# Cloud/Development Cheatsheet

<span class="break-words
      "><span dir="ltr"> 𝗖𝗮𝗿𝗲𝗳𝘂𝗹𝗹𝘆 𝗖𝘂𝗿𝗮𝘁𝗲𝗱 𝗖𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁𝘀   
</span></span>

1. <span class="break-words
          "><span dir="ltr">Python : [https://lnkd.in/grD8XUS6](https://lnkd.in/grD8XUS6)  
    2. Pandas : [https://lnkd.in/g4yTJ7CP](https://lnkd.in/g4yTJ7CP)  
    3. NumPy : [https://lnkd.in/gg9Uw-km](https://lnkd.in/gg9Uw-km)  
    4. Matplotlib [https://lnkd.in/gahrGicD](https://lnkd.in/gahrGicD)  
    5. Seaborn [https://lnkd.in/gcu4UKpw](https://lnkd.in/gcu4UKpw)  
    6. Scikit-learn [https://lnkd.in/gGfkNu5i](https://lnkd.in/gGfkNu5i)  
    7. TensorFlow : [https://lnkd.in/g3fw3uRV](https://lnkd.in/g3fw3uRV)  
    8. Keras : [https://lnkd.in/gfPTfbgg](https://lnkd.in/gfPTfbgg)  
    9. PyTorch [https://bit.ly/3lnsiIz](https://bit.ly/3lnsiIz)  
    10. SQL : [https://lnkd.in/gnwe4qcb](https://lnkd.in/gnwe4qcb)  
    11. R : [https://lnkd.in/gEgJ6A8j](https://lnkd.in/gEgJ6A8j)  
    12. Git : [https://lnkd.in/gyzhztvH](https://lnkd.in/gyzhztvH)  
    13. AWS [https://bit.ly/3ZQWMS1](https://bit.ly/3ZQWMS1)  
    14. Azure [https://bit.ly/42f4N4V](https://bit.ly/42f4N4V)  
    15. Google Cloud Platform : [https://bit.ly/3JJADzv](https://bit.ly/3JJADzv)  
    16. Docker : [https://bit.ly/3Lt2zJe](https://bit.ly/3Lt2zJe)  
    17. Kubernetes [https://lnkd.in/gjXCT7Mb](https://lnkd.in/gjXCT7Mb)  
    18. Linux Command Line : [https://bit.ly/3FtcTgw](https://bit.ly/3FtcTgw)  
    19. Jupyter Notebook [https://lnkd.in/g7cPmgHQ](https://lnkd.in/g7cPmgHQ)  
    20. Data Wrangling :[https://bit.ly/3TiMibP](https://bit.ly/3TiMibP)  
    21. Data Visualization : [https://lnkd.in/gQ52Jd\_J](https://lnkd.in/gQ52Jd_J)  
    22. Statistical Inference [https://lnkd.in/grNXVQh5](https://lnkd.in/grNXVQh5)  
    23. Probability : [https://lnkd.in/gvnWCphc](https://lnkd.in/gvnWCphc)  
    24. Linear Algebra : [https://lnkd.in/gty6XpVF](https://lnkd.in/gty6XpVF)  
    25. Calculus [https://lnkd.in/gjhsmsxu](https://lnkd.in/gjhsmsxu)  
    26. Time Series : [https://bit.ly/3Fvuep4](https://bit.ly/3Fvuep4)  
    27. NLP: [https://bit.ly/3Fvursm](https://bit.ly/3Fvursm)  
    28. Neural Network : [https://lnkd.in/gThs2AAp](https://lnkd.in/gThs2AAp)  
    29. Deep Learning : [https://lnkd.in/gVbSPae2](https://lnkd.in/gVbSPae2)  
    30. Machine Learning : [https://bit.ly/3mZ5Wh3](https://bit.ly/3mZ5Wh3)  
    31. Apache Spark : [https://lnkd.in/ge7Rj-Yr](https://lnkd.in/ge7Rj-Yr)  
    32. Hadoop : [https://bit.ly/3Lq34DR](https://bit.ly/3Lq34DR)  
    33. Big-O Notation t: [https://lnkd.in/gfYqM8WU](https://lnkd.in/gfYqM8WU)  
    34. Regular Expression : [https://lnkd.in/gE9kZTZW](https://lnkd.in/gE9kZTZW)  
    35. Unix/Linux Permissions [https://bit.ly/3ZUfwA8](https://bit.ly/3ZUfwA8)  
    36. Python String Formatting [https://lnkd.in/gHi26Uk2](https://lnkd.in/gHi26Uk2)  
    37. Flask : [https://lnkd.in/gGzbSTgU](https://lnkd.in/gGzbSTgU)  
    38. Django : [https://lnkd.in/grZcWz8y](https://lnkd.in/grZcWz8y)  
    39. SQL : [https://lnkd.in/gyierV3f](https://lnkd.in/gyierV3f)  
    40. PostgreSQL : [https://lnkd.in/gzfiW7zB](https://lnkd.in/gzfiW7zB)  
    41. MySQL: [https://lnkd.in/g4JnPVTe](https://lnkd.in/g4JnPVTe)  
    42. MongoDB : [https://lnkd.in/gHc4F4ER](https://lnkd.in/gHc4F4ER)  
    43. TensorFlow Probability Cheat Sheet: [https://lnkd.in/gr3bgDGP](https://lnkd.in/gr3bgDGP)  
    44. OpenAI GPT-3 Documentation: [https://lnkd.in/gawB\_SC9](https://lnkd.in/gawB_SC9)  
    45. GPT-3 API Reference: [https://lnkd.in/gtCGZvX8](https://lnkd.in/gtCGZvX8)  
    46. GPT-3 GitHub Repository: [https://lnkd.in/g56cQQPD](https://lnkd.in/g56cQQPD)  
    47. Chat GPT Cheat Sheet : [<span>https://lnkd.in/e43cDB9q</span>](https://lnkd.in/e43cDB9q)</span></span><span class="break-words
          "><span dir="ltr">  
    48.[ Apache Cookbook](https://planforfailure.com/docs/pdf/apache2_cookbook.pdf)  
    </span></span><span class="break-words
          "><span dir="ltr">71 Python projects with [source code.](https://planforfailure.com/docs/71_python_projects.pdf "71 Python Projects")</span></span>