common algorithms for searching, sorting, and traversing data structures. Understand their time and space complexities and the trade-offs between different algorithms. 3. Practice, practice, practice: The more you practice implementing data structures and algorithms, the better you will get at it. You can start by solving problems on websites like LeetCode and HackerRank, or by working on small projects of your own. 4. Read and learn from others: Read articles and blogs written by experts in the field, and learn from their experiences and insights. Follow the work of other Python developers on Github, and see how they use data structures and algorithms in their projects.

𝗧𝗖𝗦 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Want to kickstart your career in Data
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𝗪𝗮𝗻𝘁 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 — 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗗𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗳𝗿𝗼𝗺 𝗚𝗼𝗼𝗴𝗹𝗲?�
𝗪𝗮𝗻𝘁 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 — 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗗𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗳𝗿𝗼𝗺 𝗚𝗼𝗼𝗴𝗹𝗲?😍 Whether you’re a student, job seeker, or just hungry to upskill — these 5 beginner-friendly courses are your golden ticket. 🎟️ Just career-boosting knowledge and certificates that make your resume pop📄 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/42vL6br All The Best 🎊

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Python Cheatsheet ✅
Python Cheatsheet ✅

Lol 😂
Lol 😂

𝟱 𝗙𝗿𝗲𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗵𝗮𝘁’𝗹𝗹 𝗠𝗮𝗸𝗲 𝗦𝗤𝗟 𝗙𝗶𝗻𝗮𝗹𝗹𝘆 𝗖𝗹𝗶𝗰𝗸.😍 SQL seems tough, right? 😩 These 5
𝟱 𝗙𝗿𝗲𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗵𝗮𝘁’𝗹𝗹 𝗠𝗮𝗸𝗲 𝗦𝗤𝗟 𝗙𝗶𝗻𝗮𝗹𝗹𝘆 𝗖𝗹𝗶𝗰𝗸.😍 SQL seems tough, right? 😩 These 5 FREE SQL resources will take you from beginner to advanced without boring theory dumps or confusion.📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3GtntaC Master it with ease. 💡

𝗧𝗼𝗽 𝟭𝟱 𝗚𝗮𝗺𝗲 𝗗𝗲𝘃 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀👾🎮 1. C++: AAA games (Unreal) 2. C#: Unity, indie game 3. JavaScript: Web game 4. Java: Android game 5. Python: Prototypes (Pygame) 6. Lua: Scripting (Roblox) 7. Swift: iOS games 8. Objective-C: Legacy iOS/macOS 9. Rust: System-level (Amethyst) 10. Go: Multiplayer servers 11. HTML5 + JS: Simple 2D games 12. Kotlin: Android apps 13. Haxe: Cross-platform 2D 14. TypeScript: Scalable web games 15. Ruby: Lightweight 2D games

𝗡𝗼 𝗗𝗲𝗴𝗿𝗲𝗲? 𝗡𝗼 𝗣𝗿𝗼𝗯𝗹𝗲𝗺. 𝗧𝗵𝗲𝘀𝗲 𝟰 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗖𝗮𝗻 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮�
𝗡𝗼 𝗗𝗲𝗴𝗿𝗲𝗲? 𝗡𝗼 𝗣𝗿𝗼𝗯𝗹𝗲𝗺. 𝗧𝗵𝗲𝘀𝗲 𝟰 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗖𝗮𝗻 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗝𝗼𝗯😍 Dreaming of a career in data but don’t have a degree? You don’t need one. What you do need are the right skills🔗 These 4 free/affordable certifications can get you there. 💻✨ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4ioaJ2p Let’s get you certified and hired!✅️

Data analysis with Python Important Topics 😄❤️
Data analysis with Python Important Topics 😄❤️

𝗗𝗿𝗲𝗮𝗺 𝗝𝗼𝗯 𝗮𝘁 𝗚𝗼𝗼𝗴𝗹𝗲? 𝗧𝗵𝗲𝘀𝗲 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗪𝗶𝗹𝗹 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 𝗚𝗲𝘁 𝗧𝗵𝗲𝗿𝗲😍 D
𝗗𝗿𝗲𝗮𝗺 𝗝𝗼𝗯 𝗮𝘁 𝗚𝗼𝗼𝗴𝗹𝗲? 𝗧𝗵𝗲𝘀𝗲 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗪𝗶𝗹𝗹 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 𝗚𝗲𝘁 𝗧𝗵𝗲𝗿𝗲😍 Dreaming of working at Google but not sure where to even begin?📍 Start with these FREE insider resources—from building a resume that stands out to mastering the Google interview process. 🎯 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/441GCKF Because if someone else can do it, so can you. Why not you? Why not now?✅️

from turtle import * import turtle as t def my_turtle(): # Choices sides = str(3) loops = str(450) pen = 1 for i in range(int(loops)): forward(i * 2/int(sides) + i) left(360/int(sides) + .350) hideturtle() pensize(pen) speed(30) my_turtle() t.done()

Drawing Beautiful Design Using Python 👇👇

𝗣𝗼𝘄𝗲𝗿𝗕𝗜 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗿𝗼𝗺 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁😍 ✅ Beginner-friendly ✅ Straight
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5 Essential Portfolio Projects for data analysts 😄👇 1. Exploratory Data Analysis (EDA) on a Real Dataset: Choose a dataset related to your interests, perform thorough EDA, visualize trends, and draw insights. This showcases your ability to understand data and derive meaningful conclusions. Free websites to find datasets: https://t.me/DataPortfolio/8 2. Predictive Modeling Project: Build a predictive model, such as a linear regression or classification model. Use a dataset to train and test your model, and evaluate its performance. Highlight your skills in machine learning and statistical analysis. 3. Data Cleaning and Transformation: Take a messy dataset and demonstrate your skills in cleaning and transforming data. Showcase your ability to handle missing values, outliers, and prepare data for analysis. 4. Dashboard Creation: Utilize tools like Tableau or Power BI to create an interactive dashboard. This project demonstrates your ability to present data insights in a visually appealing and user-friendly manner. 5. Time Series Analysis: Work with time-series data to forecast future trends. This could involve stock prices, weather data, or any other time-dependent dataset. Showcase your understanding of time-series concepts and forecasting techniques. Share with credits: https://t.me/sqlspecialist Like it if you need more posts like this 😄❤️ Hope it helps :)

𝗧𝗼𝗽 𝟰 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗙𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 😍 These FREE resour
𝗧𝗼𝗽 𝟰 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗙𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 😍 These FREE resources are all you need to go from beginner to confident analyst! 💻📊 ✅ Hands-on projects ✅ Beginner to advanced lessons ✅ Resume-worthy skills 𝗟𝗶𝗻𝗸:-👇 https://pdlink.in/4jkQaW1 Learn today, level up tomorrow. Let’s go!✅

We have the Key to unlock AI-Powered Data Skills! We have got some news for College grads & pros: Level up with PW Skills' Da
We have the Key to unlock AI-Powered Data Skills! We have got some news for College grads & pros: Level up with PW Skills' Data Analytics & Data Science with Gen AI course! ✅ Real-world projects ✅ Professional instructors ✅ Flexible learning ✅ Job Assistance Ready for a data career boost? ➡️ Click Here for Data Science with Generative AI Course: https://shorturl.at/j4lTD Click Here for Data Analytics Course: https://shorturl.at/7nrE5

Python For Data Science Cheat Sheet Python Basics 📌 cheatsheet
+8
Python For Data Science Cheat Sheet Python Basics 📌 cheatsheet

𝗟𝗲𝗮𝗿𝗻 𝗡𝗲𝘄 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 & 𝗘𝗮𝗿𝗻 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀!😍 Looking to upgrade your skills in Data
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