Coding Interview Resources

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This channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_data

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📈 Análisis del canal de Telegram Coding Interview Resources

El canal Coding Interview Resources (@crackingthecodinginterview) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 52 157 suscriptores, ocupando la posición 2 572 en la categoría Tecnologías y Aplicaciones y el puesto 7 210 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 52 157 suscriptores.

Según los últimos datos del 12 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 148, y en las últimas 24 horas de -2, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.25%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.86% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 1 174 visualizaciones. En el primer día suele acumular 448 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
Intereses temáticos: El contenido se centra en temas clave como array, stack, algorithm, programming, sort.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“This channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_data”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 13 junio, 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.

52 157

Suscriptores

-224 horas

+127 días

+14830 días

1 174

Visitas de la publicación

~ 44824 horas

~ 60648 horas

2.25%

Tasa de compromiso

~ 1

Mensajes por día

Ads index

beta

Archivo de publicaciones

52 157

Coding patterns for MAANG Interviews .pdf3.10 KB

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Golden Rules to answer in a System Design Interview.pdf3.11 MB

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Python 3 Object-oriented Programming Dusty Phillips, 2015

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programming in c (4th edition) - stephen g. kochan(1).pdf17.63 MB

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Mastering ChatGPT Cea West, 2023

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Algorithms Robert Sedgewick, 2011

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RESUME TIPS

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Manual For Data Science Projects _ Dutch Analytics.pdf1.10 MB

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CS345_Algorithms_II_Algorithm_Design_by_Jon_Kleinberg_Eva_Tardos.pdf4.98 MB

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⚡️Great news! How do sneaky people make money sitting at home in 2023?⤵️ In this channel , a guy using bugs sites, makes algorithms with which you can legally get a normal cash 💵! Hurry and subscribe to his channel, while it is available 👇🏼 https://t.me/+2F_HWnmmvCIwNjk1 https://t.me/joinchat/2F_HWnmmvCIwNjk1

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Top 10 Interview Questions for Product Owner.pdf0.94 KB

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Repost from Jobs | Internships | Placement | Interviews

Agile-Project-Management-Best-Practices-and-Methodologies-Whitepaper (1).pdf

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JavaScript and JQuery Jon Duckett, 2014

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Important Interview Questions with Answers 💻✅

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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.

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Common Job Interview questions 😊

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Deep Learning Interviews Shlomo Kashani, 2020

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Repost from Coding Projects

Advanced Data Structures and Algorithms Abirami A., 2023