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🌟 π™·πšŽπš•πš•πš˜, 𝙸'πš– π™ΌπšžπšœπšŠπšπšπš’πššπšžπšŽ! Waving hand animated gif

🌐 π™²πš‘πšŽπšŒπš” 𝚘𝚞𝚝 πš–πš’ πš™πš˜πš›πšπšπš˜πš•πš’πš˜: 𝚠𝚠𝚠.πš–πšžπšœπšŠπšπšπš’πššπšžπšŽ.πšœπš’πšπšŽ share-3

𝙸'πš– 𝚊 πš™πšŠπšœπšœπš’πš˜πš—πšŠπšπšŽ πšπšŽπšŒπš‘ πšŽπš—πšπš‘πšžπšœπš’πšŠπšœπš πš πš’πšπš‘ 𝚊 πšπšŽπšŽπš™ πš•πš˜πšŸπšŽ πšπš˜πš› πšŠπš›πšπš’πšπš’πšŒπš’πšŠπš• πš’πš—πšπšŽπš•πš•πš’πšπšŽπš—πšŒπšŽ πšŠπš—πš πš‹πšŠπšŒπš”πšŽπš—πš πšœπš’πšœπšπšŽπš–πšœ. π™Όπš’ πš“πš˜πšžπš›πš—πšŽπš’ πš›πšŽπšŸπš˜πš•πšŸπšŽπšœ πšŠπš›πš˜πšžπš—πš πš‘πšŠπš›πš—πšŽπšœπšœπš’πš—πš πšπš‘πšŽ πš™πš˜πš πšŽπš› 𝚘𝚏 πšπšŽπšŒπš‘πš—πš˜πš•πš˜πšπš’ 𝚝𝚘 πš‹πšžπš’πš•πš πš’πš—πš—πš˜πšŸπšŠπšπš’πšŸπšŽ πšœπš˜πš•πšžπšπš’πš˜πš—πšœ πšŠπš—πš πš™πšžπšœπš‘ πšπš‘πšŽ πš•πš’πš–πš’πšπšœ 𝚘𝚏 πš πš‘πšŠπšβ€™πšœ πš™πš˜πšœπšœπš’πš‹πš•πšŽ. πŸ€–

πŸ’» πšƒπšŽπšŒπš‘ πš‚πšπšŠπšŒπš”:

𝙲++ Java Python JavaScript TypeScript C# Go Node.js Express.js SpringBoot Django FastAPI .NET MySQL PostgreSQL MongoDB Redis GraphQL RESTful APIs gRPC Microservices Docker Kubernetes k3s Linux Nginx Apache CI/CD Jenkins Terraform Ansible Vercel Render Netlify Heroku React Next.js Gatsby Tailwind CSS Bootstrap HTML5 CSS3 TensorFlow PyTorch Keras Scikit-learn Pandas NumPy Hugging Face OpenCV NLP Computer Vision Deep Learning Machine Learning

πŸ”§ π™²πšžπš›πš›πšŽπš—πš π™΅πš˜πšŒπšžπšœ:

  • π™³πšŽπšŸπ™Ύπš™πšœ π™Ώπš›πšŠπšŒπšπš’πšŒπšŽπšœ: π™²πš›πšŠπšπšπš’πš—πš πšœπšŽπšŠπš–πš•πšŽπšœπšœ πšŠπš—πš πšŽπšπšπš’πšŒπš’πšŽπš—πš πš™πš’πš™πšŽπš•πš’πš—πšŽπšœ πšπš‘πšŠπš πšŽπš—πš‘πšŠπš—πšŒπšŽ πš™πš›πš˜πšπšžπšŒπšπš’πšŸπš’πšπš’ πšŠπš—πš πš›πšŽπš•πš’πšŠπš‹πš’πš•πš’πšπš’.
  • π™²πš•πš˜πšžπš π™²πš˜πš–πš™πšžπšπš’πš—πš: π™»πšŽπšŸπšŽπš›πšŠπšπš’πš—πš πšŒπš•πš˜πšžπš πšπšŽπšŒπš‘πš—πš˜πš•πš˜πšπš’πšŽπšœ 𝚝𝚘 πš‹πšžπš’πš•πš πšœπšŒπšŠπš•πšŠπš‹πš•πšŽ, πš›πšŽπšœπš’πš•πš’πšŽπš—πš πšœπš’πšœπšπšŽπš–πšœ.
  • π™³πšŽπšŽπš™ π™»πšŽπšŠπš›πš—πš’πš—πš πšŠπš—πš π™»π™»π™Όπšœ: π™΄πš‘πš™πš•πš˜πš›πš’πš—πš πšŒπšžπšπšπš’πš—πš-𝚎𝚍𝚐𝚎 πšŠπšπšŸπšŠπš—πšŒπšŽπš–πšŽπš—πšπšœ πš’πš— πš–πšŠπšŒπš‘πš’πš—πšŽ πš•πšŽπšŠπš›πš—πš’πš—πš 𝚝𝚘 πšŒπš›πšŽπšŠπšπšŽ πš’πš—πšπšŽπš•πš•πš’πšπšŽπš—πš πšœπš˜πš•πšžπšπš’πš˜πš—πšœ.
  • π™±πšŠπšŒπš”πšŽπš—πš π™³πšŽπšŸπšŽπš•πš˜πš™πš–πšŽπš—πš πšŠπš—πš πš‚πš’πšœπšπšŽπš– π™³πšŽπšœπš’πšπš—: π™³πšŽπšœπš’πšπš—πš’πš—πš πš›πš˜πš‹πšžπšœπš πš‹πšŠπšŒπš”πšŽπš—πš πšŠπš›πšŒπš‘πš’πšπšŽπšŒπšπšžπš›πšŽπšœ πšπš‘πšŠπš πš™πš˜πš πšŽπš› πš–πš˜πšπšŽπš›πš— πšŠπš™πš™πš•πš’πšŒπšŠπšπš’πš˜πš—πšœ.

𝙸 πšπš‘πš›πš’πšŸπšŽ πš˜πš— πš™πšžπšœπš‘πš’πš—πš πšπšŽπšŒπš‘πš—πš˜πš•πš˜πšπš’πšŒπšŠπš• πš‹πš˜πšžπš—πšπšŠπš›πš’πšŽπšœ πšŠπš—πš πš‹πšžπš’πš•πšπš’πš—πš πšœπš’πšœπšπšŽπš–πšœ πšπš‘πšŠπš πšŠπš›πšŽ πš‹πš˜πšπš‘ πš™πš˜πš πšŽπš›πšπšžπš• πšŠπš—πš πšœπšŒπšŠπš•πšŠπš‹πš•πšŽ.

πŸ‘πŸ» π™΄πš‘πšŒπš’πšπšŽπš 𝚝𝚘 π™²πš˜πš•πš•πšŠπš‹πš˜πš›πšŠπšπšŽ π™Ύπš—:

  • 𝙰𝙸-π™Ώπš˜πš πšŽπš›πšŽπš π™°πš™πš™πš•πš’πšŒπšŠπšπš’πš˜πš—πšœ: π™³πšŽπšŸπšŽπš•πš˜πš™πš’πš—πš πš’πš—πšπšŽπš›πšŠπšŒπšπš’πšŸπšŽ πš πšŽπš‹πšœπš’πšπšŽπšœ πšŠπš—πš πšŠπš™πš™πšœ πšπš‘πšŠπš 𝚞𝚜𝚎 𝙰𝙸 𝚝𝚘 πšπš›πš’πšŸπšŽ πšœπš–πšŠπš›πšπšŽπš› πšπšŽπšŒπš’πšœπš’πš˜πš—-πš–πšŠπš”πš’πš—πš.
  • π™Έπš—πš—πš˜πšŸπšŠπšπš’πšŸπšŽ π™±πšŠπšŒπš”πšŽπš—πš πš‚πš˜πš•πšžπšπš’πš˜πš—πšœ: π™²πš›πšŠπšπšπš’πš—πš πš‹πšŠπšŒπš”πšŽπš—πš πšœπš’πšœπšπšŽπš–πšœ πšπš‘πšŠπš πšŠπš›πšŽ πš˜πš™πšπš’πš–πš’πš£πšŽπš πšπš˜πš› πš™πšŽπš›πšπš˜πš›πš–πšŠπš—πšŒπšŽ πšŠπš—πš πšœπšŒπšŠπš•πšŠπš‹πš’πš•πš’πšπš’.
  • π™²πš˜πš–πš™πš•πšŽπš‘ πš‚πš’πšœπšπšŽπš– π™°πš›πšŒπš‘πš’πšπšŽπšŒπšπšžπš›πšŽπšœ: π™²πš˜πš•πš•πšŠπš‹πš˜πš›πšŠπšπš’πš—πš πš˜πš— πšπšŽπšœπš’πšπš—πš’πš—πš πšŠπš—πš πš’πš–πš™πš•πšŽπš–πšŽπš—πšπš’πš—πš πšœπš˜πš™πš‘πš’πšœπšπš’πšŒπšŠπšπšŽπš πšœπš’πšœπšπšŽπš– πšœπš˜πš•πšžπšπš’πš˜πš—πšœ.

🀝 π™°πš•πš πšŠπš’πšœ π™Ύπš™πšŽπš— πšƒπš˜:

  • π™Ίπš—πš˜πš πš•πšŽπšπšπšŽ πš‚πš‘πšŠπš›πš’πš—πš: π™΄πš‘πšŒπš‘πšŠπš—πšπš’πš—πš πš’πš—πšœπš’πšπš‘πšπšœ πšŠπš—πš πš•πšŽπšŠπš›πš—πš’πš—πš πšπš›πš˜πš– πš˜πšπš‘πšŽπš›πšœ πš’πš— πšπš‘πšŽ πšπšŽπšŒπš‘ πšŒπš˜πš–πš–πšžπš—πš’πšπš’.
  • π™²πš˜πš•πš•πšŠπš‹πš˜πš›πšŠπšπš’πšŸπšŽ π™Ώπš›πš˜πš“πšŽπšŒπšπšœ: π™ΏπšŠπš›πšπš—πšŽπš›πš’πš—πš πš˜πš— πš™πš›πš˜πš“πšŽπšŒπšπšœ πšπš‘πšŠπš πšπšŠπšŒπš”πš•πšŽ πšŒπš˜πš–πš™πš•πšŽπš‘ πš™πš›πš˜πš‹πš•πšŽπš–πšœ πšŠπš—πš πšŽπš‘πš™πš•πš˜πš›πšŽ πš—πšŽπš  πšπšŽπšŒπš‘πš—πš˜πš•πš˜πšπš’πšŽπšœ.
  • π™΄πš‘πš™πš•πš˜πš›πš’πš—πš π™½πšŽπš  πšƒπš›πšŽπš—πšπšœ: π™³πš’πšŸπš’πš—πš πš’πš—πšπš˜ πšŽπš–πšŽπš›πšπš’πš—πš πš–πšŽπšπš‘πš˜πšπš˜πš•πš˜πšπš’πšŽπšœ πšŠπš—πš πšπš˜πš˜πš•πšœ 𝚝𝚘 𝚜𝚝𝚊𝚒 πšŠπš‘πšŽπšŠπš πš’πš— πšπš‘πšŽ πšŽπšŸπšŽπš›-πšŽπšŸπš˜πš•πšŸπš’πš—πš πšπšŽπšŒπš‘ πš•πšŠπš—πšπšœπšŒπšŠπš™πšŽ.

πŸ† GitHub Trophies

🌴 π™²πšžπš›πš›πšŽπš—πšπš•πš’ π™΄πš‘πš™πš•πš˜πš›πš’πš—πš:

  • π™Ίπšžπš‹πšŽπš›πš—πšŽπšπšŽπšœ & πš”πŸΉπšœ: π™ΌπšŠπšœπšπšŽπš›πš’πš—πš πšŒπš˜πš—πšπšŠπš’πš—πšŽπš› πš˜πš›πšŒπš‘πšŽπšœπšπš›πšŠπšπš’πš˜πš— πšπš˜πš› πš‹πšŽπšπšπšŽπš› πšπšŽπš™πš•πš˜πš’πš–πšŽπš—πš πšŠπš—πš πš–πšŠπš—πšŠπšπšŽπš–πšŽπš—πš 𝚘𝚏 πšŠπš™πš™πš•πš’πšŒπšŠπšπš’πš˜πš—πšœ.
  • π™±πš•πš˜πšŒπš”πšŒπš‘πšŠπš’πš— & πš†πšŽπš‹πŸΉ: π™Έπš—πšŸπšŽπšœπšπš’πšπšŠπšπš’πš—πš πšπšŽπšŒπšŽπš—πšπš›πšŠπš•πš’πš£πšŽπš πšπšŽπšŒπš‘πš—πš˜πš•πš˜πšπš’πšŽπšœ πšŠπš—πš πšπš‘πšŽπš’πš› πš™πš˜πšπšŽπš—πšπš’πšŠπš• 𝚝𝚘 πšπš›πšŠπš—πšœπšπš˜πš›πš– πš’πš—πšπšžπšœπšπš›πš’πšŽπšœ.
  • π™³πš’πšœπšπš›πš’πš‹πšžπšπšŽπš πš‚πš’πšœπšπšŽπš–πšœ & π™³πšŽπšŒπšŽπš—πšπš›πšŠπš•πš’πš£πšŽπš π™°πš™πš™πš•πš’πšŒπšŠπšπš’πš˜πš—πšœ: π™±πšžπš’πš•πšπš’πš—πš πšœπš˜πš•πšžπšπš’πš˜πš—πšœ πšπš‘πšŠπš πšŽπš—πš‘πšŠπš—πšŒπšŽ πšœπšŒπšŠπš•πšŠπš‹πš’πš•πš’πšπš’ πšŠπš—πš πš›πšŽπšœπš’πš•πš’πšŽπš—πšŒπšŽ.

π™Έπš— 𝚊 πš πš˜πš›πš•πš πš πš‘πšŽπš›πšŽ πšπšŽπšŒπš‘πš—πš˜πš•πš˜πšπš’ πš’πšœ πš›πšŠπš™πš’πšπš•πš’ πšŠπšπšŸπšŠπš—πšŒπš’πš—πš, 𝙸 πšŠπš– πšŒπš˜πš–πš–πš’πšπšπšŽπš 𝚝𝚘 πš›πšŽπš–πšŠπš’πš—πš’πš—πš 𝚊𝚝 πšπš‘πšŽ πšπš˜πš›πšŽπšπš›πš˜πš—πš 𝚘𝚏 πš—πšŽπš  πšπš›πšŽπš—πšπšœ πšŠπš—πš πš’πš—πš—πš˜πšŸπšŠπšπš’πš˜πš—πšœ.

πŸ”– π™΅πšŽπšŽπš• π™΅πš›πšŽπšŽ 𝚝𝚘 π™°πšœπš” π™ΌπšŽ π™°πš‹πš˜πšžπš:

  • π™ΌπšŠπšŒπš‘πš’πš—πšŽ π™»πšŽπšŠπš›πš—πš’πš—πš & 𝙰𝙸: π™΅πš›πš˜πš– πšπš˜πšžπš—πšπšŠπšπš’πš˜πš—πšŠπš• πš™πš›πš’πš—πšŒπš’πš™πš•πšŽπšœ 𝚝𝚘 πšŠπšπšŸπšŠπš—πšŒπšŽπš πšπšŽπšŒπš‘πš—πš’πššπšžπšŽπšœ, π™Έβ€™πš– πš‘πšŽπš›πšŽ 𝚝𝚘 πšπš’πšœπšŒπšžπšœπšœ πšŠπš•πš• πšπš‘πš’πš—πšπšœ 𝙰𝙸.
  • πš‚πš’πšœπšπšŽπš– π™³πšŽπšœπš’πšπš— & π™±πšŠπšŒπš”πšŽπš—πš π™³πšŽπšŸπšŽπš•πš˜πš™πš–πšŽπš—πš: π™³πš’πšŸπšŽ πš’πš—πšπš˜ πšŒπš˜πš—πšŸπšŽπš›πšœπšŠπšπš’πš˜πš—πšœ πšŠπš‹πš˜πšžπš πšŒπš›πšŠπšπšπš’πš—πš πšŽπšπšπš’πšŒπš’πšŽπš—πš πšŠπš—πš πšœπšŒπšŠπš•πšŠπš‹πš•πšŽ πš‹πšŠπšŒπš”πšŽπš—πš πšœπš’πšœπšπšŽπš–πšœ.
  • π™²πš•πš˜πšžπš πšƒπšŽπšŒπš‘πš—πš˜πš•πš˜πšπš’πšŽπšœ & π™³πšŽπšŸπ™Ύπš™πšœ π™Ώπš›πšŠπšŒπšπš’πšŒπšŽπšœ: π™΄πš‘πš™πš•πš˜πš›πšŽ πš‹πšŽπšœπš πš™πš›πšŠπšŒπšπš’πšŒπšŽπšœ πšπš˜πš› πšŒπš•πš˜πšžπš πš’πš—πšπš›πšŠπšœπšπš›πšžπšŒπšπšžπš›πšŽ πšŠπš—πš π™³πšŽπšŸπ™Ύπš™πšœ πš πš˜πš›πš”πšπš•πš˜πš πšœ.

πš†πš‘πšŽπšπš‘πšŽπš› πš’πš˜πšžβ€™πš›πšŽ 𝚊 πšπšŽπš•πš•πš˜πš  πšπšŽπšŒπš‘ πšŽπš—πšπš‘πšžπšœπš’πšŠπšœπš πš˜πš› πšœπš˜πš–πšŽπš˜πš—πšŽ πšŽπšŠπšπšŽπš› 𝚝𝚘 πšŽπš‘πš™πš•πš˜πš›πšŽ πšπš‘πšŽπšœπšŽ πšπš’πšŽπš•πšπšœ, π™Έβ€™πš– πš‘πšŽπš›πšŽ 𝚝𝚘 πšœπš‘πšŠπš›πšŽ πš”πš—πš˜πš πš•πšŽπšπšπšŽ πšŠπš—πš πš πš˜πš›πš” πšπš˜πšπšŽπšπš‘πšŽπš› πš˜πš— πšπš›πš˜πšžπš—πšπš‹πš›πšŽπšŠπš”πš’πš—πš πš™πš›πš˜πš“πšŽπšŒπšπšœ.

⚑️ π™΅πšžπš— π™΅πšŠπšŒπš:

π™Έβ€™πš– πšπš›πš’πšŸπšŽπš— πš‹πš’ 𝚊 πšπšŠπšœπšŒπš’πš—πšŠπšπš’πš˜πš— πš πš’πšπš‘ 𝙰𝙸 πšŠπš—πš πš–πšŠπšŒπš‘πš’πš—πšŽ πš•πšŽπšŠπš›πš—πš’πš—πš, πš‹πšŽπš•πš’πšŽπšŸπš’πš—πš πšπš‘πšŠπš πšπš‘πšŽ πšπšžπšπšžπš›πšŽ πš’πšœ πšπš˜πš›πšπšŽπš πšπš‘πš›πš˜πšžπšπš‘ 𝚍𝚊𝚝𝚊 πšŠπš—πš πšŠπš•πšπš˜πš›πš’πšπš‘πš–πšœ. π™»πšŽπš'𝚜 πš‹πšžπš’πš•πš πšπš‘πšŠπš πšπšžπšπšžπš›πšŽ πšπš˜πšπšŽπšπš‘πšŽπš› πšŠπš—πš πš–πšŠπš”πšŽ 𝚊 πš–πšŽπšŠπš—πš’πš—πšπšπšžπš• πš’πš–πš™πšŠπšŒπš! 🌟

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