List of 65 Cheat sheets you will ever need.

Wonderful list of most needed cheatsheets..

 

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://bit.ly/3lnsiIz
10.  SQL : https://lnkd.in/gnwe4qcb
11. R : https://lnkd.in/gEgJ6A8j
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 t: 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/gHi26Uk2
37.  Flask : https://lnkd.in/gGzbSTgU
38.  Django : https://lnkd.in/grZcWz8y
39.  AWS S3 : https://bit.ly/3JMYe2A
40.  AWS Lambda : https://bit.ly/3Jq2QtI
41.  AWS EC2 : https://bit.ly/3JpyuYz
42.  AWS CloudFormation : https://bit.ly/3JHE3D1
43.  AWS IAM : https://bit.ly/3mYW6f5
44.  AWS API Gateway : https://bit.ly/3LvmW8K
45. AWS Route 53 : https://lnkd.in/gJWK9KqR
46.  AWS EKS : https://lnkd.in/gUZYvdvB
47.  AWS ECS : https://lnkd.in/geu_Hmu3
48. AWS RDS : https://lnkd.in/g-i6kMWB
49.  AWS Redshift : https://lnkd.in/gH_fEdU8
50.  AWS DynamoDB : https://lnkd.in/ghvfM889
51. Git : https://lnkd.in/gyzhztvH
52.  SQL : https://lnkd.in/gyierV3f
53.   PostgreSQL : https://lnkd.in/gzfiW7zB
54.  MySQL: https://lnkd.in/g4JnPVTe
55.  MongoDB : https://lnkd.in/gHc4F4ER
56.  PySpark RDD : https://lnkd.in/gTHUYckq
57.  PySpark MLlib : https://lnkd.in/ggSy4AqJ
58.  PySpark GraphX : https://lnkd.in/gmttid5x
59.  PyTorch Lightning : https://lnkd.in/gNnq5QXz
60.   TensorFlow Probability Cheat Sheet: https://lnkd.in/gr3bgDGP
61. OpenAI GPT-3 Documentation: https://lnkd.in/gawB_SC9
62. GPT-3 API Reference: https://lnkd.in/gtCGZvX8
63. GPT-3 GitHub Repository: https://lnkd.in/g56cQQPD
64. How to use GPT-3 in Python: https://lnkd.in/gSx354PM
65. Getting started with GPT-3: https://lnkd.in/g999qJmH

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