A collection of useful Python code snippets and some coding problem solutions from leet-code ad educative.io websites.
- Python : https://lnkd.in/grD8XUS6
- Pandas : https://lnkd.in/g4yTJ7CP
- NumPy : https://lnkd.in/gg9Uw-km
- Matplotlib : https://lnkd.in/gahrGicD
- Seaborn : https://lnkd.in/gcu4UKpw
- Scikit-learn : https://lnkd.in/gGfkNu5i
- TensorFlow : https://lnkd.in/g3fw3uRV
- Keras : https://lnkd.in/gfPTfbgg
- PyTorch : https://ow.ly/6TQI50PjRA5
- SQL : https://lnkd.in/gnwe4qcb
- GeoPandas : https://lnkd.in/d-hnRaJt
- Git : https://lnkd.in/gyzhztvH
- AWS : https://bit.ly/3ZQWMS1
- Azure : https://bit.ly/42f4N4V
- Google Cloud Platform : https://bit.ly/3JJADzv
- Docker : https://bit.ly/3Lt2zJe
- Kubernetes : https://lnkd.in/gjXCT7Mb
- Linux Command Line : https://bit.ly/3FtcTgw
- Jupyter Notebook : https://lnkd.in/g7cPmgHQ
- Data Wrangling : https://bit.ly/3TiMibP
- Data Visualization : https://lnkd.in/gQ52Jd_J
- Statistical Inference : https://lnkd.in/grNXVQh5
- Probability : https://lnkd.in/gvnWCphc
- Linear Algebra : https://lnkd.in/gty6XpVF
- Calculus : https://lnkd.in/gjhsmsxu
- Time Series : https://bit.ly/3Fvuep4
- NLP : https://bit.ly/3Fvursm
- Neural Network : https://lnkd.in/gThs2AAp
- Deep Learning : https://lnkd.in/gVbSPae2
- Machine Learning : https://bit.ly/3mZ5Wh3
- Apache Spark : https://lnkd.in/ge7Rj-Yr
- Hadoop : https://bit.ly/3Lq34DR
- Big-O Notation : https://lnkd.in/gfYqM8WU
- Regular Expression : https://lnkd.in/gE9kZTZW
- Unix/Linux Permissions : https://bit.ly/3ZUfwA8
- Python String Formatting : https://lnkd.in/d4s3W779
- Flask : https://lnkd.in/gGzbSTgU
- Django : https://lnkd.in/grZcWz8y
- Plotly : https://lnkd.in/d8SKxbdA
- PostgreSQL : https://lnkd.in/gzfiW7zB
- MySQL : https://lnkd.in/g4JnPVTe
- MongoDB : https://lnkd.in/gHc4F4ER
- TensorFlow Probability Cheat Sheet : https://lnkd.in/gr3bgDGP
- OpenAI GPT-3 Documentation : https://lnkd.in/gawB_SC9
- GPT-3 API Reference : https://lnkd.in/gtCGZvX8
- SciPy : https://ow.ly/JYCN50PjRG7
- Chat GPT Cheat Sheet : https://lnkd.in/e43cDB9q
- Colors in dataviz : https://lnkd.in/dWU6WkhU
- Geospatial data science in Python : https://lnkd.in/gCbqNXFn
- Network analysis : https://ow.ly/fYm550PjRyf
Credits for the original curation go to Brij kishore Pandey
- 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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