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Data Careers Resources & Job Updates | iamrupnath

Data Careers Resources & Job Updates | iamrupnath

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👉 Connect LinkedIn : https://www.linkedin.com/in/rupnath-shaw Google Search => Techcompreviews IG: @iamrupnath Perfect channel for Data Careers, Job Updates Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more

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📈 Análisis del canal de Telegram Data Careers Resources & Job Updates | iamrupnath

El canal Data Careers Resources & Job Updates | iamrupnath (@codewithrup) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 20 627 suscriptores, ocupando la posición 6 217 en la categoría Tecnologías y Aplicaciones y el puesto 19 801 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 20 627 suscriptores.

Según los últimos datos del 28 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -373, y en las últimas 24 horas de -12, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.96%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.09% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 818 visualizaciones. En el primer día suele acumular 224 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
  • Intereses temáticos: El contenido se centra en temas clave como apply, qualification, bachelor, degree, engineer.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“👉 Connect LinkedIn : https://www.linkedin.com/in/rupnath-shaw Google Search => Techcompreviews IG: @iamrupnath Perfect channel for Data Careers, Job Updates Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 29 septiembre, 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.

20 627
Suscriptores
-1224 horas
-867 días
-37330 días
Archivo de publicaciones
Python Django pdf 🚀

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Full-Stack Developer Learning Roadmap ├── 1. Foundations │ ├── 1.1. Computer Science Basics │ │ ├── Algorithms │ │ ├── Data Structures │ │ ├── Time and Space Complexity │ │ └── Problem-Solving Techniques │ ├── 1.2. Version Control │ │ ├── Git │ │ ├── GitHub/GitLab │ │ ├── Branching and Merging │ │ └── Pull Requests │ ├── 1.3. Basic Command Line Usage │ │ ├── Linux/Unix Commands │ │ └── File System Navigation │ └── 1.4. Networking Basics │ ├── HTTP/HTTPS │ ├── APIs │ └── RESTful Principles ├── 2. Frontend Development │ ├── 2.1. HTML │ │ ├── Semantic HTML │ │ ├── Forms and Inputs │ │ └── Accessibility (ARIA) │ ├── 2.2. CSS │ │ ├── Flexbox and Grid │ │ ├── Responsive Design │ │ ├── CSS Frameworks (Bootstrap, Tailwind) │ │ └── Preprocessors (SASS/SCSS) │ ├── 2.3. JavaScript │ │ ├── ES6+ Features │ │ ├── DOM Manipulation │ │ ├── Event Handling │ │ └── Asynchronous Programming (Promises, Async/Await) │ ├── 2.4. Frontend Frameworks │ │ ├── React.js (or Angular/Vue.js) │ │ ├── State Management (Redux, Context API) │ │ └── Component Lifecycle │ └── 2.5. Tools │ ├── Webpack │ ├── Babel │ └── NPM/Yarn ├── 3. Backend Development │ ├── 3.1. Programming Languages │ │ ├── JavaScript (Node.js) │ │ ├── Python (Django/Flask) │ │ ├── Java (Spring Boot) │ │ └── PHP (Laravel) │ ├── 3.2. Databases │ │ ├── Relational Databases (MySQL, PostgreSQL) │ │ ├── NoSQL Databases (MongoDB, Redis) │ │ ├── ORMs (Sequelize, Mongoose) │ │ └── Database Design and Normalization │ ├── 3.3. APIs │ │ ├── RESTful APIs │ │ ├── GraphQL │ │ └── API Documentation (Swagger, Postman) │ ├── 3.4. Authentication and Authorization │ │ ├── JWT (JSON Web Tokens) │ │ ├── OAuth │ │ └── Session Management │ └── 3.5. Server Management │ ├── Web Servers (Nginx, Apache) │ ├── Deployment (Docker, Kubernetes) │ └── Cloud Platforms (AWS, Azure, GCP) ├── 4. DevOps and Deployment │ ├── 4.1. CI/CD Pipelines │ │ ├── Jenkins │ │ ├── GitHub Actions │ │ └── GitLab CI/CD │ ├── 4.2. Containerization │ │ ├── Docker │ │ └── Kubernetes │ ├── 4.3. Monitoring and Logging │ │ ├── Prometheus │ │ ├── Grafana │ │ └── ELK Stack (Elasticsearch, Logstash, Kibana) │ └── 4.4. Infrastructure as Code (IaC) │ ├── Terraform │ └── Ansible ├── 5. Advanced Topics │ ├── 5.1. Web Security │ │ ├── HTTPS/SSL │ │ ├── CORS │ │ ├── XSS and CSRF Prevention │ │ └── SQL Injection Prevention │ ├── 5.2. Performance Optimization │ │ ├── Lazy Loading │ │ ├── Caching Strategies │ │ └── Code Splitting │ ├── 5.3. Progressive Web Apps (PWAs) │ │ ├── Service Workers │ │ ├── Offline Capabilities │ │ └── Push Notifications │ └── 5.4. WebSockets and Real-Time Communication │ ├── Socket. IO │ └── WebRTC └── 6. Soft Skills and Best Practices ├── 6.1. Agile Methodologies │ ├── Scrum │ └── Kanban ├── 6.2. Collaboration Tools │ ├── Jira │ ├── Trello │ └── Slack ├── 6.3. Code Quality │ ├── Code Reviews │ ├── Testing (Unit, Integration, E2E) │ └── Linting and Formatting (ESLint, Prettier) └── 6.4. Continuous Learning ├── Open Source Contributions ├── Tech Blogs and Communities └── Online Courses and Certifications Follow me and turn on notifications

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