Python

Tech Stack Roadmaps by Career Path 🛣️ What to learn depending on the job you’re aiming for 👇 1. Frontend Developer ❯ HTML, CSS, JavaScript ❯ Git & GitHub ❯ React / Vue / Angular ❯ Responsive Design ❯ Tailwind / Bootstrap ❯ REST APIs ❯ TypeScript (Bonus) ❯ Testing (Jest, Cypress) ❯ Deployment (Netlify, Vercel) 2. Backend Developer ❯ Any language (Node.js, Python, Java, Go) ❯ Git & GitHub ❯ REST APIs & JSON ❯ Databases (SQL & NoSQL) ❯ Authentication & Security ❯ Docker & CI/CD Basics ❯ Unit Testing ❯ Frameworks (Express, Django, Spring Boot) ❯ Deployment (Render, Railway, AWS) 3. Full-Stack Developer ❯ Everything from Frontend + Backend ❯ MVC Architecture ❯ API Integration ❯ State Management (Redux, Context API) ❯ Deployment Pipelines ❯ Git Workflows (PRs, Branching) 4. Data Analyst ❯ Excel, SQL ❯ Python (Pandas, NumPy) ❯ Data Visualization (Matplotlib, Seaborn) ❯ Power BI / Tableau ❯ Statistics & EDA ❯ Jupyter Notebooks ❯ Business Acumen 5. DevOps Engineer ❯ Linux & Shell Scripting ❯ Git & GitHub ❯ Docker & Kubernetes ❯ CI/CD Tools (Jenkins, GitHub Actions) ❯ Cloud (AWS, GCP, Azure) ❯ Monitoring (Prometheus, Grafana) ❯ IaC (Terraform, Ansible) 6. Machine Learning Engineer ❯ Python + Math (Linear Algebra, Stats) ❯ Scikit-learn, Pandas, NumPy ❯ Deep Learning (TensorFlow/PyTorch) ❯ ML Lifecycle (Train, Tune, Deploy) ❯ Model Evaluation ❯ MLOps (MLflow, Docker, FastAPI) React with ❤️ if you found this helpful — content like this is rare to find on the internet! Credits: https://t.me/lesformations ENJOY LEARNING 👍👍