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A collection of useful Python code snippets and some coding problem solutions from leet-code ad educative.io websites.

  1. Python : https://lnkd.in/grD8XUS6
  2. Pandas : https://lnkd.in/g4yTJ7CP
  3. NumPy : https://lnkd.in/gg9Uw-km
  4. Matplotlib : https://lnkd.in/gahrGicD
  5. Seaborn : https://lnkd.in/gcu4UKpw
  6. Scikit-learn : https://lnkd.in/gGfkNu5i
  7. TensorFlow : https://lnkd.in/g3fw3uRV
  8. Keras : https://lnkd.in/gfPTfbgg
  9. PyTorch : https://ow.ly/6TQI50PjRA5
  10. SQL : https://lnkd.in/gnwe4qcb
  11. GeoPandas : https://lnkd.in/d-hnRaJt
  12. Git : https://lnkd.in/gyzhztvH
  13. AWS : https://bit.ly/3ZQWMS1
  14. Azure : https://bit.ly/42f4N4V
  15. Google Cloud Platform : https://bit.ly/3JJADzv
  16. Docker : https://bit.ly/3Lt2zJe
  17. Kubernetes : https://lnkd.in/gjXCT7Mb
  18. Linux Command Line : https://bit.ly/3FtcTgw
  19. Jupyter Notebook : https://lnkd.in/g7cPmgHQ
  20. Data Wrangling : https://bit.ly/3TiMibP
  21. Data Visualization : https://lnkd.in/gQ52Jd_J
  22. Statistical Inference : https://lnkd.in/grNXVQh5
  23. Probability : https://lnkd.in/gvnWCphc
  24. Linear Algebra : https://lnkd.in/gty6XpVF
  25. Calculus : https://lnkd.in/gjhsmsxu
  26. Time Series : https://bit.ly/3Fvuep4
  27. NLP : https://bit.ly/3Fvursm
  28. Neural Network : https://lnkd.in/gThs2AAp
  29. Deep Learning : https://lnkd.in/gVbSPae2
  30. Machine Learning : https://bit.ly/3mZ5Wh3
  31. Apache Spark : https://lnkd.in/ge7Rj-Yr
  32. Hadoop : https://bit.ly/3Lq34DR
  33. Big-O Notation : https://lnkd.in/gfYqM8WU
  34. Regular Expression : https://lnkd.in/gE9kZTZW
  35. Unix/Linux Permissions : https://bit.ly/3ZUfwA8
  36. Python String Formatting : https://lnkd.in/d4s3W779
  37. Flask : https://lnkd.in/gGzbSTgU
  38. Django : https://lnkd.in/grZcWz8y
  39. Plotly : https://lnkd.in/d8SKxbdA
  40. PostgreSQL : https://lnkd.in/gzfiW7zB
  41. MySQL : https://lnkd.in/g4JnPVTe
  42. MongoDB : https://lnkd.in/gHc4F4ER
  43. TensorFlow Probability Cheat Sheet : https://lnkd.in/gr3bgDGP
  44. OpenAI GPT-3 Documentation : https://lnkd.in/gawB_SC9
  45. GPT-3 API Reference : https://lnkd.in/gtCGZvX8
  46. SciPy : https://ow.ly/JYCN50PjRG7
  47. Chat GPT Cheat Sheet : https://lnkd.in/e43cDB9q
  48. Colors in dataviz : https://lnkd.in/dWU6WkhU
  49. Geospatial data science in Python : https://lnkd.in/gCbqNXFn
  50. Network analysis : https://ow.ly/fYm550PjRyf

Credits for the original curation go to Brij kishore Pandey

Interesting Python Libraries

  • Mito - Explore, transform and present your data with the ease of Excel. All without leaving Jupyter.
  • DASK - Dask is an open source library for parallel computing written in Python.

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