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The fastest way to improve your SQL skills: • Write queries daily • Build projects • Solve business problems • Read other people’s code Watching tutorials alone won’t make you job-ready.

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The Best Open Source Repos to Start Contributing Today A. Python 1. github/fastapi/fastapi 2. github/pandas-dev/pandas 3. github/scikit-learn/scikit-learn 4. github/matplotlib/matplotlib 5. github/scrapy/scrapy 6. github/pytest-dev/pytest 7. github/cookiecutter/cookiecutter 8. github/zulip/zulip B. Java 1. github/JabRef/jabref 2. github/trinodb/trino 3. github/open-metadata/OpenMetadata 4. github/questdb/questdb 5. github/elastic/elasticsearch 6. github/TEAMMATES/teammates 7. github/commons-app/apps-android-commons 8. github/zaproxy/zaproxy C. JavaScript / TypeScript 1. github/freeCodeCamp/freeCodeCamp 2. github/storybookjs/storybook 3. github/vitejs/vite 4. github/vitest-dev/vitest 5. github/microsoft/TypeScript 6. github/microsoft/vscode 7. github/eslint/eslint 8. github/fastify/fastify 9. github/hoppscotch/hoppscotch 10. github/appsmithorg/appsmith D. Go 1. github/kubernetes/kubernetes 2. github/helm/helm 3. github/docker/cli 4. github/containerd/containerd 5. github/moby/moby 6. github/gohugoio/hugo 7. github/mattermost/mattermost 8. github/pingcap/tidb 9. github/hashicorp/terraform 10. github/SigNoz/signoz E. Rust 1. github/rust-lang/rust-clippy 2. github/rust-lang/rustfmt 3. github/nushell/nushell 4. github/hyperium/hyper 5. github/servo/servo 6. github/tikv/tikv 7. github/GyulyVGC/sniffnet 8. github/tensorzero/tensorzero F. Cloud / DevOps / Infrastructure 1. github/kubernetes/kubernetes 2. github/helm/helm 3. github/argoproj/argo-cd 4. github/prometheus/prometheus 5. github/grafana/grafana 6. github/open-telemetry/opentelemetry-collector 7. github/hashicorp/terraform 8. github/crossplane/crossplane 9. github/backstage/backstage 10. github/meshery/meshery G. AI / ML / Data 1. github/pytorch/pytorch 2. github/scikit-learn/scikit-learn 3. github/pandas-dev/pandas 4. github/jupyter/notebook 5. github/ray-project/ray 6. github/mlflow/mlflow 7. github/apache/airflow 8. github/apache/superset 9. github/bokeh/bokeh 10. github/pymc-devs/pymc H. Backend / API / Databases 1. github/fastapi/fastapi 2. github/fastify/fastify 3. github/supabase/supabase 4. github/appwrite/appwrite 5. github/hasura/graphql-engine 6. github/PostgREST/postgrest 7. github/trinodb/trino 8. github/questdb/questdb 9. github/pingcap/tidb 10. github/open-metadata/OpenMetadata I. Frontend / UI 1. github/storybookjs/storybook 2. github/vitejs/vite 3. github/vuejs/core 4. github/mui/material-ui 5. github/gatsbyjs/gatsby 6. github/electron/electron 7. github/Leaflet/Leaflet 8. github/webdriverio/webdriverio

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Getting closer 🇳🇴

🐍 Python projects recruiters actually love • Large-Scale Web Scraping Platform → Asyncio Playwright PostgreSQL • Automated Data Pipeline → Python APIs Scheduling ETL • Real-Time Log Analyzer → Regex Multithreading Monitoring • Distributed Task Queue System → Celery Redis Background Workers • API Rate Limiter & Gateway → FastAPI Caching Authentication • File Synchronization Tool → Watchdog Hashing Parallel Processing • Command-Line DevOps Toolkit → Click/Typer SSH Automation • URL Shortener Service → FastAPI PostgreSQL System Design • Code Dependency Visualizer → AST Parsing Graph Generation • Custom Python Package → Packaging Testing Documentation CI/CD • PDF & Document Processing Engine → OCR NLP Data Extraction • Real-Time Stock/Market Tracker → WebSockets Async Programming • Automated Report Generator → Data Processing PDF/Excel Exports • Database Migration Tool → SQLAlchemy Version Control Rollbacks • Workflow Automation Engine → Rules Triggers Task Orchestration You don't need 20 CRUD apps. You need 3–4 projects that demonstrate: • System design • Clean architecture • Database skills • APIs • Automation • Production-ready code That's what makes recruiters think: "Okay, this person can actually build software." 🐍⚡

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Getting started with Python? 1. Learn variables 2. Learn data types 3. Learn strings 4. Learn lists 5. Learn tuples 6. Learn dictionaries 7. Learn sets 8. Learn conditionals 9. Learn loops 10. Learn functions 11. Learn modules 12. Learn file handling 13. Learn error handling 14. Learn list comprehensions 15. Learn object-oriented programming 16. Learn virtual environments 17. Learn pip 18. Learn working with APIs 19. Learn basic automation 20. Learn building small projects

10 system design concepts your interviews are secretly based on. (7th one is asked everywhere.) 1. Scalability: QPS, throughput, latency, storage 2. Load balancing: diverting traffic based on load 3. Database design: SQL vs NoSQL, schemas, indexes 4. Caching: Redis, cache invalidation, cache-aside, ttl 5. Sharding: partitioning data across machines 6. Replication: leader/follower, failover, read replicas 7. Rate limiting: token bucket, sliding window etc. 8. Message queues: Kafka, RabbitMQ, async 9. Consistency tradeoffs: CAP, eventual consistency 10. Reliability patterns: retries, idempotency, backpressure, circuit breakers

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NEVER make these obvious mistakes as a beginner developer: 1. Not using Git from day 1 2. Copy-pasting code without understanding it 3. Not learning breakpoint debugging 4. Hardcoding API keys, URLs, passwords, and config 5. Skipping tests because it works on your machine 6. Ignoring security until deployment. Start with OWASP Top 10 7. Building projects with no README, setup steps, or screenshots 8. Designing random APIs without learning REST basics 9. Staying stuck in tutorial hell. Build real projects bruv 10. Learning frameworks before learning the language properly

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MLOps is becoming one of the most in demand positions to hire in 2026. These are the best FREE resources to learn from: 1. MLOps Zoomcamp by DataTalksClub 2. Made With ML 3. Google ML Crash Course 4. Full Stack Deep Learning 5. Stanford CS329S 6. DeepLearning .AI Machine Learning in Production 7. Microsoft Learn operationalize ML Models 8. Microsoft MLOps GitHub Examples 9. ml-ops .org 10. MLflow Official Tutorials 11. Evidently AI MLOps Tutorials 12. Azure MLOps v2 Accelerator

If you want to become good at system design, then learn these 15 case studies:

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Learning JavaScript in 2026: JavaScript TypeScript React Next.js Node.js Bun Deno At this point, "learning JavaScript" is a full-time job. 🚀

POWER BI ROADMAP : 1. Basics Understand what Power BI Business Intelligence is. 2. Learn the interface Import data and explore reports, data and model views. 3. Power Query Clean and transform data (fix errors, nulls, formats). 4. Data Modeling Learn relationships and star schema. 5. DAX Basics Start with SUM, COUNT, AVERAGE, CALCULATE. 6. Dashboards Build simple projects (sales, churn, performance). 7. Portfolio Create 3–5 real-world projects with insights.