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Coding Projects

Coding Projects

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Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data

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📈 Аналитический обзор Telegram-канала Coding Projects

Канал Coding Projects (@programming_experts) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 67 949 подписчиков, занимая 1 912 место в категории Технологии и приложения и 4 646 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 67 949 подписчиков.

Согласно последним данным от 05 ноября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 46, а за последние 24 часа — 11, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.29%. В первые 24 часа после публикации контент обычно набирает 1.01% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 234 просмотров. В течение первых суток публикация набирает 685 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 4.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как |--, algorithm, array, framework, javascript.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data”

Благодаря высокой частоте обновлений (последние данные получены 06 ноября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

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67 949
Подписчики
+1124 часа
+297 дней
+4630 дней
Архив постов
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Learn STM32-RTOS Hands on Project Aharen San, 2022

Learn Java In One Day and Learn It Well Jamie Chan, 2016

30 deep learning projects-2.pdf0.51 KB

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Intelligence-Driven Incident Response (SafefilekU.com).pdf1.39 MB

Check out the list of top 10 Python projects on GitHub given below. 1. Magenta: Explore the artist inside you with this python project. A Google Brain’s brainchild, it leverages deep learning and reinforcement learning algorithms to create drawings, music, and other similar artistic products. 2. Photon: Designing web crawlers can be fun with the Photon project. It is a fast crawler designed for open-source intelligence tools. Photon project helps you perform data crawling functions, which include extracting data from URLs, e-mails, social media accounts, XML and pdf files, and Amazon buckets. 3. Mail Pile: Want to learn some encrypting tricks? This project on GitHub can help you learn to send and receive PGP encrypted electronic mails. Powered by Bayesian classifiers, it is capable of automatic tagging and handling huge volumes of email data, all organized in a clean web interface. 4. XS Strike: XS Strike helps you design a vulnerability to check your network’s security. It is a security suite developed to detect vulnerability attacks. XSS attacks inject malicious scripts into web pages. XSS’s features include four handwritten parsers, a payload generator, a fuzzing engine, and a fast crawler. 5. Google Images Download: It is a script that looks for keywords and phrases to optionally download the image files. All you need to do is, replicate the source code of this project to get a sense of how it works in practice. 6. Pandas Project: Pandas library is a collection of data structures that can be used for flexible data analysis and data manipulation. Compared to other libraries, its flexibility, intuitiveness, and automated data manipulation processes make it a better choice for data manipulation. 7. Xonsh: Used for designing interactive applications without the need for command-line interpreters like Unix. It is a Python-powered Shell language that commands promptly. An easily scriptable application that comes with a standard library, and various types of variables and has its own virtual environment management system. 8. Manim: The Mathematical Animation Engine, Manim, can create video explainers. Using Python 3.7, it produces animated videos, with added illustrations and display graphs. Its source code is freely available on GitHub and for tutorials and installation guides, you can refer to their 3Blue1Brown YouTube channel. 9. AI Basketball Analysis: It is an artificial intelligence application that analyses basketball shots using an object detection concept. All you need to do is upload the files or submit them as a post requests to the API. Then the OpenPose library carries out the calculations to generate the results. 10. Rebound: A great project to put Python to use in building Stackoverflow content, this tool is built on the Urwid console user interface, and solves compiler errors. Using this tool, you can learn how the Beautiful Soup package scrapes StackOverflow and how subprocesses work to find compiler errors.

Python Scripting for Computational Science Hans Petter Langtangen, 2009

Fraud_analytics_using_descriptive_predictive_and_social_network.pdf12.72 MB

Blockchain Development for Finance Projects Ishan Roy, 2020

Hand-on docker for microservices with python.epub13.82 MB

71 Python Projects-2.pdf0.42 KB

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Voice Recorder Project 💻

Python Projects For Hacking
Python Projects For Hacking

MERN Projects for Beginners Nabendu Biswas, 2021

Rock Paper Scissor Game Source Code in Python

Algorithmic concepts for anyone who is taking Data Structure and Algorithms, or interested in algorithmic trading 😉

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All SQL solutions for leetcode, good luck grinding 🫣

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FREE PROJECTS WITH SOURCE CODE