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c_forcoding

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C++, C, python & DSA and many more info about programming so just join our coders community ☺️

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📈 Análisis del canal de Telegram c_forcoding

El canal c_forcoding (@cforcodingofficial) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 18 146 suscriptores, ocupando la posición 5 586 en la categoría Tecnologías y Aplicaciones y el puesto 29 620 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 18 146 suscriptores.

Según los últimos datos del 31 mayo, 2025, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -191, y en las últimas 24 horas de 0, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 0%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 0 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
  • Intereses temáticos: El contenido se centra en temas clave como dsa, learning, programming, certification, sql.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
C++, C, python & DSA and many more info about programming so just join our coders community ☺️

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 01 junio, 2025), 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.

18 146
Suscriptores
Sin datos24 horas
-377 días
-19130 días
Archivo de publicaciones
DBMS Handwritten Notes -1.pdf12.60 MB

SQL Handwritten Notes -4.pdf16.51 MB

Node js Handwritten Notes .pdf22.14 MB

React js Handwritten Notes -2.pdf63.29 MB

Data Structures and Algorithm Handwritten Notes .pdf16.91 MB

SQL Handwritten Notes -5.pdf20.93 MB

MongoDB Handwritten Notes .pdf23.09 MB

JavaScript Handwritten Notes -2.pdf49.83 MB

C++.pdf4.88 MB

🔹Oops in c++🔹 INTERVIEW ◼️SERIES -2 .pdf12.61 MB

OOPS In C++.pdf3.17 MB

500 most asked apti ques in tcs, wipro, infos(105pgs).pdf2.43 MB

React JS Interview Questions.pdf1.21 KB

SQL Complete Handwritten Notes.pdf19.82 MB

🔟 Python resources to boost your resume 👇👇 𝟭. 𝗜𝗻𝘁𝗿𝗼 𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻 This a great course to get started with learning Python, if you have no coding experience. 👉 https://kaggle.com/learn/intro-to-programming 𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝘂𝗿𝘀𝗲 Learn the fundamentals like functions, loops, conditional statements, etc of the most important language for data science. 👉 https://kaggle.com/learn/python 𝟯. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 Part 1 prepares you for PCEP – Certified Entry-Level Python Programmer Certification. Part 2 prepares you for PCAP – Certified Associate in Python Programming Certification. 👉 https://netacad.com/courses/programming/pcap-programming-essentials-python 𝟰. Python Data Structure and Algorithms 👉https://python.org 𝟱. 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You'll learn Python fundamentals like variables, loops, conditionals, and functions. Then you'll quickly ramp up to complex data structures, networking, relational databases, and data visualization. 👉 https://freecodecamp.org/learn/scientific-computing-with-python/ 𝟲. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You'll learn how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data. 👉 https://freecodecamp.org/learn/data-analysis-with-python/ 𝟳. 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You will learn how to implement the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. 👉 https://cognitiveclass.ai/courses/data-visualization-python#about-course 𝟴. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You will build several neural networks and explore more advanced techniques like natural language processing and reinforcement learning. 👉 https://freecodecamp.org/learn/machine-learning-with-python/ 9. Practice Python 👉 https://learnpython.org/ 10. Free Python course by datacamp 👉 https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-1-python-basics?ex=1 ENJOY LEARNING 👍👍

+15
Python Programming. .pdf3.33 MB

+9
Java Notes .pdf1.45 MB

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MongoDB Handwritten Notes 💡.pdf23.09 MB