THE BEARDED ENGINEER
前往频道在 Telegram
⭐ Follow on Instagram: https://www.instagram.com/thebearded.engineer/profilecard/?igsh=MzBlZmpxZnE2bm81
显示更多📈 Telegram 频道 THE BEARDED ENGINEER 的分析概览
频道 THE BEARDED ENGINEER (@thebeardedengineer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 24 901 名订阅者,在 技术与应用 类别中位列第 5 246,并在 印度 地区排名第 16 334 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 24 901 名订阅者。
根据 10 十月, 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 -400,过去 24 小时变化为 0,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 0%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 0。
- 主题关注点: 内容集中在 github, perk, developer, q&a, stack 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:
“⭐ Follow on Instagram:
https://www.instagram.com/thebearded.engineer/profilecard/?igsh=MzBlZmpxZnE2bm81”
凭借高频更新(最新数据采集于 11 十月, 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。
24 901
订阅者
无数据24 小时
-787 天
-40030 天
帖子存档
24 896
If you build even ONE of these API projects, you're ahead of 90% of beginners 🔥
24 896
🚨 FREE Cloud DevOps Online Training From HCl Guvi🚨
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Websites That Makes You Better at Programming 🔥
1️⃣ Gamified way to learn Python, DSA, Git.
https://www.codedex.io/
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https://www.w3schools.com/
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https://leetcode.com/problemset/
7️⃣ Full hands-on programming courses.
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24 896
Happy New Year Everyone! 🥳🎉
Wishing everyone success and happiness this year 😌✨
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🚀 Crack Tech Interviews Faster!
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If you can build even one of these APls, your fundamentals will get stronger 💪
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The GitHub Repo That Teaches You Real Engineering Skills 🔥
Build DB, Compilers, Bot and many more..!
https://github.com/codecrafters-io/build-your-own-x
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If you want to learn AI and ML from the very beginning to an advanced level, these 5 Stanford courses are the best:
1️⃣ CS221 – Artificial Intelligence
https://youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX
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3️⃣ CS230 – Deep Learning
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https://youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_
Doing these courses at Stanford normally costs a lot of money. But the good news is that all of them are available free on YouTube.
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10 Things Every Beginner Developer Should Learn: 👨🏾💻👇
How to Google effectively?
How to read documentation?
How to use Git/GitHub?
How to debug your own code?
How to write clean functions?
How to break problems down?
How to work with APIs?
How to ask smart questions?
How to manage burnout?
How to stay curious?
It’s not about speed. It’s about building real skill.
Which of the above you do very well?
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1️⃣ Machine Learning Engineer
(ML + Deployment + MLOps)
GitHub:
https://github.com/DataTalksClub/mlops-zoomcamp
What this project is:
End-to-end ML workflow with:
• Feature engineering, model training
• ML pipelines + experiment tracking
• Model deployment + monitoring
• Perfect for ML job interviews
Stack: Python, Scikit-Learn, Airflow, Prefect, MLflow, Docker, FastAPI
2️⃣ Cybersecurity (Pentesting + Red Team + Exploits)
GitHub:
https://github.com/OWASP/masvs
What this project is:
“Mobile App Security Verification”
• Vulnerability testing guides
• Secure coding practices
• Industry-accepted standard
Stack: Security frameworks, Pentesting tools, Mobile App Security
3️⃣ DevOps / SRE (CI/CD + Kubernetes + Infra Automation)
GitHub:
https://github.com/kelseyhightower/kubernetes-the-hard-way
What this project is:
A real hands-on project where you:
• Deploy Kubernetes cluster manually
• Implement networking, security, TLS
• Learn infra the way real SREs do
Stack: Kubernetes, Cloud (GCP), Linux Containers, Networking, Security
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No company will be able to reject you if you add these 5 skills to your resume 🔥
1. Microsoft: Python for Beginners:
https://learn.microsoft.com/en-us/shows/intro-to-python-development/?wt.mc_id=python-c9-niner
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https://learn.microsoft.com/en-us/training/paths/introduction-to-ai-on-azure/
3. AWS: Cloud computing:
https://skillbuilder.aws/learn/94T2BEN85A/aws-cloud-practitioner-essentials/8D79F3AVR7
4. IBM: Data Science:
https://skillsbuild.org/students/course-catalog/data-science
5. Infosys: Springboard:
https://infyspringboard.onwingspan.com/web/en/login#iss=https://infyspringboard.onwingspan.com/auth/realms/infyspringboard
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12-Week Python Roadmap 🐍
Week 1 – Python Basics
Week 2 – Control Flow
Week 3 – Data Structures I (Lists & Tuples)
Week 4 – Data Structures II (Dictionaries & Sets)
Week 5 – Functions
Week 6 – File Handling
Week 7 – Error Handling & Debugging
Week 8 – Object-Oriented Programming (OOP)
Week 9 – Modules & Packages
Week 10 – APIs
Week 11 – Data Analysis with Pandas
Week 12 – Capstone Project 🤘
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AWS Cloud Developer Roadmap: 2026 Edition ☁️
Stage 1 – Cloud Basics
Stage 2 – AWS Core Services (EC2, S3, RDS)
Stage 3 – IAM (Identity & Access Management)
Stage 4 – Networking (VPC, Route 53)
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Stage 6 – Lambda & Serverless
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🏆 AWS Cloud Developer 🏆
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🚀 FREE AI Access + AI Project Opportunity
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JavaScript Full Stack Developer Roadmap: 2026 Edition 📚
Stage 1 – HTML
Stage 2 – CSS
Stage 3 – JavaScript (ES6+)
Stage 4 – Git + GitHub
Stage 5 – Node.js
Stage 6 – Express.js
Stage 7 – REST APIs
Stage 8 – MongoDB / PostgreSQL
Stage 9 – React.js
Stage 10 – Build Full Stack Project
Stage 11 – Testing (Jest, Mocha)
Stage 12 – Deployment (Vercel / AWS)
🏆 JavaScript Full Stack Developer 🏆
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Basic Skills to Build Before Advanced Topics:
- Learn SQL before ORM.
- Learn Git before Jenkins.
- Learn SQL before NoSQL.
- Learn CSS before Tailwind.
- Learn Linux before Docker.
- Learn Solidity before dApps.
- Learn English before Python.
- Learn REST before GraphQL.
- Learn JavaScript before React.
- Learn HTML before JavaScript
- Learn React before Microfrontends.
- Learn Containers before Kubernetes.
- Learn Monolith before Microservices.
- Learn Data Structures before Leetcode.
- Learn Networking before Cloud Services.
- Learn Monolith before Modular Monolith.
- Learn to draw Flowcharts before writing Code.
