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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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📈 Análisis del canal de Telegram Coding Projects

El canal Coding Projects (@programming_experts) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 67 949 suscriptores, ocupando la posición 1 912 en la categoría Tecnologías y Aplicaciones y el puesto 4 646 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 949 suscriptores.

Según los últimos datos del 05 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 46, y en las últimas 24 horas de 11, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.29%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.01% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 234 visualizaciones. En el primer día suele acumular 685 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
  • Intereses temáticos: El contenido se centra en temas clave como |--, algorithm, array, framework, javascript.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 06 noviembre, 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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67 949
Suscriptores
+1124 horas
+297 días
+4630 días
Archivo de publicaciones
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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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