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不要被骗子欺骗!Telemetrio 会找到并标记这些频道 👉 如果想查看标记,请订阅

Coding Projects

Coding Projects

前往频道在 Telegram

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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📈 Telegram 频道 Coding Projects 的分析概览

频道 Coding Projects (@programming_experts) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 67 957 名订阅者,在 技术与应用 类别中位列第 1 912,并在 印度 地区排名第 4 641 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 67 957 名订阅者。

根据 05 十一月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 46,过去 24 小时变化为 11,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 3.29%。内容发布后 24 小时内通常能获得 1.01% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 234 次浏览,首日通常累积 685 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 4。
  • 主题关注点: 内容集中在 |--, algorithm, array, framework, javascript 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data”

凭借高频更新(最新数据采集于 06 十一月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

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67 957
订阅者
+1124 小时
+297 天
+4630 天
帖子存档
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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

photo content

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